International Journal of Business Information Systems (166 papers in press)
Exploring the antecedents of co-creation in hospital-supplier relationship: An empirical study on private sector hospitals in India
by Samyadip Chakraborty
Abstract: One of the biggest challenges in healthcare is cost containment. In the face of continuously spiralling cost hospitals are facing steep competition to provide increased access to high quality services. In this backdrop, network relationship become vital and offers extensive opportunities to explore hospital-supplier relationships. Past literature highlights interaction and collaborative ambience as prerequisite to value co-creation. This study focuses on co-creation aspect in the hospital-supplier relationship context (medical-surgical suppliers) and uses a Service-Dominant Logic lens besides drawing support from Relational-View and Relational-Coordination-Theory.rnThis study aims at empirically exploring the relational antecedents of co-creation and establishing Prahalad and Ramaswamys (2004) DART(Dialogue-Access-Risk-Assessment-Transparency)framework, trust and commitment as antecedents to co-creation. Data were collected from 229 private tertiary-care hospitals in and around four major urban areas in India. The relationships proposed in the research model were tested using structural equation modelling. Results indicaternthat the DART parameters and the relational variables (trust, commitment) act as antecedents to co-creation and have significant and positive relationship, thereby enhancing co-creation activities. The study also explored the impact of interdependence between hospital and suppliers on DART parameters,rntrust and commitment besides exploring trust to DART linkages and structural model outcomes indicate significant and positive relationship for the linkages.
Keywords: Healthcare; Co-creation; Hospital-supplier relationship; Supply Chain Management; Trust;Interdependence; DART; Purchasing.
Behavioural intentional to use computers among educators
by Loh Wai Ling, Wan Fatimah Wan Ahmad, Termit Kaur Ranjit Singh
Abstract: Abstract- This study hopes to provide an in-depth understanding on computers adoption and acceptance issues among educators in Malaysian schools. The Unified Theory of Acceptance and Use of Technology (UTAUT) model developed by Venkatesh et al. (2003) was utilized to identify the strength of predictors for educators behavioural intention to adopt, accept and utilize computers in the process of learning and teaching. Questionnaires were distributed to 40 secondary school educators in Perak Darul Ridzuan with 400 returned, and a 100% return rate. Statistical Package for the Social Sciences (SPSS) version 17 was utilized for data analysis. Structural Equation Modelling (SEM) was also used to appraise the measurement and structural model. Performance Expectancy (PE) (0.31, p < 0.05) and Effort Expectancy (EE) (0.41, p < 0.05) predicted significantly Behavioural Intention (BI) to use computers, while Social Influence (SI), Facilitating Conditions (FI) and the new construct Perceived Needs (PN) was statistically not significant. Studies in the future should include educators from other schools in other states in Malaysia for more and better reliable outcomes as well as conclusions.
Keywords: computer usage; educators; UTAUT model; predictors; SPSS and SEM.
Mitigating the Risks in Managing Cloud Based IT Controls
by Shafaq Naheed Khan
Abstract: Cloud computing (CC) represents a key tool in the race for innovation across industries. However, organisations are facing constraints in implementing and leveraging cloud technology for development purposes due to a lack of skills, knowledge and talent. To address this concern, this study focuses on the impact of CC on IT staffs roles and responsibilities, within cloud user organisations. Accordingly, this study suggests skills required to mitigate the risks in the accountability and responsibility of managing IT controls. The results were empirically verified by senior IT practitioners. The empirical intervention emphasised on peoples business skills, in addition to domain knowledge and the mind-set to adapt to the changed environment. The findings of this study offers new insights for scholars and it will help IT decision makers to assess their staffs capabilities to meet their business needs and to plan appropriate selection, training and hiring policies.
Keywords: Cloud computing; competencies; skills; resource management; roles; responsibilities; accountability; people; management; IT controls.
The Opinion of Post Graduate Students on Effect of Interrelationship among the Perceptual Components with Reference to Online Shopping
by R.RAJENDRA KUMAR
Abstract: This study contemplates to identify the effect of interrelationship between the components behavioural intention through the statistical techniques such as Factor Analysis and Structural Equations Modeling. Approximately 752 students aged between 18 and 25 from Arts as well as Engineering colleges were selected through Multistage sampling method. Findings revealed that while the Perceived Ease of Use has a significant positive impact on Perceived Enjoyment, the component, Perceived Enjoyment also has a denoting positive impact on purchase intention of online shopping consumers. Unexpectedly, the component Perceived Risk (PR) has an insignificant effect on Perceived Enjoyment (PE) and Perceived Ease of use (PEoU) also has a negligible effect on the Perceived Risk. This research is first of its kind especially in Indian Context and threw new aurora on the perception of online consumers.
Keywords: Perception; Preference; Perceived Risk; Perceived Enjoyment; Perceived Ease of use; Behavioural intention.
Exploring e-Service Quality and its Relation with Customer Satisfaction in the Banking Sector: An Indian Experience
by VIVEK AGRAWAL, Nitin Seth, Dinesh Seth, Vikas Tripathi
Abstract: The purpose of this study is to explore the dimensions of e-Service Quality (e-SQ) in the context of the Indian banking sector and establish its relationship with customer satisfaction. Using a structured questionnaire, data was collected from 323 banks customers. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were used to evolve a validated factor structure for measuring e-SQ in the Indian banking sector. Multiple regression analysis was used to assess the relations between e-SQ and customer satisfaction.
The study identified a nine factor structure to measure e-SQ. The study also identified a positive relationship between e-SQ and customer satisfaction. The findings of this study can be used as a basis to provide the guidelines for improvement and training in e-SQ and would prove to be very useful to professionals. The findings have scalability from a single branch of the bank to the bank as a whole. This study is the first attempt to assess e-SQ dimensions in the Indian banking context using primary data.
Keywords: e-service quality; customer satisfaction; exploratory factor analysis; confirmatory factor analysis; multiple regression; banks.
Supporting BPMN Tool Developers Through Meta-algorithms
by Carlos Habekost, Lucinéia Thom, Erika Cota, Marcelo Fantinato
Abstract: Business Process Model and Notation (BPMN) provides an extensive set of notational elements, such as activities, events and gateways, which enable the representation of a wide variety of business processes. The purpose of this paper is to propose an approach to develop logical models (referred here as "meta-algorithms"), whose goal is to express the content described in the textual rules, for each BPMN element, considering the BPMN 2.0.2 specification. We identified that there is completeness and correctness in this approach, applying decision tables and control-flow graphs to checking the proposed meta-algorithms. Beside this, the authors applied two surveys, considering a potential audience for the proposed meta-algorithms in order to check users' acceptance. For validation results, we identified that only textual rules is not enough to implement the notational elements for 84% of the survey participants.
Keywords: BPMN; tool development; notational elements; meta-algorithms.
Information Technology Investments versus the Illusion of Control Bias
by Rodrigo Malaquias, Alberto Albertin
Abstract: The literature indicates that the characteristics of managers, including behavioral biases, affect corporate investment/financing decisions. In this paper, we analyze a specific bias that, up to the best of our knowledge, has not been addressed in the context of Information Technology (IT) investments, which is the illusion of control bias. We develop the argument that managers illusion of control negatively affects the investments in IT made by firms they manage. Through a case study, the results of this paper indicate that behavioral biases of small firms managers are related with an illusion of control, which can affect decisions on IT investments. These results have important implications for owners/managers of small firms, especially for those firms from emerging economies.
Keywords: Latin America; Development; Technology Acceptance; Small Business; Brazil; Decision-Making on IT; Organizational Performance; Corporate Decisions; Competitive Advantage; Emerging Markets.
Estimating Risk in Capital Asset Pricing for Interval-Valued Data
by Dailys Reyes, Renata Souza, Francisco Cysneiros
Abstract: The models of valuation of capital assets has been widely used in
the capital market by portfolio managers using only the values of daily closing
prices; there are several reasons to suggest that the daily high and low values of
the prices are also met. Therefore, this article proposes and analyzes an approach
to estimate the systematic risk in capital asset pricing with interval-valued data,
using as variables the high and low prices contained in the financial databases to
explain the asset returns. The approach takes into account the information within
the daily intervals of high and lowasset prices instead the most popular opening or
closing prices for estimate the regression equation of the model, for calculations
involving these intervals, the basic operations on interval arithmetic were used.
Also, we propose an interpretation for the estimated interval beta-parameter. The
approximation capabilities of the proposed model are illustrated by means of its
application the daily high and low prices on Microsoft and the S&P500 index
from 01 November 2013 to 15 January 2015. Using the proposed model with
interval-valued data improves financial valuation of capital assets as compared to
that using the standard econometric parameters.
Keywords: CAPM; Interval-valued data; Symbolic data analysis; Regression.
A Conceptual Model of Institutional Information Culture and Interpersonal Conflict Which Influence the Information System Success: Users Perception
by Mohammed Aboaoga, Mohd Juzaiddin Ab Aziz, Ibrahim Mohamed
Abstract: Information system success (ISS) has received considerable attention from researchers as it plays an important role in improving the efficiency and productivity of an organization. Several researchers have conducted empirical studies using numerous factors (e.g. organizational, technological, and individual factors) which affect the information system success. However, there are several factors which are related to institutional information culture and interpersonal conflict which may affect information system success. Therefore, this study proposes a conceptual model for influencing information culture and interpersonal conflict factors on Information Systems Success (ISS). The proposed Model consists of three independent dimensions (a) technological, institutional information culture, and interpersonal conflict) and a dependent dimension (information system success). A number of hypotheses are formulated for measuring relations among the investigated factors. To test our hypotheses, a quantitative method is adapted in data collection and analysis. For collecting data, a structured questionnaire was distributed to a sample of experts from the Ministry of Finance (MOF), Yemen. The target users are always associated with IS in their work (in the MOF). Empirically, the results of this study indicate that there is a highly positive correlation between the independent factors and the dependent factors.
Keywords: Information System Success; Perceived Need; Interdependence; Interference; Disagreement; Instability.
DOES INFORMATION SYSTEM TECHNOLOGY SUCCEED IN HELPING MANAGE DEBT?
by D. Sukma Permana, Sutaryo Sutaryo
Abstract: Using DeLone & McLean IS success model, researcher investigate what factors influence the success of Debt Management and Financial Analysis System (DMFAS) that used by Indonesia to manage around USD 56,8 billion of government debt. Eighty-four responses from 100 DMFAS users were used as data and multiple regression analysis was applied to evaluate the model. Besides the link from system quality to intention to use and user satisfaction to intention to use, all of hypothesized relationships between six variables are significantly or marginally supported. Moreover, based on indirect and total effect of causal path, among three antecedents of quality, system quality has strongest influence to net benefit. The findings of this study can be used to assess the success of DMFAS used in other country from users perspective.
Keywords: DMFAS; Debt Management; IS success model; Mandatory System; G2G System.
Portfolio of IT Investment and Organisational Performance. Moderating role of Decentralised Decision Making
by Amri Mohamad, Yuserrie Zainuddin, Nafis Alam, Pingli Li
Abstract: This research was carried out mainly to find out the results on the relationship between Transactional, Strategic and Informational IT investment with the multidimensional performance measurement in the electrical and electronic manufacturing setting in Malaysia. The second objective for this research was to study on the moderating effects of Decentralized Decision Making on the relationship between Transactional & Strategic IT investment with firm performance. Data was collected from 74 electrical and electronic manufacturing firms in Malaysia. The results suggest that transactional IT investment did not has a positive and significant relationship with financial and customer perspective. Strategic IT investment has no significant relationship with any of the perspectives. Informational IT has a significant relationship with financial and Internal Business Process perspective only. Decentralized decision making though theoretically explained as a moderator, but statistical interaction effects suggested otherwise.
Keywords: Keywords: multidimensional performance measurement; transactional IT investment; strategic IT investment; informational IT Investment; decentralized decision making; moderating effects; productivity paradox.
The Effect of Organizational Culture on Creativity and Innovation Processes (Case Study: Tondar Department of IKCO)
by Mohammad Zeraatkar, Maryam Roudneshin, Mohammad Ali Sobhanallahi
Abstract: The automotive industry is experiencing a fast growth where new products are rapidly developed in different countries. Against this background, it is highly essential to enhance creativity and innovation to reduce costs and make more competitive products than the imported items. Note that the current strategic management system of the Tondar Department, which is developed by a balanced scorecard approach based on defined visions, missions and values, emphasizes a revision of internal processes and development of creativity and innovation processes. At the same time, literature shows that a suitable cultural context is required to enhance both creativity and innovation. Organizational culture, however, plays an important role in both factors. This study was intended to accurately examine effects of the four dimensions of the Denison organizational culture model on creativity. Accordingly, the Denison Organizational Culture Model and Randsips Creativity Questionnaire were used. The statistical population included all employees of the Tondar Department of IKCO (N = 2600), where the sample size was 383 consisted of employees from Engineering, QA, Logistics and Production Departments. Study results showed that there were direct, positive significant relationships between creativity and the dimensions of the Denison organizational culture model (i.e. involvement, adaptability, mission and consistency). The organizational culture dimensions individually had a significant relationship with creativity.
Keywords: Creativity; Organizational Culture; automotive industry.
Contributions from Organisational Collaboration to Business Intelligence Solutions Success
by José Manuel Villamarín-Garcia
Abstract: Researches on Business Intelligence (BI) show that there is still a high failure, sub-utilization, and abandonment rates to its implementation. Factors related to Organizational Collaboration (OC) could contribute to the success of this kind of solutions.
According to the multi-methodology proposed by Mingers (2006), the research was carried out in four stages: appreciation, analysis, assessment, and action. This way, a systematic literature review, a survey application to people who have participated in BI research and/or implementation projects, an exploratory factorial analysis, a composite additive indexes analysis and; finally, a Pearsons correlation analysis was developed. It resulted in fourteen factors grouped in five dimensions showing that both intra and inter-organizational factors, contribute to the success of BI solutions from a managerial-organizational perspective.
Keywords: Business intelligence; collaboration; BI; organizational collaboration; inter-organizational collaboration; intra-organizational collaboration.
How do YouTubers make money? A lesson learned from the most subscribed YouTuber channels
by Bo Han
Abstract: How to make money is getting an increasing interest from YouTubers. This study develops a new model to investigate how factors such as the number of views of a YouTubers videos, the number of subscriptions to a YouTubers channel, the after-view comment rate and the after-view attitude expression rate of a YouTubers video, and the age of a YouTubers channel can influence the YouTubers yearly revenues. Data of 57 most subscribed YouTuber channels were collected. The data analysis shows that the number of views, the after-view comment rate, and the after-view attitude expression rate all have significant positive effects on a YouTubers yearly revenues; however, the number of subscriptions to a YouTubers channel does not have a significant effect on his/her yearly revenues. In addition, a YouTubers yearly revenues decrease when his/her channel gets older. This study does not only contribute a new YouTube monetization model to the video sharing research community, but also provides several practical implications to entrepreneurial YouTubers.
Keywords: YouTube; YouTuber; monetization; video sharing; social media; business value.
Development and comparative performance evaluation of neural network classification techniques for manufacturing sector firms on the basis of new product growth rate
by Vikas Bhatnagar, Ritanjali Majhi
Abstract: Continuous changes and improvements in new product development and its process have
brought competition to its peak among the manufacturing sector firms. Incessant improvement
considers as the only option for sustainable development and growth. New products have been
launched by firms at regular interval of time to stay updated with present market trends and
followings. Recognizing current status of the firm with respect to its competitors is of utmost importance for better strategy formulation and decision making. In this study electronics, garment and metal & machinery industries are chosen for an in-depth analysis because of enormous growth shown by them in past few years. Firms are categorized into three classes termed as innovative, mediocre and traditional on the basis of their new product growth rate (NPGR). Adaptive exponential functional linked artificial neural network (AEFLANN) along with other neural network models and conventional methods of classification has been employed. An extension of AEFLANN model using derivative based (RLS) and derivative free (PSO) algorithm has been proposed. Comparative performance analysis for neural network and conventional classification algorithms has been made. Neural network classification models outperform other employed models in terms of classification accuracy.
Keywords: New product growth rate (NPGR); Discriminant analysis; Support Vector Machine (SVM); K-Nearest Neighbor (K-NN); Multilayer Perceptron (MLP); Adaptive Exponential Functional Linked Artificial Neural Network (AEFLANN); Particle Swarm Optimization (PSO).
Survival study on privacy preservation based security techniques for load balancing in cloud computing
by Jawahar Muthusamy, Sabari A
Abstract: In the field of information technology, cloud computing is an emerging technology. In cloud computing environment, cloud computing provides cloud services such as store and access the data to the user with many features. Cloud computing employed with a network of remote server hosted on the cloud to perform services on cloud data than the local server (Shen et al., 2017). Cloud act as a service provider or data center to cloud user by ensuring many resources such as Software (SaaS Software as a Service), Infrastructure (IaaS Infrastructure as a Service) and Platform (PaaS Platform as a Service) among the internet. Based on the guidelines specified by cloud service provider, the cloud user utilizes these resources. Data security is the significant task (Jiang et al., 2015) to provide privacy by assuring that the data stored on the cloud is protected from unauthorized access. Privacy preservation plays an essential role in providing of security (Gholami and Laure, 2015) to the data access on a cloud environment. The privacy preserving ensures whether the data is protected from unauthorized users. The secured cloud storage is a service to securely preserve, maintain, control and backup the data on the cloud. In addition, the balancing of load carry outs in cloud server to avoids the unauthorized access (Zhou et al., 2016). In cloud computing, security issues are obtained with third-party controls and assurance in outsourcing agreements. However, while storing data on the cloud, privacy and load balancing are the main concern to address the security issues on a cloud server. Therefore, our research work is focused on providing cloud security with load balancing in a cloud server.
Keywords: Cloud data storage; Data security; Privacy preservation; Load balancing.
Investigating employees perception of the security of medical data: an empirical analysis from India
by Vandna Sharma, Nirmalya Chakraborthy, Jayanthi Ranjan
Abstract: A large number of organizations are now considering medical data of employees as critical organizational information. Hence, these organizations are mandating their employees to submit medical checkups and health reports. This information is generally stored in electronic format within the organization. The current study aims at analyzing the perception of employees regarding issues surrounding the security of medical data in Indian organizations. A closed-ended questionnaire has been deployed to collect the responses. The respondents include employees of companies operating in the Healthcare, Telecom, and Information Technology industries in India. The questionnaire was circulated in the physical and electronic mode. Convenience sampling has been deployed in order to select the respondents. The final sample includes responses from 372 respondents. Exploratory Factor Analysis has been utilized to obtain the factors considered relevant for analyzing perceptions towards medical data security. Confirmatory Factor Analysis (CFA) has been deployed to test whether the various measures of different constructs are in accordance with their theoretical understanding. The interpretation and managerial implications have also been discussed.
Keywords: Information security; Medical Database; Confirmatory Factor Analysis; India.
Sustainability through information systems: How can information systems lead to sustainable business models?
by Wail El Hilali, Abdellah El Manouar
Abstract: Sustainability is the quest of almost every company nowadays. The rise of awareness, the willingness to reinforce the brand image and to cut costs are the main drivers that push companies to invest in this field. Finding a way to reduce environmental impact and to boost social prints without impacting revenues is the ultimate goal to reach. Many researches were done in order to find the secret sauce to achieve sustainability including the adaptation of the business models. We propose to review in this article the most important ways adopted in order to reach this equilibrium. We focus after on business models and suggest a new way of thinking by using the power of information systems to reach sustainability. We introduce later the DEMATEL method to highlight the dynamics and the mutual impacts created by the business models elements while trying to find the equilibrium between the economy, the society and the environment. We apply this approach on the case of a telecom operator in Morocco.
Keywords: Sustainability;Business models; Sustainability through information systems; Sustainable business models; Green IT; DEMATEL.
INVESTIGATION ON OPTIMIZATION, PRIORITIZING AND WEIGHT ALLOCATION TECHNIQUES FOR LOAD BALANCING AND CONTROLLING MULTIMEDIA TRAFFIC IN WIRELESS MESH NETWORK
by Raja G P, Mangai S
Abstract: Wireless Mesh Network (WMN) is a type of Wireless ad hoc network where radio nodes are wirelessly connected within sizable geographic area through mesh topology. The best path is identified by routing metrics to ensure efficient data transmission from source node to destination node. The performance of routing is concern with set of routing constraints such as bandwidth, network delay, energy consumption, load balancing and communication cost. The routing constraints are needed to be resolved to improve the WMN performance. In WSN, network load balancing plays a significant role to achieve effective routing without traffic. The energy consumption is an additional factor to provide high-quality data delivery at the destination end. Our research work is concentrated on developing the energy efficient and load balanced routing in WMN.
Keywords: Mesh; Interference; Load-balancing; Routing; Energy Consumption; Wireless Mesh Networks.
The Impact of ERP Systems Adoption on Management Accounting Practices in the Jordanian Manufacturing Companies
by Zaidoon Alhatabat
Abstract: The Enterprise Resource Planning (ERP) system is a complex and comprehensive software that integrates numerous companies functions and resources. ERP systems have become vital strategic tools in todays competitive and dynamic business environment. The aims of this study are to explore: the impact of ERP implementation on Management Accounting Practices (MAPs), and main attributes that influence the ERP implementation in Jordanian manufacturing companies. A questionnaire survey was distributed to 66 Jordanian manufacturing companies and 52 questionnaires were received, which represents a (78%) response rate. This study shows that ERP has connected and integrated a wide range of Jordanian manufacturing companies functions and resources, which offers them a new platform of information on how to manage their operations holistically. This can explain the considerable variation in the extent of MAPs adoption among the Jordanian companies, and Enterprise Systems (ES) have the potential to facilitate both conventional and advanced MAPs. Finally, dealing with changes in business operations, the best practice recommendations, and recommendations from different professional bodies were found as main institutional attributes leading to the use of ERP. Furthermore, lack of sufficient support and lack of top management support to implement new practices were the two main other factors that may prevent ERP implementation in the Jordanian context.
Keywords: ERP Systems; Management Accounting Practices; Manufacturing Companies; Jordan.
An Energy and Delay Aware Optimal Data Aggregation using Three Fold Algorithm for WSN
by Adam Raja Basha
Abstract: Wireless sensor networks (WSNs) have been regarded as an emerging and promising field in several applications like facility, health, environmental monitoring, military survival lance and target tracking. Due to their unique characteristics such networks suitable for those real-time applications, such as ease deployment, handling and self-organization. The technical challenges in terms of energy and delay are need to address here, and data aggregation is basic solution to solve those problems by forward useful datas to destination. However, the data and connection loss occurs in the data forwarding, here we propose energy and delay aware optimal data aggregation (EDODA). We make three main contributions in EDODA method: firstly, we propose a new clustering technique using an improved swarm optimization (ISO) algorithm to make balanced clusters, which minimize the energy consumption. Secondly, the modified multi-fruit fly optimization algorithm (MFOA) is used to determine aggregated nodes (AN). Thirdly, we introduce a new searching method using fish-food search (FFS) algorithm based on the destination functional characteristics, which provides routing between source-destination. The results show that the improvement of proposed EDODA method in terms of delay, energy and network lifetime
Keywords: wireless sensor network (WSN); optimal partial aggregation (OPA); multi-fruit fly optimization algorithm (MFOA); clustering; searching method (SM); time on task (ToT); fish-food searching algorithm (FFS); aggregation nodes.
Managing uncertainty in ferry terminals: A machine learning approach.
by César López-Ansorena
Abstract: Ferry service across the Gibraltar Strait usually faces with the congestion problem at ferry terminals. Recognising the need to manage this problem, port managers must be prepared in advance to reduce waiting times, give space in the car park, coordinate ferry departures, etc. With this aim we propose a Machine Learning methodology based on a Classification and Regression Tree (CART) model. Thus, by means of the CART model, port managers can predict (with a certain error) the number of vehicles (or passengers) that will use the ferry terminal in the future. The accurate prediction that the model provides is crucial not only for port managers, but also for ferry operators. Our CART gives the predicted value and the measure of the expected error. Both are presented in sunburst graphs.
Keywords: machine learning; CART; ferry terminals; decision trees; traffic prediction; passengers; vehicles; port management; classification; regression.
The Effect of Price Promotions on Impulse Buying: The Mediating Role of Service Innovation in Fast Moving Consumer Goods (FMCG)
by Seyed Hasan Hosseini, Fatemeh Haghverdi Zadeh, Majid Mohammad Shafiee, Ebrahim Hajipour
Abstract: With the global economic integration, the development of international activities reduce trade barriers in the exchange between countries, and the intensification of competition, Knowledge of customer preferences and encouraging them to buy has become vital for the survival and development of enterprises. (Spicy consumer goods or fast rotation). FMCGS the aim of this study is explain the impact of price promotions on the process of immediate buying in goods of Isfahan that based on an infinite population, the sample is 384 person. Statistical Society was customers of hyper star Store. In order to collect data, a questionnaire is used with good reliability and validity and analysis of structural equations. The results suggest hypotheses have been accepting In other words, it is effective in 95% Confidence level of price promotions on impulsive buying behavior, pricing promotions on service innovation, service innovation on impulsive buying behavior. The other results of this study is confirmation of the impact of price promotions mediator between service innovation and impulsive buying behavior of customers hyper star city.
Keywords: Price promotion strategies; Innovation Services; Impulse buying; Fast Moving Consumer Goodsrnrnrnrnrn.
ANTECEDENTS AND CONSEQUENCES TO APP ENGAGEMENT AMONG YOUNG CONSUMERS IN INDIA
by Souvik Roy, Santanu Mandal
Abstract: The purpose of this paper is to comprehend the causes and outcomes of smart phone application retention among young consumers belonging to generation Y in India. To address this question, we have proposed a construct called app engagement and have tried to establish antecedents and consequences of the same. This study conceptualizes attachment with smart phone application as app engagement from customer brand engagement perspective. Based on insights from information technology and marketing perspectives, certain antecedents and consequents of app engagement are identified. We posit app interactivity and app involvement as dominant antecedents of app engagement while trust, commitment and loyalty for apps as its valid consequences. PLS was used to analyze 232 completed survey responses for testing the validity of the proposed relationships. The empirical findings suggested app interactivity and involvement contributes greatly for app engagement which in turn positively contributes towards the development of app trust, app commitment and app loyalty among young Indian consumers. This paper contributes to both theoretical knowledge as well as managerial practice. On the theoretical front this paper, tries to explain the users app engagement behavior, while on the managerial front it tries to explicate various strategies that a manager should adopt to improve app retention/continuous usage amongst its targeted users.
Keywords: App engagement; Customer brand engagement; Mobile Apps; App involvement; App Interactivity; App commitment; App trust; App loyalty etc.
Designing Infrastructures and Requirements Model of International Markets Development in ICT Industry
by Hossein Tehrani, Aasadollah Kord Naeij, Seyed Hamid Khodadad Hosseini, Asghar Moshabbaki Esfahani
Abstract: As Iran needs to develop the competitiveness of companies active in the field of information and communication technology, researchers, according to reviewing studies and former research, at first, extracted two primary models of infrastructures and requirements. But, as extracted factors were not native and related to communications and information technology market, experts views were used with both interview and Delphi methods. Research method is a mix of quality and quantity and its purpose is also developmental and applied. First, using interviews with 10 experts, 60 factors were identified and 45 factors were also identified from literature, totally 105 factors were entered into Delphi stage. 15 experts agreed on 44 factors during three stages. Then, using the professional views of 110 experts and professionals in companies active in the field of ICT, 44 factors identified was classified using exploratory factor analysis. Results obtained classified factors into 4 groups that made the final configuration of model.
Keywords: Communications and Information Technology Industry; International Markets Development; Infrastructures and Requirements of Market Development; Mixed Qualitative and Quantitative Methods.
Effects of Perceived Ease of Use on SNSs-Addiction through Psychological Dependence, Habit: The Moderating Role of Perceived Usefulness
by Abdul Hameed Pitafi, Shamsa Kanwal, Ali Nawaz Khan
Abstract: Social Networking Sites (SNSs) provide a public platform for communication, interaction, and socialization. The intention behind conducting this research was to evaluate whether perceived ease of use and related factors influence SNSs addiction and to discover their connection with this excessive use. Theoretically, we developed a model which integrates perceived ease of use with habit and psychological dependence to predict social networking addiction and tested the model among university students in Pakistan. Further, we examined the moderating effect of the perceived usefulness of these connections. The link between perceived ease of use and social networking addiction and psychological dependence is moderated by perceived usefulness. However, perceived usefulness shows an insignificant moderating relationship with habit. This study data was collected online using a Google documents application on a sample of university students in Pakistan. In total, 336 samples were collected and analyzed with SPSS version 21. The results show that Pakistani students tend to have higher SNSs addiction because of its perceived ease of use.
Keywords: SNSs-Addiction; Perceived Usefulness; Habit; Pakistan.
Proposing a technical human resource competence model in cyberspace media: a qualitative approach
by Sayed Majid Zanjani, Ali Shaemi Barzoki, Ali Kazemi, Arash Shahin
Abstract: The purpose of this study is to identify the dimensions of the human capital capability model in the cyberspace of national media. This study is typically qualitative and the field study has been performed on the cyberspace experts in Islamic Republic of Iran Broadcasting (IRIB) organization who have been selected and interviewed by semi-structured deep interview method. The interview continued with 26 experts to reach the theoretical saturation. Then, using content analysis technique, data analysis has been performed. Findings indicate that core competencies in the field of cyberspace can be explained in five core individual capabilities including competencies, knowledge and academic competencies, interpersonal and communication competencies, organizational competencies and virtualization competencies. In addition, 85 subordinate competencies can be extracted out of the total results.
Keywords: human capital; competency; national media; cyberspace; qualitative approach; IRIB.
An Empirical Study on Effective Factors on Adoption of Cloud Computing in Electronic Banking: A Case Study of Banking Sector
by Alirez Aalizadeh, Mehri Chehrehpak, Arash Khalili Nasr, Samaneh Zamanifard
Abstract: Cloud computing as a new technology can provide significant advantages in electronic banking services. Adoption of this technology in e-banking services requires consideration of several factors. The main objective of this study is to identify and rank the effective factors on adoption of cloud computing in e-banking. The factors were identified from literature review in 4 dimension based on TOE and HOT-fit models (technological, human, environmental and organizational factors). As a result of this study, 16 factors were identified in 4 dimensions. Using fuzzy group decision-making model and pairwise comparison between factors (by a survey of 63 experts, academics and practical persons in the field), those factors were weighted and ranked. The results show that technical, environmental, human and organizational factors respectively should be considered for adoption of cloud computing in e-banking and especially "Privacy and Security", "Political problems", "Complexity" and "Compatibility" are main factors in adoption of cloud computing in Iranian e-banking services.
Keywords: Electronic banking; cloud computing; technology-organization-environment model; human-organizational-technologic fit model; fuzzy multi-criteria decision-making; Analytical Hierarchy Process (AHP).
Effective Satellite Image Enhancement Based on the Discrete Wavelet Transform
by Vani R., Soundara Rajan K.
Abstract: Satellite image enhancement and restoration is scientifically possible by applying image processing and other soft computing techniques. In this study, a comparison of various existing satellite image resolution enhancement techniques in wavelet domain has been done. I propose a new satellite image enhancement technique based on DCWT-GWO. The novel technique employs the duel tree complex wavelets which, in relation to the classical wavelets, permit a faster execution of the wavelet transforms and furnish incredible flexibility in the generation of the wavelets. An effective system for noise reduction have designed in the backdrop of diverse categories of noise, where an optimal threshold is chosen for each sub band at diverse scales by means of the Gray Wolf Optimization (GWO) algorithm. The optimal threshold will denoise the image effectively. The fitness of the optimization algorithm determine the quality of the image.
Keywords: Satellite image enhancement; Discrete Complex Wavelet Transform; Gray wolf optimization.
The Role of Social Platforms in Establishing Brand Awareness for B2C E-Commerce: Empirical Study.
by Radwan Al-Dwairi, Yousra Harb, Issa Shehabat
Abstract: Social media are computer-mediated technologies that facilitate and create an online environment. Hence, firms can use such media as an effective marketing and advertising tool to reach different categories of customers locally and globally and create brand awareness. Little evidence is available of how social media tools influence the creation of brand awareness among consumers. Also, not all companies are successful in this endeavor. Therefore more research is essential in this domain. In response, this paper offers a good opportunity to seek and study the key factors that might participate in establishing such behavior and proposes a model for such phenomena. Results of the study showed that e-wom, user-generated-content, and product quality have a positive significant impact on customer's establishment of brand awareness. The results contribute to understanding of the value-enhancing potential of social media campaigns and demonstrate how the perception of brands is influenced through this new communication channel.
Keywords: Social media; Brand awareness; user-generated-content; e-wom; interactivity; information quality; credibility; intention.
THE ENDOWMENT EFFECT IN THE PREFERENCE FOR NON-MONETARY MOTIVATIONAL FACTORS
by Alagirisamy Kamatchi Subbiah Sukumaran
Abstract: Employees attached more preference for current benefits of non-monetary factors than future benefits, confirming the endowment effect. The current benefits of motivation exhibited direct effect on employee performance. The distant benefits had no direct effect but exhibited mediation effect by contributing to the current benefits. The employees having low level of literacy and those in the operative cadre were more inclined towards the current benefits when compared with their counterparts. Marital status of the employees was found not influencing the preference for the current benefits. The study is probably the first to attempt an examination of the endowment effect on non-monetary motivational factors in employee performance.
Keywords: Endowment effect; Non-monetary motivational factors; current benefits; distant benefits; employee performance.
THE INTERSECTION OF HEDONIC AND UTILITARIAN VALUES ON INTEGRATED-SOCIAL MEDIA RETAILERS
by Gaffar Hafiz Sagala, Sumiyana Sumiyana
Abstract: This study investigated the e-commerce success using a new model that integrates the hedonic and utilitarian values. This study posits two new model constructed by Wang and Scheepers (2007) and Wang (2008). The studys results suggested that the hedonic and utilitarian values could explain users behavior, especially in their satisfaction and intention to repurchase. It also means that the unified hedonic and utilitarian concepts could improve the success model. Even though the most previous studies show that the utilitarian value-based model has a better goodness fit than that of the hedonic model, this study infers that both hedonic and utilitarian characteristics are alliance. This result implies that all system designers and developers should induce both hedonic and utilitarian contents into the information systems when they built. Because of this value integration, e-commerce managers could get broader market adoption and achieve their business sustainability.
Keywords: hedonic-utilitarian value; online retailers; IS-success; repurchase intentions.
Making the Information Technology (IT) Business Alignment Works: A Framework of IT-based Competitive Strategy
by Ira Puspitasari, Ferry Jie
Abstract: Seamless ITbusiness integration enables superior performance and provides value creation opportunities for an enterprise to achieve a sustainable competitive advantage. Yet, creating IT-business alignment remains a challenge. Some users consider the existing IT-business alignment methodologies too complicated for practical implementation. This paper proposes a simplified and practical framework, an IT-based competitive strategy framework, to align an IT strategy with enterprise businesses based on a design science research methodology. The framework consists of three elements to formulate a comprehensive IT-based strategy, i.e., value drivers of IT implementation, competitive factors, and an IT competitive strategy. The framework evaluation includes interviewing experts and practitioners, applying the proposed framework in an Indonesian enterprise, and assessing the framework benefits on a qualitative basis. The observational evaluation with the experts concludes that the proposed framework is helpful for the targeted users. The framework application in a company also demonstrates the advantage and the usefulness of the proposed framework.
Keywords: IT business alignment; IT management; IT-based competitive strategy; IT business alignment framework; competitive strategy; IT strategy.
Green IS information system framework to support environmental sustainability of firms
by Somnath Debnath
Abstract: With increasing awareness of sustainability issues, businesses are being scrutinized to reduce their ecological footprints and resource intensity. Information technology and systems (IT/IS) being the backbone to support information needs of firms, cannot shy away from the responsibility of supporting firms with sustainability choices, much of which has remained confined to short-term strategies like reducing energy usage and carbon footprint of IT landscape. By leveraging process-oriented view of organizational functions, we explore how green IS can partner with the business processes (green or red) to encapsulate inherent and desired environmental considerations, and bring other IS elements like technologies, systems, and users together to interact. This, we postulate, not only introduces elements like uncertainty, complexity, and dynamism, that characterizes green IS (as a field of study) and differentiates it from traditional IS, but also challenges green IS to deal with a new and evolving information space.
Keywords: green IS/IT; green BPM; business process; sustainability; green processes.
Toward Automatic Web Service Composition based on Multilevel Workflow Orchestration and Semantic Web Service Discovery
by Arul Uthirapathy, Prakash Savarimuthu
Abstract: Revolutionary development of Service Oriented Architecture (SOA) fosters the integration of software components from different distributed platforms and facilitates modelling of web service composition. However, the existing four stage framework used for Automatic Web Service Composition (AWSC), which has drawbacks and incompleteness in terms of dynamic change of user goals, adopting the functional properties for describing behavior of candidate services and implementing unified composition framework. To overcome these drawbacks, we propose a framework for automatic and dynamic service composition that requires adding advances of semantics to web services and modifying the existing four stage framework. We provide a multilevel workflow orchestration using an enhanced five stage composition framework for achieving dynamic change of user requests and scalability for automatic composition. This proposed framework can able to handle both functional and non-functional requirements through transformation techniques for providing a feasible composition solution. Furthermore, it provides a solution for the problem of discovering and selecting the most suitable service candidates using Semantic Web Service Discovery (SWSD) mechanism.
Keywords: Service Oriented Architecture; SOA; Automatic Web Service Composition; AWSC; workflow orchestration; non-functional requirements; service discovery.
An Information Systems Ownership Framework
by Alta Van Der Merwe, Adri Swanepoel, Johan Van Loggerenberg
Abstract: Organisations deploy information systems (IS) with the exclusive intention to pursue their business objectives. Executive managers assign ownership of IS to business leaders, expecting them to leverage the IS towards achieving the objectives of the business areas. Many business leaders are reluctant to take ownership of the IS in their business areas, placing the organisation at risk that IS may not be optimally utilised and business areas not attaining their objectives. Little guidance exists to understand what taking ownership of IS entails. In the research a framework for understanding IS ownership was developed through a process of induction. The IS ownership framework discusses the different perspectives of the role-players with respect to defining IS ownership, the rationale for IS ownership, the criteria for having ownership and the rights, obligations and expectations associated with IS ownership.
Keywords: Information Systems; IS ownership; psychological IS ownership; formal IS ownership.
Determinants of Cloud ERP Adoption in Jordan: an Exploratory Study
by Mannam Zamzeer Makasees, Yazan Alshamaileh, Hamad Alsawalqah, Malak Al-hassan, Esraa Fannas, Sara Sameer Almbaidin
Abstract: Enterprise resource planning (ERP) systems are usually adopted through two major options: cloud computing or on-premise infrastructure. The issues related to hardware, servers, implementation costs, and facilities, which are necessary to run on-premise ERP systems, are rather great for small and mid-sized enterprises (SMEs). The purpose of this research is to highlight the factors influencing cloud ERP adoption among SMEs. The technological, organisational, and environmental (TOE) model will be used as a theoretical base. This qualitative, exploratory study gathers data from thirteen different SMEs and cloud ERP service providers through semi-structured interviews, focusing on SMEs in Jordan. According to our results, support from both service providers and top management within the company play an important role in whether a firm adopts cloud ERP services, in addition to a number of other factors at varying rates. Research findings can be used by service providers and business owners to enhance their approach to cloud ERP by showing the reasons why some SMEs chose to adopt this technology and others did not. Cloud ERP providers need to intensify their efforts to build a progressive environment for their services that will eliminate any ambiguity regarding this type of technology.
Keywords: Cloud; enterprise resource planning; TOE framework; Jordan; small- and mid-sized enterprises; information and communication technology.
Understanding Citizens Continuance Intention to use e-Government services: The case of the Indian Railway e-ticket booking Site
by Jose Puthur, A.P. George, Lakshman Mahadevan
Abstract: The emergence and expansion of e-government initiatives has brought interesting facets of e-services on the internet. To sustain such initiatives, it is important to understand the factors that improve the users intention to re-use such e-services. This research tries to identify the factors that influence the citizens to avail the e-services provided by the Ministry of Railways, Government of India. The result of this study shows that the two major determinants of technology acceptance (TAM) namely Perceived Usefulness and Perceived Ease of Use along with Trust and Computer Self-efficacy explain over seventy percent of the variance in the users intention to reuse the e-ticket booking site of the Indian railways. The findings have important implications for e-Government portals such as the Indian railway booking site that strive to meet citizen expectations. Specifically, the e-ticketing website should contain user-friendly, high-quality information content, and excellent website quality in order to enhance citizens intent to re-use their services.
Keywords: e-government; Indian railways; e-booking; Intention to reuse.
DISCREPANCIES IN INFORMATION TECHNOLOGY STRATEGIC ALIGNMENT IN HEALTHCARE
by Soleil FARAH, Marc BONNET, Kamar DAMAJ
Abstract: Information technology contributes significantly to the healthcare industry. Healthcare IT, if efficiently managed, can decrease expenses; enhance hospitals processes, patient satisfaction and care. From this perception, the necessity to improve Information Systems Management becomes a significant governance and structural concern in hospitals. Therefore, it is fundamental to set an appropriate IT strategy, provide means to manage and implement it. IT Strategic Alignment is crucial to developing and maintaining all kind of information and communication that supports patients treatment processes, business operations and ameliorates organizational social and economic performances. This study is a kind of action research project, and more specifically a Qualimetrics Intervention Research methodology, a transformative approach, conducted in a private hospital in Lebanon. As technical systems are turning out to be more complex and progressively indispensable to healthcare organizations, there is a rising awareness to keep up a sustainable environment, through maintaining intellectual, social and operational strategy of the organization.
Keywords: IT Strategic Alignment; Operational Alignment; IT management; Efficiency; Sustainable environment; Qualimetrics Intervention Research; Healthcare.
Role of Contextual Factors in Influencing User Evaluation of Information System: An Analytic Hierarchical Process approach
by Meenakshi Jakhar, Sanjay Kumar
Abstract: Continuous evaluation of information systems (IS) is critical for their improvement. The context in which a system is embedded is a critical determinant for evaluation of its success. The paper explores the role of contextual factors in impacting the user evaluation of IS with regards to two key dimensions: information quality (IQ) and interface usability (IU), using a multi criteria decision making (MCDM) technique, Analytic Hierarchical Process. The contextual factors include organisation size, industry of operation, type of IS, functional area and managerial level of user. The results show that excluding industry, all contextual factors significantly influence the user perception of IS evaluation. Additionally, IQ attributes of accuracy and reliability and IU attributes of efficiency and guidance are perceived as most significant by the users for IS evaluation.
Keywords: Information system evaluation; Information Quality; Interface Usability; User perception; Contextual factors; Analytic Hierarchical Process.
Road Map for the Implementation of Enterprise Resource Planning: A Grey Relational Analysis Approach
by Amir Karbassi Yazdi, Yong Wang, Ghanbar Abbaspour Esfeden
Abstract: Helping managers effectively allocate limited strategic resources in the organization, enterprise resource planning (ERP) is one of the most important organizational systems that assist accurate and on-time decisions. The aim of this study is to rank critical successful factors (CSFs) for the implementation of ERP in the insurance industry. Although many organizations have adopted ERP, only a few of them are able to achieve the strategic goals. In this study, CSFs for ERP implementation are identified and then ranked by employing grey relational analysis (GRA). The results reveal 12 CSFs, and among them, organizational culture, advanced technology, and staff are considered the highest priority. Based on the results, research and managerial implications are provided.
Keywords: Enterprise Resource Planning (ERP); Uncertainty Environment; Grey Relational Analysis (GRA); Critical Successful Factors (CSFs).
Acceptance and Use of e-hailing Technology: A Study of Uber Based on the UTAUT2 Model
by João Soares, Juliana Christino, Marlusa Gosling, Luciana Vera
Abstract: For the first time in Brazil, an article presents an assessment of the technology employed in the provision of the e-hailing sharing economy service from the perspective of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), developed by Venkatesh et al. (2012). It aims at providing an understanding of the factors that predict the Behavioural Intention of the service. In order to achieve this goal, 311 users of the Uber service in Brazil were interviewed for a survey. Uber, as an e-hailing service, enjoys significant use in Brazil and worldwide. The analysis of the data was done by means of exploratory factor analysis and structural equation modelling methods. The results pointed out that the factors Price Value, Performance Expectancy and Habit were the most relevant aspects influencing the customers choice of e-hailing.
Keywords: Sharing Economy. e-hailing. Uber. Unified Theory of Acceptance and Use of Technology 2 (UTAUT2).
MODEL PAYMENT ORDER IN THE SEPA SYSTEM
by Miodrag Sretenovic, Bozidar Kovacic
Abstract: The process of modernisation, rationalisation and automation aimed at increasing productivity and cost-efficiency is not feasible without the continuous investment and application of modern information technology. Single Euro Payment Area (SEPA) is a single payment system in EUR, within and between the European Union (EU) member states and the European Economic Community (EEC). Performing payment transactions by manual or semi-automatic input (template) is time-consuming and includes a high probability of error. Development of a model for automating the execution of a payment order enables faster and errorless execution of payment transactions. This paper describes a platform for the exchange of digitised contents for payment orders in the SEPA system and methods used in the development of an automated system for the exchange of data with business banks. The paper presents the improvement in the execution of payment orders using the SEPA system and also offers directions for further development.
Keywords: SEPA; e-business; payment system; payment order; data modelling; model payment order.
Cloud Computing in Healthcare - A vision, challenges and future directions
by Rakesh Raut, Balkrishna Narkhede, Vaibhav Narwane, Bhaskar Gardas
Abstract: In the era of cloud computing (CC), many organisations have successfully adopted and leveraged CC capabilities to improve their business performance and economic performance. However, past literature on CC has put the limited focus on cloud-healthcare domain. In this context, this paper aims to provide a systematic literature review of cloud computing in healthcare (CCH) capabilities, usages, and other challenges across countries over a period of the healthcare industry. The paper presents the bibliometric analysis of research papers of 750 found on CC from 2011 to 2017 and after scrutinising 81 articles were considered for the review, which was related to CCH. This article contributes to theorising CC capabilities in the context of healthcare and provides future direction of research in this field.
Keywords: Cloud computing; Healthcare; Health-4.0; Cloud health issues; Big-data analytics.
Towards Development of a Cyber Security Capability Maturity Model (CSCMM)
by Durga Prasad Dube, R.P. Mohanty
Abstract: Business processes are increasingly becoming technology driven. Disruptive technologies like social, mobility, analytics and cloud (SMAC) and internet of things (IOTs) have made a paradigm shift in the information technology space. With this evolution, the cyber security threats to digital infrastructure also have been increasing manifold and are a concern for the sustenance of business growth scenario. There is a need for a continuous improvement program in the cyber security posture of the organisations to keep pace with the increasing threats. Capability maturity models help to achieve this purpose. This paper presents the formulation and validation of a new cyber security capability maturity model (CSCMM) by comparing the strengths and limitations of nine contemporary maturity models and performing an empirical analysis of inputs from 200 odd relevant cross industry sector professionals. CSCMM is expected to improve the cyber security posture of the organisations to combat to the new generation threats.
Keywords: Information Security; Maturity Model; Security Controls; Cyber Security; Continuous Improvement Plan.
An E-health Decision Support framework to predict the heart disorders
by Sruthi Sivakumar, Padmavathi S
Abstract: The current evolutionary usage of data mining techniques can be imparted for the development of medical applications to analyze the health metrics. The web-based decision support framework is proposed in this work would provide the pre-guidance report based on the decision generated by Bayesian network analysis over the disease dataset. The report is generated in adherence to the mined disease patterns over the patients non-medical and medical factors which are obtained from the past medical records and predict the possibility of getting the disease for the given similar health metrics. The Bayesian model builds a decision model by analyzing the casual intervention effects of the non-medical and medical factors of each individual. The decision model would generate a pre guidance health report based on the analyzed probabilistic chances of getting the heart disorder. The predicted report is a prognostic analysis of the health metric of the individual and suspects their possibility of getting affected by heart disease.
Keywords: Bayesian Networks; Disease pattern analysis; past-clinician heart disease data; E-health care.
A Compacted triple band antenna design for GSM, Wi-Fi and WiMAX communication schemes for information computation system
by R. Saravanakumar, Vijay Kumar V.R.
Abstract: Recently, wireless communication devices like mobile phones are becoming increasingly popular. The aim of this paper is to design an antenna which can excite triple band operation with appreciable impedance bandwidth to combine WLAN/WiMAX communication specifications simultaneously in one device. A compacted triple band antenna is designed for global system for mobile (GSM) communications, WiFi and WiMax-based applications. The proposed design comprehends a rectangular ring and S-shaped strip committed to the feed line. The dimension of the antenna is relatively small (16
Keywords: Coplanar Waveguide (CPW) Fed Antenna; WiFi; WiMAX; GSM and Triple Band Antenna.
ONLINE STORE IMAGE EFFECT ON PERCEIVED RISKS TOWARDS ONLINE PURCHASING BEHAVIOUR
by Lu Man HONG, Noorshella Binti Che Nawi, Nurul Hasliana Hamsani, Wan Farha Wan Zulkiffli
Abstract: Online consumers have their own risk perception known as perceived risks. If consumers detected a variety of risks with the online purchase, consequently it will decrease the intention to shop online. The purpose of this paper is to examine the relationships between online store image towards perceived risks (financial, product-performance, time, delivery, psychological, privacy, social, and after-sale risks) and the relationship between perceived risks towards online purchasing behaviour. Data collected from 330 respondents who have experience in online purchasing suggested that online store images have influence financial, product-performance, time, psychological, social, and after-sale risks. Surprisingly, online store image has no effect on privacy and delivery risks. Meanwhile, financial, psychological, social and after-sale risks have influence on online purchasing behaviour. In other words, increased risk in product performance, financial, psychological and after-sale risks influence the online purchasing behaviour by reducing the intention to purchase the product. Therefore, online purchase platform providers, online retailers and online marketers should identify the online store image that is capable to reduce consumers perceived risks thus leading to a positive purchasing behaviour. Additionally, consumers can gain knowledge about the risks that might be faced during online shopping activities.
Keywords: Online Purchasing Behaviour; Online Store Image; Perceived Risks.
Meta-analytical structural modeling of virtual communities: The case of professional and non-professional users
by Alencar Bravo, Darli Vieira
Abstract: Currently, the factors that motivate knowledge-sharing process in a virtual community (VC) remain unclear. VCs exist in two different but similar scenarios. The first scenario involves professional VCs (PVCs) formed by professionals in similar areas looking to solve common problems. PVCs within a company often work to address similar problems in multiple plants and countries. The second scenario involves nonprofessional VCs (NPVCs). This study discusses some factors that affect knowledge sharing in virtual communities and compares the effects and behaviors between PVCs and NPVCs. We investigate these issues by quantitatively reviewing the available literature using meta-analytical structural equation modeling (MASEM) for both PVCs and NPVCs to evaluate the moderating effects of conventional professional knowledge-sharing methods. Although trust was established as a crucial element in both models, the factors associated with each model differed substantially. The absolute values of the correspondence of trust with self-efficacy and with knowledge sharing were lower for PVCs than for NPVCs. This research revealed the singularities of these different information systems applied to businesses.
Keywords: virtual communities; knowledge sharing; structural model; meta-analysis; group work; distance learning; information systems; business; motivation; MASEM.
Readiness Research for Implementing ERP Systems: A Case Study
by Faris Abu Hashish, Khalid Al-Tahat
Abstract: This research paper describes the scope of the Enterprise Resource Planning (ERP) Roadmap Recommendation for the Arab Open University (AOU) Jordan branch administrative services. It provides a high-level overview of the key processes, the major technologies supporting those processes, and the state of readiness for an ERP implementation. It also describes the result of the analysis of the various four alternatives which were identified as the most viable options for implementation of an ERP solution. Furthermore, the research also assesses the high-level As-Is business processes against the standard norms and best practices of World-Class higher education institutions and their applicability to the ERP implementation at AOU.
Keywords: Enterprise Resource Planning; Framework; Case Study; AOU-Jordan.
Developing and presenting an organizational culture model based on dimensions of Hofstede model
by Saeed Landaran, Hadi Teimouri, Mehdi Abzari
Abstract: The objective of this research is to explain and develop a model of the dominant organisational culture proposed for Fulad Mobarakeh Company. The methodology of this research is qualitative. The research population included senior managers of Fulad Company and professors of Isfahan University. Semi-structured interview was conducted with all of the subjects. Data analysis in the qualitative section was conducted based on three-step encoding of thematic analysis using Nvivo software. After examining the interviews, based on three western, traditional and Islamic subcultures, a dominant model of ruling culture in Fulad Mobarakeh Company was presented. It was confirmed by a reliable confirmatory factor analysis through LISREL software at the appropriate confidence level. According to the research results, the organisational culture model proposed for Fulad Mobarakeh Company includes the following categories and components: organisational collectivism, organisational authority and power interaction, lack of proportional uncertainty a version, organisational transgender perspective, and organisational attitudes balance.
Keywords: Western subculture; traditional subculture; Islamic subculture; and dominant culture.
Exploring Travellers Booking Factors through Online Booking Agency
by Mohd Haniff Jedin , Kohila Ranjini Annathurai
Abstract: The aim of this study is to explore the factors that travellers search for when booking the hotel through online travel agency. A survey and convenience sampling method were used in this study. For the data analysis, the researcher used 398 questionnaires which were distributed at Penang International Airport, Malaysia. The questionnaires were distributed among the travellers who travel through aviation industry. Result shows that exploratory factor analysis has identified 13 key factors of which travellers refer the most. Moreover, the result shows that, this factor analysis is appropriate and do have patterned relationship amongst the variables. Furthermore, this study provides a clear understanding for online travel agency regarding the needs of the travellers as this study helps the online travel agency to identify the factors that lead the travellers to repurchase their services which is indirectly helps the online travel agency in generating profits.
Keywords: Hotel online booking; Online travel agency; Aviation Travellers.
Factors Affecting Acceptance of Internet Banking With Technology-Organization-Environment Framework: A Perspective of Corporate Customers in Indonesia
by Yekti Wirani, Achmad Nizar Hidayanto, Muhammad Rifki Shihab
Abstract: This study is conducted to analyse factors that affect acceptance of internet banking in Indonesia from corporate customers perspective. The proposed model in this research using technology-organisation-environment (TOE) framework. This model was tested by the structural equation modelling (SEM) using AMOS 22 software. The analysis result of 334 respondents show corporate customers in Indonesia tend to consider five factor that affect acceptance of internet banking. Concerning internet banking characteristic, it was also proven that perceived cost, security, top management support, service provider support, and government support affect on internet banking acceptance.
Keywords: Technology-organization-environment; internet banking; internet banking acceptance; corporate customer; Indonesia.
A HYBRID PSO OPTIMIZED VIRTUAL MACHINE SCHEDULING ALGORITHM IN CLOUD COMPUTING
by Karthikeyan P, Alumparambil Rinta Sony
Abstract: The service to the end user in cloud computing is offered as virtual machine instances as demanded for a specified duration of time and billed on pay per use basis. A major problem faced in cloud computing is the virtual machine scheduling problem. The existing algorithms efficiently cannot satisfy the requirements with respect to resource utilisation, bandwidth utilisation, and cost. Also, most of them are of the fixed type which leads to wastage of resources. To overcome these problems, the hybrid particle swarm optimisation (HPSO) algorithm is proposed by efficiently allocating the resources to the users. This algorithm combines the genetic algorithm (GA) and the variable neighbourhood search (VNS) algorithm with the particle swarm optimisation (PSO) technique to increase the utilisation rate of the virtual machine as well as to minimise the total completion time. The proposed system is evaluated by performing simulations. The experimental results show that the proposed algorithm minimises the total completion time and increase the resource utilisation than PSO, GA and VNS algorithm.
Keywords: Cloud computing; Particle Swarm Optimization; Variable Neighborhood Search; Genetic algorithm.
The Performance evaluation of banks using Balanced Scorecard, fuzzy AHP and fuzzy TOPSIS techniques and the offering of solutions to performance improvement of banks
by Negin Akbari
Abstract: The purpose of this research is to realize how the performance evaluation of banks using balanced Scorecard and the offering of solutions to performance improvement of banks. Regarding the thematic nature of research model, experts opinion in central bank, Melli Bank as a representative of Commercial banks, Saderat bank as the representative of Specialized banks and Parsian bank as the representative of private banks have been selected. Considering that Parsian, Melli and Central Saderat banks in Semnan have been brought for this research as statistic population. Numbers of experts participating in the study were 30 persons who were interested in improving discussion. The main tools used for gathering the data in this study were company records and questionnaire. This research first summarized the evaluation indices synthesized from the literature relating to banking performance. Then, to screen these indices, 22 indices were selected for banking performance evaluation. Furthermore, the relative weights of the chosen evaluation indices were calculated by Fuzzy Analytic Hierarchy Process (FAHP) and fuzzy TOPSIS.As to the prioritization of BSCs aspects, results indicated that the financial aspect or criterion stands atop the priority list followed by the criteria of customers, learning and growth, and the internal process of the organization respectively. The results obtained from fuzzy TOPSIS method indicate that private bank is more important than specialized bank and Commercial bank in banking industry.
Keywords: performance evaluation; Balanced Score Card; Fuzzy Analytic Hierarchy Process; Fuzzy TOPSIS.
Evaluating and Redesigning of Virtual Reality Underwater Tourism Application Based on Heuristic Method
by Gede Rasben Dantes, I. Komang Sudarma, Putu Hendra Suputra, Ni Komang Arie Suwastini, Kadek Rihendra Dantes
Abstract: This study aimed at evaluating the application of VR e-Bahari in terms of the usability aspects. The method used to evaluate the usability of VR applications was semi-immersive based on Sutcliffe's 12 heuristic rules. The first step was the literature study related to the heuristic usability method and VR application. The next step was to evaluate the usability of VR e-Bahari application using the heuristic method. Finally, the researcher set out suggestions or recommendations for improvements to the application that had been evaluated for further development. The researchers also tested several positions that caused cyber-sickness symptoms. Based on the evaluation of the usability, the application of VR e-Bahari already represented the underwater environment and the completeness of 3D objects that were needed well, such as coral reef, fish, sea effect, light effect, and underwater sound effect. However the interaction between the users and applications was still less natural, sound effects and narrative information were inadequate, and there was a lack of use of the navigation buttons on the application. An important part of concern when improving the design of the application was an improvement on the VR environment constraints. There was the addition of the navigation buttons, the addition of each object's information, and the addition of air bubble effects and impact effects. While the test results of some positions indicated that the position of the head up, down, and rotate the head quickly would trigger symptoms of cyber-sickness. In addition, the users felt more comfortable using ANTVR compared to Google Cardboard.
Keywords: evaluation; usability; heuristic; semi-immersion; virtual reality; e-Bahari;.
Discovering Explicit Knowledge Using Text Mining Techniques for PeaceKeeping Documents
by Puteri Nor Ellyza Nohuddin, Zuraini Zainol
Abstract: Documents are created and converted into digital to ease users in many organisations. Sharing documents among the employees throughout the companies' computer creates a conducive environment for knowledge sharing. In knowledge management domain, contents in documents are considered as explicit knowledge that can guide employees to elevate their work production. Thus, sharing the knowledge is a competitive advantage in an organisation to develop knowledge workers. However, accumulative documents over time can be difficult to trace and reuse without a proper management system. This paper describes document analysis technique in learning knowledge contained in a set of peacekeeping training manuals. The authors adopted a text mining technique to analyse and identify the theme or subject matter of a collection training manuals. The paper also describes a demonstration using a text mining tool and describes knowledge discovery of document analysis using a visualisation technique.
Keywords: Knowledge Discovery; Knowledge Management; Explicit Knowledge; Data and Text Mining; PeaceKeeping.
A Weighted Sum Method MCDM approach for Recommending Product using Sentiment Analysis
by Gaurav Kumar, Parimala N
Abstract: In recent times, reviews of products by customers have been proliferating on the online platform. Majority of the reviews are lengthy, and going through the reviews before making a decision can be a tedious task for the user. In this paper, we extract the popular features from customers' reviews to analyse the possible opinions of these features. Choosing a product from the different combination of opinions for these features is treated as a multi-criteria decision making (MCDM) problem. Weighted sum method, a MCDM approach, is used to evaluate the priority score for each product. The product with the highest score is recommended to the user. Real-time dataset from Amazon is used to evaluate our system's performance. The experimental result shows that our proposed method produces a promising result which can help the user in the decision making process.
Keywords: Sentiment Analysis; Review Analysis; E-Commerce; Recommendation Systems; Multi-Criteria Decision Making; Weighted Sum Method.
A Comprehensive Analysis for Retinal Image Classification Methods using Real-Time Database
by M. Kavitha, Palani S.
Abstract: This paper proposes a comprehensive analysis to compare our two methods with some existing methods to prove the improvements of the proposed algorithm. Here, the comparative analysis is done by three phases like pre-processing, segmentation and classifier phase. For pre-processing, four noise removal filters like average, Laplacian, motion and unsharp are carried out to compare with Gaussian filter. The two segmentation algorithms like region growing and k-means segmentation are carried out to compare in proposed segmentation phase. For diabetic classification, the proposed classifier of Levenberg-Marquardt (LM) neural network against other four existing classifiers SCG-NN, adaptive neuro-fuzzy inference system and k-NN. Here, some different evaluation metrics such as PSNR, SSIM, sensitivity, specificity and accuracy are used to measure the performance. The test images are considered for performance analysis in real-time. The proposed approach obtained 97.5% in terms of accuracy for real-time database, which is high compared to existing techniques.
Keywords: Abnormal; Normal; Hard; Soft; Diabetic Retinopathy; Classifier; Retinal Image.
A proposed model for achieving cloud computing strategic alignment using a mixed method approach: Cloud Service Providers
by Mozhgan Marashi, Neda Abdolvand
Abstract: Comparing traditional businesses, new technologies such as cloud computing have faced new challenges to achieve strategic alignment between IT and business. Therefore, identifying the factors affecting the strategic alignment in the cloud-computing environment is essential. Hence, this study aims to introduce a model for cloud computing strategic alignment considering the role of IT governance. In this regard, the Luftmans strategic alignment framework was used as a reference model and was analyzed using qualitative and quantitative approaches. In the qualitative part, the meta-synthesis approach was used to identify the factors, and then these factors were placed in appropriate categories using experts ideas. Next, in the quantitative part, the Chi-square test was used to analyze the hypothesis and the Friedman test was used to prioritize the concepts, categories, and subcategories. The results indicate that IT governance plays an important role in creating the strategic alignment in a cloud. Moreover, two factors of security service management and the contextual and environmental factors of the cloud were identified as the important factors which help managers create value through IT investments.
Keywords: Cloud Computing; Strategic Alignment; IT Governance; Meta-Synthesis; Cloud Service Providers.
Feature Set Processing using Multi-Objective Optimization Algorithm to Improve Content-based Image Retrieval System
by B. Syam, Y. Srinivasa Rao
Abstract: We propose a framework of genetic algorithms to search for Pareto optimal solutions (i.e., non-dominated solutions) of multi-objective optimisation problems. Our approach differs from single-objective genetic algorithms in its selection procedure and elite presence strategy. The selection procedure in our genetic algorithms selects individuals for a crossover operation based on a sum of multiple objective functions. The characteristic feature of the selection procedure is that the weights attached to the multiple objective functions are not constant but randomly specified for each selection. This might most likely decry the classification accuracy and increase noise once it extracts type content type pictures. To avoid these drawbacks, a brand new technique is planned to induce retrieval performance. The implementation results show the effectiveness of projected optimisation technique in retrieving all pictures. Furthermore, the performance of the proposed technique is evaluated by comparing with the other optimised CBIR methods.
Keywords: Multi-objective optimization; Genetic Algorithms; Pareto solutions; Feature Extraction.
Aspect-level Sentiment Analysis on Goods and Services Tax (GST) Tweets with Dropout DNN
by Venkatramaphanikumar S, Venkata Krishna Kishore K, Deepak Chowdary E
Abstract: Sentiment analysis (SA) is a primary use case for natural language processing, where data scientists analyse comments on social media to get instant feedback and improvement in future product releases. In this study, SA was performed on the goods and services tax (GST), which is one of the greatest tax reforms in India. In this study, crucial statements (tweets) about GST were analysed using POS-N-gram tokenisation approach to extract word tokens for classifying sentiments or opinions. The objective of this proposed work is to improve the sentiment classifications accuracy of the review data with an optimal number of reduced terms. In this study, a novel approach improved PCA is proposed for dimensionality reduction and a dropout deep neural network classifier is proposed for sentiment classification. These methods are evaluated on the proposed dataset (Corpus-1) and two other benchmark datasets like movie reviews (Corpus-2) and SemEval 2016 (Corpus-3) datasets. Experimental results clearly evident that the proposed approach outperforms the existing methods.
Keywords: Goods and Services Tax; Natural Language Processing; Sentiment Analysis; Improved PCA; PLSA; Dropout Deep Neural Network.
Design Principles for Business Domain-Specific e-Collaboration: A Solution for Integrated e-Collaboration in Enterprise Systems Based on the Example of the Product Costing Domain
by Diana Lück, Christian Leyh, Susanne Strahringer
Abstract: In this paper, we present design principles for business domain-specific e-collaboration (BDSpeC) - a concept that focuses on integrating e-collaboration into the core processes of particular business domains and the corresponding transactional enterprise systems (ESs) supporting these core processes. These principles are based on our research results regarding collaboration support in product costing as pilot domain. In this domain, we discovered a specific lack of integrated e-collaboration to enable communication, coordination, and information exchange in direct connection to the core processes with their daily work routines and data sources. In a design science research project, we created artefacts for the product costing domain and derived design principles for a broader scope of contexts. The design principles for BDSpeC illustrate how such an integration can be achieved in various business domains with similarities to product costing. By focusing on design principles, we have abstracted and codified design knowledge that is useful for both, research and practice. In design practice, the design knowledge can be used to develop other instances as solutions to a class of problems sharing similarities with product costing. In design research, it is intended to encourage exaptation by supporting the transfer of our solution into other domains.
Keywords: Business Domain-Specific e-Collaboration; e-Collaboration Integration; Enterprise Systems; Product Costing; Product Development; Product Lifecycle Management; IS Design Principles.
A Conceptual Model for Software Ecosystem Governance
by Joyce Aline De Oliveira Marins, Carina Frota Alves, George Valença
Abstract: In a software ecosystem, organisations work collaboratively to survive market changes. To ensure the healthy growth of software ecosystems, governance is essential because it defines suitable strategies and processes to manage relationships in the software ecosystem. Software ecosystem governance is all process by which an actor creates value, coordinates relationships and defines control. Understanding the elements and relationships involved in the software ecosystem governance supports companies to discover which elements act as enabler or barrier to the health of the ecosystem. We proposed a conceptual model to govern software ecosystems. The model was built using design science research and was evaluated through an expert survey and interviews with practitioners. The model increases the theoretical body of knowledge in the field and practitioners can apply it to create governance strategies to foster the healthy evolution of the ecosystem.
Keywords: Software ecosystem; governance; conceptual model; design science.
The Effect of Country-of-Origin on the Consumer Purchase Intention Considering the Mediating Role of the Brand Equity Dimensions
by Seyyed Milad Shirvani, Negar Motamedi, Rahim Mohtaram
Abstract: The objective of the present study was to examine the effect of country-of-origin on the consumer purchase intention considering the mediating role of the dimensions of brand equity. The population of this study included buyers of home appliances in Tehran. Random sampling was used to determine the sample of the study. Infinite sample size determination formula was used to determine the sample size. 384 people were selected as the sample of the study. A researcher-made questionnaire was used for data collection; the validity of the questionnaire was confirmed by some experienced professors and experts and the reliability of that was obtained as 95.7% and confirmed by using Cronbach's alpha. PLS software and the implementation of the structural equation modelling were used for data analysis. The results showed that the country-of-origin image significantly affects the dimensions of the brand equity (brand awareness, perceived quality, brand association, and brand loyalty); moreover, the brand equity dimensions significantly affect the purchase intention.
Keywords: the country?of?origin image; brand awareness; perceived quality; brand association; brand loyalty.
Cost-Effective Privacy Preserving of Intermediate Data using Group Search Optimization Algorithm
by G. Jaikrishna, Sugumar Rajendran
Abstract: Cloud computing provides huge storage ability to clients, in order to convey their applications without any infrastructure investment. Alongside those applications, an extensive set of intermediate datasets will be created, and it is a challenging issue to protect the security of those intermediate datasets. Therefore, in this paper, we preserve only sensitive information which reduces the time and cost. For privacy preserving of the intermediate dataset, in this paper, we propose a combination of group search optimisation (GSO) and advanced encryption standard (AES). At first, the original dataset is split into an intermediate dataset and we select the corresponding node from the cloud for each intermediate dataset using GSO algorithm. After that, we separate the sensitive data using information gain. Finally, we apply the AES to encrypt the sensitive data. The performance of proposed methodology is in terms of encryption time and memory usage.
Keywords: Cloud computing; Group search optimization; advanced encryption technique standard; information gain; intermediate data and sensitive data.
Validation of Objective based ERP Value Factors Measuring Intangible Benefits-Indian Higher Education Context
by Pratima Dabholkar, Hema Date
Abstract: The purpose of this paper is to identify and validate objective based Enterprise Resource Planning (ERP) value measurement factors. This study was conducted in the context of Indian Higher Educational Institutes (HEIs). Although educational institutes have been adopting ERP systems for many years, the literature reveals that little attention has been given to research on ERP in educational institutes in general and ERP value in particular. ERP implementation is said to be successful only when it able to create value in post-implementation stage. Though ERP is able to create value in post-implementation stage, literature suggest that HEIs achieve ERP value more in terms of intangible benefits than the tangible benefits. Therefore, Identifying and measuring ERP value is more complicated in HE environment. To determine ERP success in HEIs, this study considered intangible benefits which are mapped with the objectives of ERP implementation for measuring ERP Value. The value of ERP can be assessed on different parameters. For this study ERP value factors are mapped with the objectives of the ERP implementation on six different parameters: Improved Academic Processes (IAP), Effective Integration (EI), Improved Decision Making (IDM), Maximized Effectiveness (ME), Improved Efficiency (IE) and Increased Self Efficacy (ISE). These measurement factors are confirmed with the congeneric reliability and confirmatory factors analysis. However, future studies may include tangible and intangible benefits to get more concrete results. This reliable and valid ERP value measurement factors will help higher educational institutes to measure ERP success in ERP post-implementation stage. The ERP value measurement factors can be used as a guideline to ensure a positive outcome of the ERP implementation in higher educational institutes.
Keywords: Enterprise Resource Planning; ERP; ERP Value; Indian higher educational institutes; higher educational institutes; Wave analysis; congeneric reliability; structural equation modeling.
The role of brand perception in the information search and processing behavior of mutual fund investors
by Alagirisamy Kamatchi Subbiah Sukumaran
Abstract: Investment decision efforts of the mutual fund investors could be brought down when equipped with brand information. Brand perception enabled the investors to evaluate the investment risk. The investors did not take much effort to process the fund-specific information as such information was available in the public domain. The investors sought professional and personal help for processing fund-specific information but not general-purpose information of mutual funds. The mutual fund marketers can save advertisement and promotional expenses by promoting the brand perception of the investors. The positive relationship found by the study between perceived risk and subjective knowledge suggested the availability of abundant information, as abundant information might have caused uncertainty in the minds of the investors. The regulatory agencies were suggested to frame suitable guidelines to reduce the dissemination of superfluous information to the investors.
Keywords: Brand perception; Information search and processing; Mutual fund investors; Subjective Knowledge; Perceived Purchase Risk; Purchase Decision Involvement.
A Comparative Study of Malaysian and Indonesian Students Entrepreneurial Characteristics and Career Choices Resulting from the Digital Economy
by Nadiah Abd Hamid, Florentina Kurniasari T., Hakimah Aisyah Mohamad Taib, Nor Hasnah Mad Saheh, Tengku Fairuz Tengku Embong
Abstract: The purpose of this paper is to identify the effects of digital economy on students' entrepreneurial characteristics and entrepreneurship as career choices, comparatively between Malaysia and Indonesia. A sample of university students was selected in each country. Confirmatory factor analysis (CFA), the foundation of structural equation modelling (SEM) has been used. The results evidenced that digital economy in both countries significantly influencing the entrepreneurial characteristics of the students. All four dimensions of digital economy in Indonesia significantly affecting the students' entrepreneurial traits, while only two dimensions are significant in Malaysia, i.e., social and cultural environment dimension and the consumer and business adoption dimension. It also discovered that the university students in Malaysia are reluctant to become entrepreneurs in future contrarily with Indonesian university students. Therefore, Malaysian and Indonesian governments need to keep on supporting the development of digital economy to encourage students to choose entrepreneurship as their careers in future.
Keywords: Career Choices; Digital Economy; Entrepreneurial Characteristics; Indonesia; Malaysia.
SHOPPING ON SOCIAL NETWORKS: IS THIS THE STOREFRONT OF THE FUTURE?
by Melanie Wiese
Abstract: Consumers are moving towards social networking technologies as an alternative channel for shopping. This research extended the technology acceptance model (TAM) to investigate the factors that predict Facebook users' behavioural intentions towards the adoption of Facebook shopping, as well as the moderating role of trust. A convenience sample of 384 South African Facebook users completed the online survey. Confirmatory factor analysis (CFA) and structural equation modelling (SEM) were used to test the hypotheses. The results revealed that perceived enjoyment and perceived usefulness were the most important predictors of shopping on Facebook, while privacy risk and social norms did not significantly influence intent to shop. Although the moderating role of trust could not be confirmed it seems as if consumers are more positive about shopping on Facebook than general online shopping. The implications offered will assist in the formulation of effective marketing strategies to drive the up-take of shopping on Facebook.
Keywords: Social networks; Facebook; S-commerce; F-commerce; online shopping; Technology Acceptance Model (TAM).
A Survey on Adoption Factors of Cloud-based Enterprise Systems and Their Differences in Iranian SMEs
by Neda Abdolvand, Saeedeh Rajaee Harandi, Darya Tarani
Abstract: This paper documents the difference between adoption factors in cloud-based enterprise systems (ES) in small and medium organisations [small and medium-sized enterprises (SMEs)] in Iran. These factors include enterprise resource planning (ERP), supply chain management (SCM), and customer relationship management (CRM). To assess the determinants that influence the adoption of cloud-based ES, a research model based on the innovation characteristics from the diffusion of innovation (DOI) theory and the technology-organisation-environment (TOE) framework was developed. The results of the field study among 200 Iranian SMEs revealed that while top management support has the greatest impact on cloud SCM, relative advantage has the most impact on cloud CRM adoption. Moreover, technological readiness was identified as the most effective factor in the adoption of cloud ERP among SMEs.
Keywords: Cloud Computing; Technology Adoption Model of TOE and DOI; Enterprise Resource Planning; Supply Chain Management; Customer Relationship Management.
Automatic topic labelling for text document using Ontology of graph-based concepts and dependency graph
by Phu Pham, Phuc Do, Chien D.C. Ta
Abstract: Topic labelling is an important task of text mining. It supports to assign proper topic labels to the text documents. In this paper, we present a novel approach of using graph-based concept matching approach in solving automatic topic labelling task. Our proposed model demonstrates that the quality of automatic topic labelling task for text documents can be improved, in comparison with traditional keyword-based concept matching approach. In this paper, we propose a novel approach of automatic ontology-driven topic labelling. Our proposed model is considered as a semi-supervised approach. It uses existed ontologies as the pre-knowledge base for topic identification in text documents. We performed the experiments on the real-world ACMs documents to show the effectiveness of our proposed model in solving topic labelling task. The experimental results on real-world and standard datasets demonstrate that our proposed model can leverage the output accuracy of topic labelling task in text documents.
Keywords: automatic topic labelling; ontology-driven topic labelling; dependency graph parsing; graph-based concept; frequent subgraph mining.
Impact of Enterprise Architecture Management (EAM) on Business Benefits through Information Technology Benefits in Companies in Indonesia
by Qorib Munajat, Nita Arryani Sari, Puspa Sandhyaduhita, Achmad Nizar Hidayanto, Kongkiti Phusavat
Abstract: This research aims to study the relationship between components of enterprise architecture management (EAM) and its impact towards IT benefits and business benefits. This research was conducted using quantitative approach involving 92 samples of state-owned enterprises and private enterprises. The data were processed using partial least square (PLS). The results showed that the EAM was proven to have positive correlations on the IT benefits especially towards IT efficiency and IT-business strategic alignment. Subsequently, IT benefits were proven to have positive correlations towards business benefits especially towards customer closeness and product leadership. It was also found that EAM has positive correlations on business benefits through IT benefits, especially towards operational excellence and strategic intelligence. Thus, it can be concluded that EAM can improve business performance through improved IT performance.
Keywords: Enterprise Architecture (EA); Enterprise Architecture Management (EAM); EA Benefit; Business Benefit; Information Technology (IT) Benefit.
Indicators in Process Improvement for Software Maintenance: A Systematic Review of the Literature
by Victor José Aguiar Teixeira De Melo França, Gislaine Camila Lapasini Leal, Renato Balancieri, Ana Rouiller
Abstract: The requirements of the software market make the organisations need mature processes capable of achieving quality and productivity demands, especially in organisations that deal with maintenance and evolution software. Several models and norms have emerged, which grouped recommendations for software process improvement, however, despite the effort of the technical-scientific community, there are still gaps. One of them is establishing guidelines for the measurement process in software maintenance companies. Based on a systematic review of the literature, this paper aims at identifying indicators, benefits and difficulties from the primary studies in the period of 20072017. 30 relevant articles were selected that addressed process improvement by focusing on measurement in maintenance organisations. As a result, a high measurement potential was seen to contribute to a better understanding of software maintenance, which may motivate necessary changes in processes and methods in order to assist and stimulate increasingly robust processes.
Keywords: Indicators; Software maintenance; Systematic review; Software Process Improvement.
Influence of Knowledge Management Enablers in Manufacturing Organizations: A Multi- Criteria Decision Making in Indian Context
by HITESHKUMAR SHAH, Ravi Kant
Abstract: This paper intends to examine the impact of knowledge management enablers (KMEs) for enhancing the organisational performance of Indian manufacturing organisations using integrated fuzzy analytic hierarchy process (AHP) and fuzzy multi-objective optimisation by the ratio analysis (MOORA)-based framework. The fuzzy AHP is used to obtain the weights of the KMEs, and fuzzy MOORA is used to rank the manufacturing organisations practicing knowledge management (KM). The applicability of the proposed framework approach is established with empirical case study of four Indian bearing manufacturing organisations. The finding suggests that better implementation of KMEs results into the improved KM performance which results into enhanced organisational performance. This study reveals that how KM practices in the organisation influence their organisational performance.
Keywords: AHP; Knowledge Management; KM; KMEs; MOORA.
The influence of text classification on facebook with AISAS method
by PORNPIMON KACHAMAS, Achara Chandrachai, Dr.Sukree Sinthupinyo
Abstract: Social media marketing has never been closely tied like it is now. Online marketing managers thus need to actively analyse and understand this fact beyond sentiments of the visitors of their webs. The objective is to comprehend emotions, feelings towards their threads and participation. This research aims to study the text classification that is used to analyse Dentsus AISAS patterns of posts in order to understand clients thinking. The study applies na
Keywords: Machine Learning; Naive-Bayes Classification; Social media; AISAS; Social Media Analytics.
Does the benevolence value matter when social media burnout strikes?
by Bo Han, Shih Yung Chou, Tree Chang
Abstract: Social media burnout has become a new issue to many users. This study introduces a new model to test if a users benevolence value can have a mediation effect when he/she experiences social media burnout. We recruited Facebook users from a student population at a US university to participate in a survey-based study. 290 valid and complete responses were received. The data analysis result shows that benevolence has a strong negative effect on a users social media burnout perceptions such as ambivalence and emotional exhaustion, and can significantly positively influence the users social media continuance. Our study is the first of its kind that integrates benevolence value into a users post-adoption experience research. The newly proposed model can help social media research community to gain more insights on the roles a users value plays in his/her perceptions and intentions in the post-adoption stage.
Keywords: social media burnout; value; benevolence; ambivalence; emotional exhaustion; depersonalization; conflict; Facebook.
Exploring the Change of Attitude among Healthcare Professionals toward Adopting a National Health Information System: The Case of Jordan
by Yazan Alnsour, Mohammad Alsharo, Ahmad Al-Aiad
Abstract: National health information systems (HISs) are spreading globally at a rapid pace. Therefore, it is important to understand the socio-technical factors that influence their adoption by healthcare professionals (HCPs). This study explores the change in attitudes of HCPs toward adopting a national HIS in Jordan. Data were collected from public hospitals and healthcare centres using surveys in two phases over two years and empirically tested using partial least squares (PLS). The first phase results showed that HCPs had positive attitudes toward the national HIS and perceived it to be useful but difficult to use. In the second phase, results showed that users attitudes positively changed regarding both ease of use and usefulness. This research contributes to both theory and practice by investigating how HCPs attitudes can be changed regarding adopting a national HIS over time. This provides insights for healthcare providers to better understand and improve HISs adoption among HCPs.
Keywords: national health information systems; health information systems adoption; healthcare professionals attitude; attitude change; technology acceptance model.
The determinants of electronic commerce in saving and credit cooperative societies: An empirical study from Kenya
by Evanson Karanja, Richard Odawa
Abstract: The study investigates determinants of electronic commerce within the context of Kenyan SACCOs. The study was conducted in Nairobi County and all the licensed SACCOs under (SASRA) Sacco Society Regulatory Authority in Kenya were included in the study. Key findings indicated that 76% of the companies can be classified as adopters. The implication here is that nearly three out of every four SACCOs have adopted at least one form of e-commerce to support their business operations. The key factors identified in the study to influence e-commerce adoption in the participating SACCOs were technology cost (88%), available budget (41%), and senior management support that were captured from about 25% of the respondents. From the study, two critical barriers to effective utilisation of e-commerce for SACCOs in their business operations are the conservative organisation cultures that can be summed up as resistant to change and lack of peerage on the industry standards.
Keywords: Electronic Commerce; Technology Adoption; Business Process; Diffusion of Innovation Theory.
Applying Data Mining Algorithms to Encourage Mental Health Disclosure in the Workplace
by Gonen Singer, Maya Golan
Abstract: The importance of sharing mental health issues with supervisors is well established. However, the decision to disclose such intimate information is complex and is influenced by many intrinsic and extrinsic variables. The purpose of this study is to use machine-learning algorithms to develop a tool that supervisors may use to enhance disclosure of mental health issues among their employees. Several interpretable machine-learning algorithms are established based on a Kaggle dataset of more than 1,400 participants that measures attitudes towards mental health and prevalence of mental health disorders in the tech workplace. The C4.5 algorithm is chosen as the best classifier of willingness to disclose a mental health disorder to supervisors, based on a variety of classification performance measures. Tailored intervention programs are applied and are shown to have the potential to increase the probability of disclosure by between 20% and 60%.
Keywords: Data Mining; Decision tree; Classification; Mental illness; Mental health disclosure.
IoT for Dynamic Information Systems: Concepts and Principles
by Khaled Sabry
Abstract: Adopting the internet of things (IoT) model for dynamic information systems (DIS) requires careful and comprehensive understanding of the technology, opportunities and challenges that may be encountered. IoT can be sought as an enabler and promoter for interactive and dynamic services for businesses. This paper explores and discusses IoT and its relevance to DIS. It explores such technology as a pivotal component of the next generation DIS that requires full understanding, looking at possible opportunities and challenges that may be encountered. The paper views IoT in the larger context of DIS through proposing an IoT-DIS conceptual model, so that influencing factors can better be recognised. It concludes with a reflection on IoT future directions and research.
Keywords: IoT; information systems; dynamic information systems; global system thinking; dynamic information systems ecosystem; next generation information systems; IoT dynamic model of computing.
AN EMPIRICAL ANALYSIS INVESTIGATING THE ADOPTION OF E-COMMERCE IN LIBYAN SMALL-MEDIUM ENTERPRISES
by Mansaf M. Elmansori, HAMED F. HAMED OMAR
Abstract: The research aim is to investigate behavioural intention of customers for e-commerce usage provided by the SMEs. The main challenge of the small and medium enterprises is to increase retention of customers by increasing their technology usage. A number performance problem in e-commerce stemmed customers choice of websites in meeting their transaction requirements. This becomes necessary in this study in order to improve business transaction via-commerce website which is fast, convenient and cheap. Users perception explains the intention to transact business online. This study followed the quantitative method and the sample frame contained of 296 questionnaires and the data was analysed using SEM. The finding of the study indicated that by allowing people to transact business online and make payment requiring personal information and account information of customers. This contribution of the current piece of research is a development of a new framework of e-commerce usage involving the factors related to trustworthiness and empirically validates by self-administered survey questionnaire amongst customers in Libya having experience of e-commerce usage provided by the enterprises.
Keywords: Behavioral Intention; SMEs; SEM; TAM; E-commerce; Libya.
What is inside the mind of teenagers on Instagram?
by Nur Rakhmawati, Irmasari Hafidz, Tetha Valianta, Azmi Pratama, Doddy Ridwandono, Lolanda Hamim Annisa
Abstract: Instagram is one of the most used social media with 45 million active users on each month. In Indonesia, the highest number of internet users is between the age of 1334 years old. It shows that most of the new internet users are young people. In this research, we create a topic model for the Instagram caption of teenager users in Surabaya, Indonesia, using latent dirichlet allocation (LDA) method. By using pen and paper questionnaire, we collected total number of Instagram 494 valid accounts with 4,664 captions. The data were collected from January 2014 to June 2017. The process of modelling using LDA was performed by experimenting with a set of number of topics: 2, 3, 4 and 5. The two topics were selected because it has a small value of perplexity, which indicates that the model has a good level of conformity. The two topics represents two categories: school and relationship. It was found that the topic model was dominated by the relationship category.
Keywords: Instagram; Captions; Topic Model; Teenager; Latent Dirichlet Allocation.
Examining Mobile Marketing Technology Adoption from an Evolutionary Process Perspective: The Study of UK Service SMEs
by Sunday Chinedu Eze, Vera C. Chinedu-Eze, Tony Nwanji, Adenike O. Bello
Abstract: This paper attempts to examine mobile marketing technology adoption research and practice in small and medium enterprises (SMEs) from an evolutionary and dynamic process perspective using the concept of dynamic capabilities (CDCs). This study adopted a qualitative method to explore how small services oriented SMEs regularly engage in mobile marketing technology adoption. Two stages of interviews (unstructured and semi-structured) were carried out with a total of 26 interviewees. Data collected from the interviews were analysed using a thematic approach to understand the evolutionary and dynamic nature of the mobile marketing technology adoption process, entities involved and how they interact. The findings revealed the reiterative and the evolutionary nature of mobile marketing technology adoption and the continuous interactions and negotiations of numerous entities in the process, underpinned by the concept of dynamic capabilities and validated by the empirical data. The study developed a framework depicting the process of mobile marketing technology adoption, significant activities and entities involved in the process. The study advances mobile marketing technology adoption research and practice by developing a framework that describes the interactive, dynamic and evolutionary nature of mobile marketing technology adoption, entities associated with the framework and their interactions in the process.
Keywords: Mobile marketing; technology adoption; Dynamic Capabilities; SMEs; qualitative approach.
Mobile word of mouth (mWOM) in mobile messaging applications: An exploration of its antecedents and consequences
by Ismail Erkan, Fulya Acikgoz, Abdulaziz Elwalda, Mushfiqur Rahman, Nisa Akin
Abstract: The emergence of mobile communication has resulted in many messaging applications (e.g., WhatsApp, Line, Telegram, Viber). Such applications enable consumers to make brand related conversations; this process being called mobile word of mouth (m-WOM). Yet, both consumers and mobile message application providers are not fully conversant with the antecedents and consequences of mobile word of mouth (m-WOM). Therefore, the purpose of this research is to explore both the antecedents and consequences of mobile word of mouth (m-WOM) in mobile messaging applications. With this aim, we have developed a theoretical framework of m-WOM by applying information credibility, trust, and attitude, which were considered to be the most robust components, to understand consumer behaviours. In this study, an online survey of 385 respondents was conducted by using structural equation modelling (SEM). The theoretical model developed in this study enables a deeper understanding of m-WOM for future research purposes.
Keywords: mobile word of mouth (mWOM); messaging applications; WhatsApp; mobile purchase intention.
Adoption of mobile fitness and dietary apps in India: an empirical study
by Brinda Sampat, Bala Prabhakar, Nilay Yajnik, Ashu Sharma
Abstract: The use of mobile health (m-health) applications (apps) to provide healthcare services is on the rise in developing countries. However, their adoption in India is in its infancy. There is a rise in non-communicable diseases in India due to urbanisation, sedentary lifestyles and changing diets. Mobile fitness and dietary (MF&D) apps provide various features that can help promote healthy living. The purpose of this paper is to develop and empirically test a conceptual model by extending technology acceptance model (TAM) to establish how factors such as trust, social influence and perceived behavioural control influence the adoption of MF&D apps. A conceptual model with the hypothesised causal paths among the constructs have been empirically validated with the help of structural equation modelling (SEM) using AMOS with a sample of 234 MF&D app users. Results reveal perceived usefulness and trust are the most important factors that lead to adoption of MF&D apps.
Keywords: mHealth; mobile fitness dietary apps; Technology Acceptance Model; TAM; Trust; Social Influence; Perceived Behavioural Control; developing countries; India.
Examining the Influence of Antecedents of Continuous Intention to Use an Informational App: The Role of Perceived Usefulness and Perceived Ease of Use
by T. Sai Vijay, Priyanka Gupta, Chandan Parsad, Sanjeeve Prashar
Abstract: The 4G revolution has enhanced smartphone penetration by 21.3%. Subsequently, the rapid expansion of different categories of mobile applications has changed the way consumers think, exchange information, shop, play games, and connect socially. This study, based on information mobile applications (apps), aims to predict and identify the specific antecedents that influence consumers to use an information app on a continuous basis, with the mediating effects of perceived usefulness and ease of use. Using structural equation modelling, causal analysis found relationships between perceived usefulness and interactivity and between perceived ease of use and information quality, system quality, and interactivity. Moreover, both mediating variables lead to continuous intention to use the app. The paper concludes with practical implications for m-commerce users.
Keywords: Mobile application; Perceived usefulness; Perceived ease of use; Information quality; System quality; Continuous intention to use.
A survey of XBRL adoption impact on financial software development processes and software quality
by Marcelo Cerqueira, Paulo Caetano
Abstract: XBRL technology is currently used by several government institutions and companies around the world. The literature includes many papers related to the uses and benefits of XBRL in the areas of finance and accounting. However, there is a research gap on its benefits to software engineering. This paper seeks to identify the XBRL impacts on financial software development processes and software quality factors. Identifying such impacts may help software development companies better understand the advantages related to XBRL use and increase the adoption in other companies. This, in turn, may contribute to software quality improvement, facilitating the implementation of better financial software development frameworks in organisations.
Keywords: Software Process; Software Quality Factors; Software Engineering; XBRL; Multidimensional Data Metamodel.
Recent themes in social media research: A systematic review
by RAHUL BODHI, Tripti Singh, Subiya Rahman
Abstract: Social media is emerging as an essential media for communication both at the personal and organisational level. The present paper applies a systematic literature review methodology for identification of relevant articles in the area of social media and generational cohorts. The objective is to undertake a thematic review, recognise issues related to social media to identify research gaps and thus draft an agenda for future studies. The main concentration of research has been related to utilities and functions of social media, personal, workplace, and social aspects, and usage pattern of social media by generational cohorts. It establishes that social media is recognised not only because of its advantages but also certain negative aspects which have an effect on both physical and mental well-being of individuals. Thus, the main area of concern is to formulate as well as implement appropriate policies and programs for its effectiveness. Suggestions are based on reviewed articles for future studies.
Keywords: Generation; Social Networking; Research agenda; Thematic Analysis.
Towards a Trustworthy RFID System
by Yanjun Zuo
Abstract: This paper presents a comprehensive, layered framework for a trustworthy radio frequency identification (RFID) system, which has been applied in various fields such as supply chain management, inventory tracking, healthcare, transportation and logistics, manufacturing, library, agriculture, payment and asset management. RFID provides real-time data and analytics, which allow organisations to have more accurate information at all time for improved decision making. Our proposed framework addresses technical challenges of building trustworthy RFID systems given the resource-constricted RFID components as well as high mobility and sensitivity of RFID devices. The framework offers the following merits: 1) it can be used in vastly distributed environment to support large scope RFID-enabled business processes; 2) it is appropriate for resource-restricted RFID system components; 3) it provides users with the most trustworthy information about RFID tagged items despite malicious attacks; 4) it can tolerate attacks at RFID system level and higher-application level.
Keywords: RFID; trustworthy; security; business activity; threat.
An Exploratory Study of the Information Security Awareness of Business School Students in UAE
by Saadat Alhashmi, Mohamed Salem M.Bayou
Abstract: The objective of this paper is to understand the status of information security awareness among business school students in the Middle East. Based on the literature review, the authors developed a questionnaire to understand the attitude of business college students about information security. Universities and companies, especially in the Middle East, can identify the awareness level of students. This is an ongoing work and needs a better understanding of how future-leaders of business look at this serious issue. Besides universities, firms must, therefore, manage these concerns and opportunities promptly. Overall, the empirical results show that the impact of technology and awareness coefficients is insignificant while students are comfortable answering technology and fraud related issues.
Keywords: Fraud; Technology Use; Training; Impact of Technology.
Profit Maximization in Long-Term e-Service Agreements
by Zaki Malik, Hussain Aljafer, Khayyam Hashmi, M. Mustafa Rafique
Abstract: Due to the wide spread use of web-based services, there is competition among service providers to attract the highest number of users either by the competitive pricing of the services, by performance of the services, or both. In this paper, we address this matter by proposing a web service pricing model for the service providers to help generate the highest profit. We dynamically alter the price, based on the market equilibrium techniques to achieve the maximum resource distribution. Our approach also tackles the problem of resources that have low or no demand by the users, by generating bundles such that these resources can be distributed, and generate more profit. Finally, the approach utilises an automated negotiation mechanism for service replacement where we may have an offer from a new user resulting in more profit, but there are not enough resources.
Keywords: Web service; long-term profit; service-level agreement; information system.
Modelling and Predicting Students Academic Performance Using Classification Data Mining Techniques
by Raza Hasan, Sellappan Palaniappan, Salman Mahmood, Kamal Uddin Sarker, Ali Abbas
Abstract: This study focuses on student success analysis and prediction modelling improving the quality in terms of teaching, delivery and satisfaction. Data mining techniques are used to analysis and prediction the performance of the student in the specific module or within the timeline of the studies. Supervised learning approach has been adopted with different classification models were tested against the dataset distributed over different levels of study and specialisations. Student grades and online activity on the learning management system were considered as the factors to construct the classifying model. In this study, different algorithms were tested for efficiency and accuracy with the provided dataset for better prediction using WEKA. Random forest was found better and accurate in predicting the students academic performance. Employing these techniques, it will lead to student preservation and strive for better student satisfaction.
Keywords: Student Prediction; Learning Management System; WEKA; Data Mining; Student Performance; Decision Tree; Virtual Learning Environment; Classification.
Ontological Practice for Software Quality Control
by Kamal Uddin Sarker, Aziz Deraman, Raza Hasan
Abstract: Recent statistical report on software project has been reflected the significant software project failure rate is existed till now. Failure can be partial, complete or compromising in functional or non-functional factors. The EBSPM public software project data repository has been analysed to reflect the relationship among cost, time, effective hours and functional points to identify eternal influencing factors. The literature review has identified the root causes of failure. Software quality control is a formal approach to make the project successful but until now ambiguous with the integration of quality factors. Our proposed ontology reduces the complexity of project management. This research has established the way of developing an ontology by including maximum quality factors. The way of collaborative working is included in the ontology to ensure formal, transparent, accountable and responsible manner. The ontology model is developed with descriptive logic and diagrams. Theoretical evaluation has been done at the end of the research based on the criteria of standardisation organisations.
Keywords: Software project failure rate; understanding project failure; project failure reasons; ontology; software quality control; descriptive logic.
Factors Influencing Electronic Banking Continuance Usage Intention in Developing Economies: A Study of Nigeria
by Fowokemi Ogedengbe, Yurita Yakimin Abdul Talib
Abstract: The purpose of this study is to examine the factors that determine bank customers satisfaction and continuance usage intention of electronic banking (e-banking). Using the expectation-confirmation model (ECM), the study developed a theoretical framework to explain how bank customers develop their satisfaction and intention to continue use the e-banking. To test the proposed model, the authors test its validity on data collected from Nigerian students in a public University. The result indicates that confirmation of expectation influences e-banking users satisfaction. Perceived privacy and satisfaction are factors that influence users continuance usage behaviour while perceived security and perceived privacy do not have an impact on users satisfaction. Moreover, the study finds out that perceived security does not have an influence on continuance usage behaviour of e-banking users.
Keywords: Nigeria; Continuance Usage; E-banking; Perceived Security; Perceived Privacy; Confirmation; Satisfaction.
Factors Propelling the Adoption of Internet Banking: The Role of E-Customer Service, Website Design, Brand Image and Customer Satisfaction
by SAMAR RAHI, Mazuri ABD.GHANI, Abdul Hafaz Ngah
Abstract: In recent years, technology adoption has been seen as a critical and distinct topic in e-commerce research. Looking at the challenges in technology adoption faced by banking sector of Pakistan, this study examined the effect of website design, customer service and brand image on customer's intention to adopt internet banking. Additionally, customer satisfaction is integrated in theoretical framework as a mediating variable. The data for this study was collected from internet banking users. Structural equation modelling (SEM) has employed to evaluate the hypothesised relationships. The results of this study revealed that the adoption of internet banking in Pakistan is motivated by a set of specific factors (i.e., website design, e-customer service, customer satisfaction and brand image). Practically, these results will help policy makers to understand critical factors that influence on customer's intention to adopt internet banking in Pakistan. Finally, limitations and future research directions have been discussed.
Keywords: Brand Image; Consumer Satisfaction; Mediation; E-Customer Service; Internet Banking; Website Design.
A Study of Resource Allocation Techniques In Cloud Computing
by Chitharanjan K., Radha SenthilKumar
Abstract: The process of allocation and reallocation of resources is the key to accommodating unpredictable demands and improving the return on investment from the infrastructure supporting the cloud. A cloud environment consists of multiple customers requesting for resources in a dynamic environment with possible constraints. In cloud computing allocation of resources for every client with high gain and the profit is the major task for the cloud administrator. Cloud administrator has the problem for allocating the same resources with many users. So while allocating the resources prioritisation of tasks is very important. The literature concerns to seven scheduling algorithms and six allocation techniques as well as the parameter measures for effectiveness of scheduling. Methodical analysis of this research helps the researchers to find the importance of a scheduling algorithm for particular allocation technique for increasing profit and return on investment in cloud.
Keywords: Cloud computing; resource allocation; task scheduling; Information Technology (IT); Public Cloud; Private Cloud.
Experimental Results on Change Data Capture Methods Implementation in Different Data Structures to Support Real Time Data Warehouse
by Harry Chandra
Abstract: The need for rapid decision making in the organisation, causing the importance of developing a real-time data warehouse system. In addition, what also needs to be considered is how to make the extract, transform, load (ETL) processes carried out, would not interfere the performance of the operational database being used. One of the methods that can be used is change data capture. Nowadays, the data sources that companies used for many operations are usually coming from different sources. The proposed research will identified which one is the best change data capture method from three types of methods in three database application for each type of data structure to be tested, that supports the RTDW system making process. From the results of research conducted it is proved that the best change data capture method is different for each type of data source tested in the same environment.
Keywords: Real Time Data Warehouse; ETL; Change Data Capture; Data Structures Model; log-based; timestamp on file; timestamp on rows; trigger; replication.
Is organisational culture a hurdle in online knowledge sharing? : A conceptual view
by Imran Khan
Abstract: In the knowledge economy, sharing the key resource-knowledge is a key challenge. A virtual community (VC), which is a socio-technological system, is considered as a suitable tool to meet the challenge. However, many issues regarding sharing knowledge through VCs need to be addressed. One of such issues is organisational culture. The paper aims to conceptualise the relationship between knowledge sharing and organisational culture in an online environment like VCs. The research uses the organisational cultural model developed by Khan and Usoro. The model consists of support, coordination, innovation and rules orientations. The research hypothesised that support, coordination and innovation orientations have positive relationships with knowledge sharing in online environments while rules orientation has a negative relationship. The research is a conceptual study and based on literature study. In future studies, data will be collected from VCs to test the model.
Keywords: Virtual communities; Knowledge sharing; organisational culture; knowledge management; online trust and knowledge sharing systems.
Investigating the Role of Online Initial Trust in Explaining the Adoption Intention of Internet Banking Services
by Omar Hujran, Ali Aljaafreh, Ahmed Al-Ani, Mutaz Al-Debei, Nidal Al-Dmour
Abstract: Online initial trust is one of the impediments that affect the adoption of new information technology (IT) innovations; therefore, improving customer's initial trust is likely to improve the adoption of Internet banking services (IBS). This study aims identify the factors that affect customer's initial trust for the adoption of internet banking services in developing countries. Data from a survey of 540 respondents were collected to empirically test the proposed research model. The results of this study show that organisational structural assurance, banks' reputation, perceived relative advantages, and uncertainty avoidance are the most important determinants of customers' initial trust in IBS in developing countries. In addition, the results indicate that initial trust in IBS positively influences intention to use IBS. The obtained results underpin the claim that national culture has a significant role in forming customers' initial trust in IBS, particularly in developing countries' context.
Keywords: Initial trust; Internet banking; National culture; Developing countries; and Intention to use.
Grounding a joint perspective around tensions in talent literature
by Elaheh Kimia, Sayyed Mohsen Allameh
Abstract: This article determines a common perspective for talent tensions by insisting talented individuals viewpoints on how to be treated in the talent management system (TMS). Thus, multi-sources qualitative data through Glaserian approach of grounded theory (GT) are employed for study in an Iranian context. Along purposive and theoretical sampling, semi-structured interviews are held among professors, managers, and talented employees. Through substantive and theoretical coding in MaxQDA12, the emerged GT forms around employability quest regarding transformation of self in
Keywords: self-concept; talent; protean career architect; social-worth; job improvement; identity-self; Glaserian analysis.
WAREHOUSE OPTIMIZATION USING DEMAND DATA ANALYTICS
by P. Raghuram, Abhijeet Singh
Abstract: Pickup and delivery schedules in a warehouse depend on factors like order frequency, pick locations, manpower and layout of the warehouse. Warehouse data regarding demand, stock keeping units, layout and daily operations are collected. Data analytics can be used to process the demand data of the warehouse to find out SKU frequency, pick location, and daily demand. In this paper, the layout of an electronic warehouse handling a daily transaction of more than 10 million orders and anticipated expansion is analysed. The layout and pick locations are modified resulting in footprint optimisation and responsiveness. Modification of rack arrangements, redesign of the forward area by changing conveyors in the forward area from a series to a parallel layout have reduced the travel distance by 79% and the workforce is reduced by 73%. The demand data can thus be analysed periodically leading to reduced lead times and reduced costs.
Keywords: warehouse optimization; demand data analytics; footprint optimization; layout modification; forward area; cost reduction.
Human Resource allocation in projects: A systematic mapping Study
by Eduardo Kieling, Felipe Rodrigues, Jorge Luis Victoria Barbosa, Alexsandro Filippetto
Abstract: The effective use of human resource and time management in projects can bring huge benefits to the companies' performance. Based on this point of view, a systematic mapping study was performed about research papers related to human allocation in projects. The purpose of this paper was to understand the used techniques to allocate human resources in projects and show gaps for further works. After performing the researches, an initial set of 7,894 articles was obtained. The application of selection criteria allowed the choice of 27 articles. These works were classified considering their relevance and contribution to the resource allocation area. Among the articles selected, two gaps were noticed: companies cannot change their strategic objectives once the project is started; the memory of previous allocations could not be used for future allocations. The results of this study are expected to help project managers improve their human resource allocations.
Keywords: Project management. Human resource allocation. Mapping study. Human Resource Recommendation. Strategic Objectives. Recommendation Techniques.
The Effect of Strategic Learning for Human Resources on Dynamic Capabilities of Airlines Companies in Kuwait
by Sulieman Al-hawary
Abstract: The aim of this study was to explore the impact of strategic learning on the dynamic capabilities of human resources in airline companies in Kuwait. The study sample consisted of all managers working at different levels in these airline companies. To collect the data, a questionnaire-based survey was used and the model was empirically tested using 110 responses from the airline companies in Kuwait and applying multiple regression tests using SPSS software. It was found that strategic learning had a significant impact on the dynamic capabilities of the human resources workforce in airline companies in Kuwait with regards to the four dimensions studied. Based on the study results, the researchers recommended that managers and decision makers in the airline industry in Kuwait should have the ability through various strategies to seize opportunities from companies that show great importance within the market because of their ability to increase the market share which was in turn reflected by an enhancement of their competitive position.
Keywords: Strategic Learning; Human Resources; Dynamic Capabilities; Airlines Companies; Kuwait.
Information Culture Effect on E-Commerce Adoption in Small and Medium Enterprises: A Structural Equation Modeling Approach
by Mohammed A. Al-Sharafi, Fadi A.T. Herzallah, Qasim Alajmi, Muriati Mukhtar, Ruzaini Abdullah, Derar Eleyan
Abstract: For several years, great effort has been devoted to the study of e-commerce adoption. However, studies on the effect of information culture as internal organisational factors on e-commerce adoption are still lacking. Therefore, the aim of this study is to propose a model to examine the information culture factors affecting e-commerce adoption. To achieve this, the study used a survey that administered to 250 managers of small and medium-sized enterprise (SMEs) in Palestine. The partial least squares structural equation modelling (PLS-SEM) with the help of the SmartPLS 3.0 software was employed to validate the developed model and hypotheses. The empirical results revealed that information control and information integrity were significant factors in predicting e-commerce adoption. However, information formality and information proactiveness failed to predict e-commerce adoption. The factors presented in this study can be adopted by SMEs in assessing and forecasting the success of e-commerce adoption.
Keywords: E-Commerce; Information Culture; E-Commerce Adoption; Small and Medium Enterprises; Structural Equation Modeling.
Implementing Enterprise Resource Planning in SMEs: The consultants perspective
by Nataa Rup?i?
Abstract: The paper provides examination of the implementation of the enterprise resource planning system (ERP) in small and medium-sized companies (SMEs) in developing countries from the consultants perspective based on the designed conceptual model. The proposed model tries to integrate the human resource dimension with organisational development perspective within the project-based change management process. Implementation of ERP systems is considered both from the process perspective and from the organisational learning and knowledge management perspective. ERP implementation and outcomes in SMEs were studied by employing the explorative approach. Research findings contribute to the body of knowledge regarding ERP implementation in terms of the suggested implementation framework supported and verified by insights from the experienced international consultants. Research findings could be relevant for managerial decision-making regarding ERP implementation due to provided guidelines for each phase of the process.
Keywords: business process reengineering; consultants perspective; Enterprise Resource Planning (EPR); ERP implementation; ERP outcomes; organizational learning; small and medium sized enterprises (SMEs).
The Role of Internal Marketing Orientation and Organisational Citizenship Behaviour on Performance: Testing the Moderating Role of Business Intelligence
by Reza Rostamzadeh, Ali Sadeghzadeh
Abstract: The purpose of this study is to investigate the effect of internal marketing orientation and organisational citizenship behaviour (OCB) on organisational performance considering the moderating role of business intelligence. The present study is a descriptive-correlation type and applied in the nature. The library-field and questionnaire used for data gathering. According to the research goal and the subject of the research, this research includes a sample of managers and staff of a large construction company. In this research, the structural equation modelling (SEM) is used to evaluate the causal model and verify the reliability and validity of the measurement model. The proposed model and the data obtained from the questionnaires analysed using the Smart PLS software. Finally, the results showed that the orientation to internal marketing and organisational citizenship behaviour significantly affect the performance of the company, and also, the business intelligence moderates the relationship between the internal marketing and organisational citizenship behaviour regarding to the organisational performance.
Keywords: Business intelligence; organizational citizenship behavior; internal marketing; organizational performance and construction Company.
Analyzing the factors that affect the adoption of payments banks services in India: An Analytic Hierarchy Process (AHP) approach
by Kriti Priya Gupta, Rishi Manrai, Utkarsh Goel
Abstract: Mobile financial services (MFS) provide added convenience to existing bank customers in developed markets, and act as a vehicle to achieve financial inclusion in developing countries. The Government of India launched a new MFS, i.e., payments banks (PB) with an objective of increasing the penetration level of banking services in the country. The purpose of the current study is to identify the most significant factors which influence the Indian customers to adopt PBS. The paper by carrying out literature review first identifies the factors which effect the customers adoption of PBS and then using analytic hierarchy process (AHP) tries to prioritise them based on their relative importance. AHP was applied on the data and the results obtained reveal that perceived benefits are of utmost importance for the adoption of payments banks services. Moreover, monetary benefits;, time saving; trust in service provider, and financial risk, are the topmost four sub-factors for the enabling effective adoption of PBS.
Keywords: Mobile financial services; Payments Bank; Technology Adoption; Analytic Hierarchy Process; India.
An empirical investigation of the determinants of student success in online ERP courses
by Yu Zhao, Kakoli Bandyopadhyay, Soumava Bandyopadhyay
Abstract: The purpose of this research is to understand the factors that impact students perceived learning outcomes, satisfaction, and the intention to continue using an online learning platform in enterprise resource planning (ERP)-enabled online courses. The factors considered are online learning platform quality, ERP system quality, information quality, instructor support, and student motivation. We selected SAP as the ERP system that students learn online via any online learning platform, such as Blackboard. We surveyed business students from four mid-sized state universities in the USA. Partial least squares structural equation modelling (PLS-SEM) was used to empirically test the model. The findings indicated that all factors, except instructor support, were significant determinants of learning outcomes. All factors, except information quality, were significant determinants of student satisfaction. Online learning platform quality and SAP quality were significant determinants of students intention to continue to take online SAP-enabled courses using the current learning platform.
Keywords: enterprise resource planning; SAP; online learning; learning outcomes; satisfaction; continued use intention.
The Impact of Knowledge Creation on Employee Engagement from the Perspectives of Exploitation and Exploration
by Irene Wei Kiong Ting, Sui Hai Juan, Mohd Ridzuan Darun, Liu Yao, Qian Long Kweh
Abstract: The main purpose of this study is to assess the impacts of knowledge creation on employee engagement from both exploration and exploitation perspectives. After identifying that knowledge creation could facilitate employee engagement from a literature review, the study proposed a model of knowledge creation toward employee engagement. A survey questionnaire was developed accordingly. With a stratified sampling method, data were collected from the academic staff of one public and one private university located in Malaysia. A total of 200 academic staff members participated in this study. Linear regression analysis was performed to test how knowledge creation (i.e., exploration and exploitation) affects employee engagement. Statistical results show that the exploration and exploitation of knowledge creation positively and significantly affect employee engagement. The proposed model could aid universities in utilising knowledge creation practices to engage employees so as to attain and sustain competitive advantage.
Keywords: knowledge creation; exploitation; exploration; employee engagement.
The use and impact of Goodreads rating and reviews, for readers of Arabic Books
by Ahmad Alghamdi, Hisham Ihshaish
Abstract: The focus of this research is to assess how the use of Goodreads can influence Arabic readers' selection of books, to study Arabic reviewers' behaviour and to explore the impact of Goodreads' metrics on book sales. Research methodology of the presented work consisted of a wide review of relevant literature, the collection and analysis of data from a questionnaire and a case study on a list of best-selling Arabic books fetched from two book-review platforms; Goodreads.com and Jamalon.com. The findings of the presented study show that Goodreads metrics reveal highly relevant indicators for books' contents, and consequently have a significant impact on Arab's book-purchasing decisions. Furthermore, we observed that Arabic Goodreads users tend to rate books rather than write reviews, and their book evaluation is mostly based on their contents. Primary research results suggest that, with proper analysis applied, Goodreads is an effective book evaluation network/online community for Arabic readers and Arabic book consumers. It is believed that the effectiveness of the studied network is mainly due to the metrics applied, which appear to be matching evaluation criteria as preferred by Arabic readers.
Keywords: Goodreads; online community; book reviews; Arabic book review; Arabic Goodreads; book rating; online bookstore; social network; book reader; word-of-mouth recommendations.
Customer Sentiment towards Freebies in Telecom Sector: A Social Media Mining Approach
by SUHEL AHMAD, Alpana Srivastawa, Seema Sharma
Abstract: Organisations rely heavily on social media for inferring customer feedback and sentiments associated with their products or services. This study, using social media data, aims to find the sentiments associated with JIO, a new entrant among Indian cellular service providers. They initially offered all the services for free (freebies) to attract subscribers. Tweets were analysed using text mining techniques and R statistical tool. The findings reveal that, in spite of 23% users of JIO having a negative sentiment, the customer-base of service provider is continuously increasing, suggesting high inclination towards freebies. Further, some service parameters were negatively mentioned, pointing towards the need for improvement. Presence of a system bug was identified, that the service provider was unaware otherwise. Future prospects include sentiment analysis of customers from other platforms. This is an independent work, conducted utilising text mining and results could be implemented to monitor and upgrade service quality.
Keywords: JIO; sentiment; twitter; analytics; freebies; Telecom; data mining; text mining.
Stage-by-stage technology for developing of integrated e-trading management system
by Oleg Pursky, Iryna Moroz, Victoria Novikova, Sviatoslav Pavlyshyn
Abstract: In this work, we present the stage-by-stage technology for development of integrated e-trading management system which consists of four basic stages. As a first stage in accomplishing this goal, we set out to apply a methodology of functional modelling SADT (IDEF0) to develop a functional model for a large e-trade enterprise. At the second stage of this technology, we wanted to ascertain scheme of e-trading business processes conformity to modules of the developed functional model and establish their relationships with the organisational structural elements of the e-trade enterprise. At the third stage of technology, we have turned our attention to developing an architecture model for integrated e-trading management system. A service-oriented architecture (SOA) using enterprise service bus (ESB) concept is offered for architectural implementation. Typical IS that belong to the web-system are used as services. The web-services implement SOAP protocol based on Web Services Description Language (WSDL) and universal description, discovery and integration (UDDI) specifications. Finally, as a fourth stage of technology, we presented the method of software implementation for integrated e-trading management system.
Keywords: e-trade; business process; functional model; SOA; ESB; integration patterns; architecture model of integrated e-trade management system.
Factors affecting the use of social networks as a customer relationship management (CRM) tool
by Mohammed Nuseir, Abdallah AlShawabkeh, Emma Leibfried
Abstract: Social networking finds its essence in communication. People communicate with their friends and acquaintances to increase their social capital, deepen their existing relationships, and enter into new relationships. By sub-categorising social networks into three main criteria factors, namely social structures, relationships, and communities, this study aimed to investigate companies' potential to use customers' social networks as a customer relationship management (CRM) tool in order to maintain the existing customer base and to acquire new customers. The sample included 268 participants from Germany and the UK. Study results revealed that the incorporation of social networks could serve as a powerful CRM tool for companies. The management of companies should therefore be aware of these influential factors to improve customer service and CRM processes.
Keywords: social networks; social media; social network marketing; customer relationship management; CRM tool.
DIVERSIFYING THE PREDICTIONS IN THE RECOMMENDER SYSTEMS
by R. Dhanalakshmi, V. Saran Chaitanya, Bam Bahadur Sinha
Abstract: In pursuance of building a recommender system, the existing collaborative filtering model often fails to provide a diversified list of recommendation to the end user. Most of the existing models target accuracy and thus fails in avoiding the uniformity dullness from the recommended list. In our paper, we have made use of imputation technique to cut-off sparsity and employed graph-based algorithm to generate a diversified list of recommendations in order to prevent the aforementioned problem of over specialisation. A substantial coverage evaluation on MovieLens dataset demonstrates the fruitfulness of our proposed graph-based model.
Keywords: Aggregate diversity; Graph based algorithm; Collaborative filtering; Data sparsity; Imputation; Over-specialization and Coverage.
A Systematic Review and Bibliometric Analysis of Community Detection Methodologies in Dynamic Networks
by Shashank Mouli Satapathy, Namika Makhija, Ashish Kumar Dwivedi
Abstract: With the growing use of the internet, the number of relationships between individuals has increased in large numbers. This has necessarily paved the way for community detection, which is one of the primary methods to analyse social networks. There have been several methodologies proposed for community detection in the past, which are systematically contrasted against each other in the following sections. The aim of this research article is to analyse the various proposed methods for community detection on six primary basis: most commonly used algorithms, the research interest of the topic, country-based interest, author co-citation network, other investigated domains, and the relationship between citations and year of publications and algorithms. A set of research questions is formulated that addresses the objective of conducting this literature survey. A search strategy is employed to cater to the required set of articles.
Keywords: Cocitation Networks; Community Detection; Community Structure; Social Networks.
Critical Success Factors Framework for implementing and adapting BIS on Organizational Performance
by Gawaher Hussein, Mohamed Grida, Abdel Nasser H. Zaied
Abstract: Business intelligence systems (BIS) have an important role in an organisation development and have received a considerable attention from researchers and practitioners. Few studies have empirically evaluated the effect of critical success factors (CSF) on successful implementation of BIS, and some empirically evaluated these impacts on organisational performance. The main objective of this research is to propose a CSFs framework by categorising CSFs into four categories and studying their effects on organisational performance. A case study from Egypt was used to identify the possible existing gaps in the implementation of BIS and suggested the possible ways to enhance organisational performance. The results show that the CSFs are crucial for successful implementation of BIS and have positive significant effect on an organisations performance.
Keywords: Business Intelligence Systems (BIS); Critical Success Factors (CSF); Organization's Performance (OP); Business Intelligence Implementation (BII); Business Intelligence Framework (BIF).
Cluster based convolution process on Big Data in Privacy preserving datamining
by Lalitha R., Rameshkumar K.
Abstract: The main intension of this paper is to privacy preserving-aware over big data in clouds using KNN and MapReduce framework. This paper consists of three phases such as, MapReduce phase, clustering the map reduced data and evaluation phase. In MapReduce phase, we are splitting the input data after the splitting process we are including a k-means clustering algorithm to cluster the map reduced data. Then we are performing a convolution process to the dataset and create a new matrix. Once it is over, the privacy-persevering framework over big data in cloud systems is performed based on the evaluation base. In evaluation module, performed with the aid of KNN algorithm in this phase using KNN technique to check the duplication data also based on the threshold we store the non-duplicated data's are stored in cloud database, which is improving the utility of the privacy data.
Keywords: Cloud computing ;Cluster;Distributed File System (HDFS);KNN.
Task-Technology Fit (TTF), User Satisfaction, and Information System (IS) Acceptance in Relief & Social Services Sector
by Khalid Dahleez, Khaled Bassam Al-Gharbawi
Abstract: his research focuses on studying the management information system (MIS) used in 16 area offices of Relief and Social Services Program (RSSP) at UNRWA
Keywords: Task-technology fit; TTF; Technology Acceptance Model; TAM; IS User Satisfaction; IS Success; IS in Relief & Social Services; Perceived Usefulness; Perceived Ease of Use; Computer Self-Efficacy.
Realizing the missing: how does the sense of organizational belonging influence the success of enterprise resources planning (ERP) implementation?
by Ibrahim Almatrodi
Abstract: This paper examines the question of how the sense of belonging to an organisation on the part of the organisation's employees influences the success of the process of enterprise resources planning (ERP) implementation. The research seeks to address this question by employing a qualitative case study methodology, and specifically by conducting semi-structured interviews with an information technology (IT) manager, developers, implementers and users, and university managers. The study finds that a sense of organisational belonging influences the success of ERP implementation through psychological and managerial means, and through the use of power. It also includes recommendations from the perspective of the participants regarding how a sense of organisational belonging can promote this success.
Keywords: Organizational belonging; ERP systems; case study; ERP implementation.
Open Source Platform for Big Data Exploration and Analysis
by Fernando Almeida, Pavel Kovalevski, Dovydas Sakalauskas
Abstract: Despite the enormous potential of big data, it is a relatively new issue for many companies, particularly for those of smaller size that looks this challenge as unattainable and only possible for companies with high financial capacity. However, open source software presents itself as an excellent alternative for these companies, which will allow them to exploit the high volume of data they have at their disposal. In this sense, this study presents a proposal for an architecture based exclusively on open source software that includes the entire value chain of big data, from data collection to data analysis. This architecture was tested considering three emerging scenarios in which big data become very relevant and challenging, namely for mobile analytics, network analytics, and mobile analytics.
Keywords: big data; open source; data mining; mobile analytics; network analytics; mobile analytics.
A Ubiquitous Project Management Model based on Context
by Alexsandro Filippetto, Giovane Barcelos, Jorge Luis Victoria Barbosa, Rosemary Francisco, Amarolinda Z. Klein
Abstract: The context of project management often involves a high degree of uncertainty. Approaches to minimise this uncertainty and to provide proactive risk management regarding the right allocation of individuals in project teams are needed. They could reduce risks such as planning deviations from the targeted time, cost, and quality of the project. In this sense, this paper proposes a model to support risk and activity management, aimed at the allocation of individuals in projects through an ontology based on the concepts of the activity theory. This model named Kairos can help the allocation of appropriate resources to each project. The scenarios and prototypes applied in the evaluation of the model demonstrate its suitability and utility to support project managers.
Keywords: Project Management; Risk Management; Resource Allocation; Activity Theory; Ontology.
Does knowledge intensity of industry promote firms ICT use? :Empirical evidence from South Korea
by Min Jae Park, Jeong Yeon Won
Abstract: This paper investigates the factors that influence the digital divide at a corporate level and the effects that external factors (transaction and knowledge intensity of industries) have over the division of company levels. The conceptual framework of this study is based on a theory of planned behaviour (TPB) model to explain the gap between the utilisation of ICT use in companies with a quantitative approach, by collecting a data sample of 4,303 Korean companies participated in national survey of 2016. There exist endogenous factors such as perception of using value, management support and innovation readiness to influence the use of ICT. In addition, the moderating effect of knowledge intensity of industries (KII) has a limited impact on the ICT use. This paper aims to examine the digital divide with an extension of changes from corporations to the industrial structures.
Keywords: Digital Divide; Theory of Planned Behavior (TPB); ICT use; Corporate/Firm; Competition; Knowledge Intensity.
Antecedents of knowledge sharing in the small and medium-sized enterprises (SMEs): The impact of international orientation and responsibility
by Reihaneh Alsadat Tabaeeian, Reza Salehzadeh
Abstract: The study aims to investigate the relationship between international market orientation, corporate social responsibility (CSR), international entrepreneurial orientation, and knowledge sharing within the context of small and medium sized enterprises (SMEs). A survey of 287 managers involving Iranian SMEs was carried out to examine hypotheses. The partial least squares (PLS) path modelling method is applied to analyse the model of the study. The empirical results from the structural model suggest that international market orientation influences CSR. Furthermore, CSR influences international entrepreneurial orientation. In addition, CSR and international entrepreneurial orientation are direct antecedents of knowledge sharing. This study contributes to the literature of knowledge management and CSR in SMEs by being the first to investigate the impact of an international market orientation on ethical and philanthropic responsibility.
Keywords: Knowledge Management; Knowledge sharing; International market orientation; Corporate social responsibility; International entrepreneurial orientation; Small and medium sized enterprises.
Software productivity based performance assessment of projects of Startups
by Parthasarathy Sudhaman, C. Sridharan
Abstract: Software startup companies are meant to deliver software products or services in a short time, while operating with minimum resources. This research work makes an attempt to evaluate the efficiency of software projects undertaken by these software startup companies, using data envelopment analysis (DEA), and explores the impact of software customisation over the efficiency of their projects. Dataset of ten software projects, from four different software startup companies, has been used for DEA analysis. From this analysis, it is observed that four of the ten software projects are the most efficient. We have also mapped the degree of customisation with the estimated efficiency of these software projects, and found that the software customisation has considerable influence over the efficiency of the software projects undertaken by software startup companies. This research work has specific implications for software startups.
Keywords: software projects; customization; DEA; optimization; efficiency; software startup.
Antecedents of repurchase intentions in Indian e-commerce
by HABEEB SYED, K. Francis Sudhakar, T. Rahul
Abstract: The purpose of this study is to determine the antecedents of online shopping repurchase intentions in India. The influence of factors like online customer satisfaction, customer trust, website quality and website design on repurchase intentions was explored. The study was performed considering 413 valid responses collected from an online survey. A model was built and tested with a structural equation modelling (SEM) approach. The results indicate that website design, website quality, and customer experience had a meaningful and positive effect on customer satisfaction. Customer satisfaction positively affects customer trust and customer loyalty. The findings provide important implications for marketers to implement in Indian e-commerce.
Keywords: Customer satisfaction; Customer trust; India; Repurchase intention; Structural equation modeling.
Constraint based recommender for procurement opportunities
by Rahma Dhaouadi, Achraf BenMiled, Khaled Ghédira
Abstract: We propose a recommender which deals with the suggestion of suitable supplying opportunities. The established system is addressed to the handicraft women communities. It targets to respond to their needs and fit their expectations. Indeed, the recommendation mechanism is based on the final users profiles, preferences and constraints. Moreover, the adopted recommendation strategy is hybrid. It includes both the knowledge and the demographic approaches for better performance. Additionally, we proposed two recommendation algorithms in order to select and rank suitable suppliers. In order to validate our approach we designed and developed a to context ontology; multi-agent system. Technically, we developed a J2EE application based on the JSF technology. Moreover, we introduced interesting experimentation results showing that our system is accurate and novel.
Keywords: recommender; supply chain; context ontology based multi-agent system; supplier selection; supplier ranking; constraint based recommendation;.
A Multidimensional Measure of System Quality
by Kedar Bhatt, Minakshi Gupta
Abstract: With increasing adoption of banking through mobile apps, it is important to understand user's perception of system quality towards these apps. System quality has been identified as one of the system specific factors affecting user acceptance of the information system in IS literature. However, multidimensional nature of system quality has not been explored much and very few studies have focused on measuring system quality in mobile banking apps context. This study identifies sub-dimensions of system quality from literature, and it explores multidimensional nature of system quality and further confirms the validity and reliability of the multidimensional scale of system quality. The dimensions identified are reliability, ease of use, user interface, response time, security and functionality. The paper also confirms whether system quality performs better as a second-order factor in predicting user satisfaction as compared to first-order six sub-dimensional models does. The data were collected from total of 534 users of mobile banking apps in India through structured questionnaire. The questionnaire contained questions on system quality dimensions and satisfaction. The paper discusses implications for academicians in terms of measurement of system quality, and for practitioners in terms of understanding aspects of system performance from user's point of view.
Keywords: System Quality; User Satisfaction; Multidimensional scale; Mobile Banking apps; Confirmatory Factor Analysis.
Modeling Consumers Payment Behavior Towards Contactless Cards
by Vaggelis Saprikis, Maro Vlachopoulou, Angelos Markos
Abstract: Mobile payment technologies have led the development of an open and collaborative payment ecosystem, where financial institutions and merchants have provided innovative solutions to conduct business with consumers. One of these new evolving payment alternatives is contactless card that incorporates near field communication technology, enabling consumers to make everyday purchases quickly and safely especially for low-value transactions. Based on the technology acceptance model, innovation diffusion theory, and the relevant literature, nine variables
Keywords: contactless cards; behavioral intention; contactless payments; near field communication technology (nfc); technology acceptance model.
Managing the Business Processes under the Influence of Industry 4.0
by Michal Halaka, Roman Perka
Abstract: It is intended that the digital technologies and enterprise information systems are aligned with underlying business and manufacturing processes to perform at the highest levels in companies. The focus of the paper is on operational processes running in companies from different perspectives based on state-of-the-art of Industry 4.0 concept. It discusses the potential of process mining techniques for Industry 4.0. The core of the paper demonstrates how can process mining method enhance elements of Industry 4.0 concept through case study from financial sector with the emphasis given on efficiency and monitoring of a loan process. The research shows that management of business and manufacturing processes is very important due to the properties of processes of Industry 4.0 concept like, e.g., self-organisation, autonomy, decentralisation, that is seriously challenging to manage. The introduced methodology could help companies to diagnose issues in their operational processes and thus brings a completive advantage when implemented.
Keywords: Industry 4.0; processes; process mining; model; business process management.
Modelling Performance of Supply Chain System and its Antecedents: An Empirical Study
by Joseph Jeya Anand S
Abstract: Rapidly changing global business environment makes the supply chain to face numerous challenges and sets rigorous target requirements for continuing the operations. To sustain in this unpredictable environment firm needs strategy on supply chain flexibility (SCF). We intend to empirically examine the impact of supply chain flexibility on supply chain performance (SCP) and also to identify the antecedent variables to SCF. This study includes 249 samples from manufacturing industry. We used structural equation model with a partial least square (PLS-SEM) approach for examining the model and SmartPLS 2.0 software was used for analysis. The result indicates that the SCF significantly contributes to the supply chain performance namely demand management, supply chain reliability (SCR) and supply chain knowledge development. The mediation analysis shows that SCF partially mediates the relationships between supply chain capabilities and supply chain performance. The findings contribute to the existing literature and also provide direction for further research in SCF.
Keywords: Supply Chain Flexibility; Supply Chain Performance; Demand Management; Supply Chain Reliability; Knowledge Development; Information Management; Environmental Uncertainty; Risk Management.
Determinants of the Success of Online Retail in India
by Vikas Kumar, Ogunmola Gabriel Ayodeji
Abstract: Indian e-commerce industry has witnessed tremendous growth in recent years, which has resulted in the emergence of a big online retail segment. Due to the enabling environment, government policies, and the rapid infrastructural and technological development, there has been an increase in the number of online retailers both established brands and starts-ups. However, this has led to a high competition in the market, where the e-tailers jostle for market share, visibility and brand awareness. For a new entrant into the industry to be successful, it has to pay attention to the factors that contributes to the success of online stores. Such determinant factors must be known to the online retailers to position then in this rapidly changing marketplace. This paper seeks to identify the most important determinants to the success of online retail in India and how these can be taken up by the retailer. Along with that, it also outlines the factors, which can lead to the downfall on an e-tailer. Technology, govt. policy and marketing channels are the most important perspectives covered in this work.
Keywords: Online retail e-Commerce B2C Internet Marketing Security.
Authentic Cloud-biometric Signature Verification System for Healthcare Data Management
by Gunasekar Thangarasu, P. D. D. Dominic, KAYALVIZHI SUBRAMANIAN
Abstract: Nowadays, cloud computing is the fastest growing technology in the world in various fields such as engineering, games, healthcare and agriculture. Data maintenance is an important aspect in the healthcare management for diagnosing diseases and or further treatments. This study presents authentic cloud-biometric signature verification for healthcare management. Data security is the major issues in healthcare management. It is led to tax, bank, insurance and medical fraudulence. Therefore, the retrieval of medical data onto secured access is essential to improve the protection of healthcare services. Authentic cloud-biometric signature verification system for healthcare data management has been designed using neural network for data protection. The accuracy of data retrieval from cloud healthcare is measured using neural network. The neural network acquires biometric signature through biometric sensor processed with quality checker for effective authentication. This network also supports in terms of statistical learning of the clinical datasets. After various experiments, it is concluded that the proposed method provides faster results with higher sensitivity and specificity rate of 0.98 and 0.95, respectively. In comparison with other state of art methods, it is found that the cloud healthcare data security system attains better performance than the existing systems.
Keywords: Authenticate Healthcare Biometric Data security Hadoop MapReduce.
A Novel Priority-based Resource Scheduling Mechanism for Containerized Clouds
by Madhumathi Ramasamy
Abstract: With the growing adaption of the containerisation idea, cloud environments are being stuffed with the containers to gain the business, technical and user benefits of both the cloud idea and the containerisation paradigm. Due to the lightweight nature of containers, a cloud centre comprises millions or even billions of containers. This rapid growth of containers in cloud poses several operational and management challenges. The other key problem is to know how optimally allocate different containers for all kinds of incoming tasks on a timely basis. This paper has been prepared based on priority-based resource scheduling approach to fulfil the varying resource requests for business workloads by continuously monitoring the Docker container performance, health condition, and security. Further on, when there is a stream of new tasks waiting for resources, there is also a challenge of how resources can be optimally identified and scheduled in order to fulfil task requests.
Keywords: Cloud Computing; Scheduling; Virtualization; Docker; PLP; Containers.
Examining the Effect of Lecturers Demographic Variables on the Challenges Facing the Use of E-learning in a University Context
by Hanan Aldowah, Irfan Naufal Bin Umar, Samar Ghazal, Amira Saif, Brandford Bervell
Abstract: This study examines the effect of the lecturers' demographic variables on the challenges of e-learning which expected to affect the individuals' use of e-learning in any educational institution. A quantitative design was employed, and 107 lecturers in a public university in Yemen responded the survey-based questionnaire. An inferential statistic was used to identify any significant differences between the four challenges of using e-learning and the demographic variables of the participants. Based on the findings, the effects of lecturers' demographic background on the four main challenges of using e-learning with regards to the course, technological, organisational, and personal challenges were determined. Results showed some individual demographic differences in terms of the significant effects of course, technological, and organisational challenges. The results imply that university decision-makers must be aware of the lecturers' demographic background that has effects on the use of e-learning at the university. Theoretical contributions and practical implications based on the findings are discussed.
Keywords: E-learning; Demographic Variables; Challenges; Yemen.
Spatial Data Cubes based on Shared Dimensions and Neighborhood Relationship Concepts
by Rodrigo Rocha Silva, Tarik De Melo e Silva Rocha, Tiago Garcia De Senna Carneiro, Joubert De Castro Lima
Abstract: A data cube has exponential storage and runtime complexities with linearly increasing dimensionality; in addition, a spatial data cube further complicates the issue since it integrates spatial features into a data cube. In this paper, a new data cube approach, named spatial cubing, or simply S-cubing, implements two spatial indexing techniques and two spatial non-relational representations. S-cubing based on shared dimensions is the first non-relational solution designed to support spatial data cubes with continuous dimensions, resolution hierarchies and multiple spatial measures and is capable of running on multi-core computer architectures. S-cubing, based on neighbourhood relationships, implements a new data cube hierarchy algorithm using relationships among cells of a regular grid. Thus, this algorithm creates thematic maps from non-geopolitical regular areas, therein avoiding manual hierarchy definitions. A sequential version is found to be faster than a PostGIS implementation and the parallel version achieved a speedup of 13 with 24 threads.
Keywords: Spatial OLAP; Multidimensional Analysis; Neighborhood Relationship; Data Cube; Spatial Measures; Spatial Indexing; Continuous Dimensions.
Decision-Making in Partially Known Business Process Environments using Markov Theory and Policy Graph Visualization
by Sérgio Guerreiro
Abstract: This paper designs and validates an innovative solution to solve the problem of lack of information available for the deciders due to business process environments that are only partially known. The solution is applied to a partially observable case study and the validation is grounded in the interpretation of results delivered by Markov theory. Firstly, the domain of interest is formalised by a set of definitions; afterwards, an instantiation in a agrofood industrial company is presented to show its applicability and usefulness. The algorithmic solution, and visualisation, is fully presented to the reader. Results reveal a control policy that forecasts the future behaviour of business processes operation. Compared with related work that analyses past executions from available data, our solution has the advantage of forecasting decision impacts from current data. Moreover, this solution supports the management decisions, providing control policy graphs that express the impacts of decisions in the organisational operation, and therefore, minimises the risk of making wrong decisions. In the end, organisation is enforced with resiliency capabilities that are triggered whenever any misalignment occurs.
Keywords: Actuation; Business Process; Instance; Markov Theory; Model; Observation.
Optimising IT outsourcing services by managing the balance between standardisation and customisation - A providers perspective.
by João Santos
Abstract: During the last decades, information technology (IT) outsourcing gained considerable management attention being considered a strategic decision to promote success. IT outsourcing providers deliver services using complex service systems composed by people, technology, and information, resulting in operational contexts displaying multi-input and output variables that many times originate high degree of variance between contracts and clients. Consequently, service providers have an operational context to be improved. The focus of this research is to study the balance between standardisation (mainly for productivity increase) and customisation (primarily for client satisfaction) that is a major issue for providers serving multiple clients. Data envelopment analysis (DEA), a linear programming technique was used to manipulate multiple inputs and outputs. Design science research allowed to develop and test an artefact based on seven service dimensions, with 24 service items applicable to a single service or a multi-service configuration. The results obtained allow identifying the best operational strategy to follow. Future research is possible as adapting the artefact to other service sectors.
Keywords: IT outsourcing; Service delivery; Service standardisation; Service customisation; Design science research.
DETERMINANTS OF E-COMMERCE ADOPTION IN SMALL AND MEDIUM ENTERPRISES: A LITERATURE DERIVED MODEL FOR DEVELOPING NATIONS
by Pawan Kumar, Harpreet Kaur
Abstract: The present paper aims to develop a deeper understanding of the various determinants of e-commerce adoption among small and medium enterprises in developing countries through an extensive review of 43 empirical studies on 22 developing nations. The paper reviews the research methods, models followed, countries of study and the factors affecting the adoption of e-commerce in developing nations. Through the diverse adoption factors studied in these empirical researches, a reference model has been derived to be used for similar studies in developing economies in future. The proposed model will help in addressing the issues restricting the adoption of e-commerce technologies in SMEs in developing nations in the 21st century's digital era.
Keywords: E-Commerce; ICT; TOE; DOI; SME.
Dimensions influencing Business Intelligence & Analytics Maturity: a critical analysis
by Aditi S. Divatia, Sunil Lakdawala, Jyoti Tikoria
Abstract: The importance of business intelligence and analytics (BI&A) as a capability in an organisation has grown over the years. In order to assess the state of BI&A, managers today need to identify the critical dimensions which influence the maturity of BI&A capability. A wide range of maturity models (MMs) have been developed, for the purpose of assessment of BI&A capability maturity. Managers may find it difficult to select the appropriate MM to use especially with the changing characteristics of data over time and advent of big data. Each of these models has multiple dimensions which are not necessarily exhaustive and distinct. This study consolidates the large number of dimensions found across 29 BI&A MMs in extant literature. With help of an expert panel, a set of six distinct and critical dimensions needed for assessing BI&A capability in organisations have been identified. Qualitative research tool NVIVO is used for analysis of the research articles.
Keywords: Business intelligence; business analytics; maturity; implementation; adoption; big data; capability maturity; NVIVO; dimensions; maturity model.
Are numeric ratings true representations of reviews? A study of inconsistency between reviews and ratings.
by Bidyut Hazarika, Kuanchin Chen, Muhammad A. Razi
Abstract: Consistency between review messages and ratings has been an implicit assumption of many product review studies. However, such an assumption has never been critically examined. Our study investigates the consistency between app reviews and their corresponding ratings to uncover insights on the nature of inconsistency and how that inconsistency relates to fee structure (paid or free) and product category. To examine this inconsistency, we collected data from the iTunes store. We used sentiment mining to measure the discrepancy between the review sentiment and the ratings of the app. Our findings show that the assumption of consistency between product ratings and product reviews do not always hold. Findings support the existence of inconsistency, but not for all product categories. As the groups of apps differ in their consistency patterns, future researchers are recommended not to lump all apps together. Doing so, could obscure the distinctive difference among these apps, thereby offering less insight from the collected data.
Keywords: Product ratings; product reviews; review sentiment; app versions; iTunes; app categories.
Customer Relationship Managements linking to Export Performance: the Mediating Role of Relational Capital, in Iran
by Zahra Amin Afshar, Rohollah Bayat, Mohsen Hooshangi
Abstract: Nowadays relational capital and customer play important role in developing gaining competitive advantages, so, the purpose of this study is evaluating CRM on manufacturing firms export performance. The study is an extension of the work linking relational social capital, customer, and firm export performance. In this line we applied relational social capital as a moderating variable between CRM and customer satisfaction, orientation and participation. This research is based on structural equation modelling and the data were collected from 134 manufacturing firms in Qazvin province industrial parks and analysed by partial least square (PLS) method. Empirical results confirm that there is positive impact among CRM and customer satisfaction, orientation, participation. And also, these three dimensions of customer positively influence export performance. Relational capita has direct positive impact just on customer satisfaction, but the mediator role of relational capital rejected completely. The results help Iranian managers to improve their export performance by developing CRM in their international marketing.
Keywords: Export Performance; Customer Orientation; Customer Relationship Management; Customer Satisfaction; Relational Capital; Iran Manufacturing Firms.
Mathematical Modelling in Accounting Information Systems
by Petr Hanzal, Petr Chladek
Abstract: The aim of this paper is to introduce continuous mathematical models for calculating planned cash-flow, based on the calculation of planned accounting data obtained from ERP systems of business entities. Using mathematical models defined in this way, it is possible to predict the values of required statements, or key performance indicators (KPIs), needed to assess the near future of an enterprise. The advantage compared to a discrete model is the possibility of finding the value of a quantity at any (non-integer) moment. This article should be considered as a contribution to the application of mathematical methods in business information systems in a general context.
Keywords: enterprise resource planning; accounting data; mathematical modelling; numerical methods; polynomial interpolation; cash-flow planning; continuous models; discrete models; information systems.
Knowledge Management Based Approach For Inter-organizational Collaborative Processes Modelling
by Kahina Semar-Bitah, Kamel Boukhalfa
Abstract: Nowadays the current market is in evolution, organisations must work together to ensure their survival. The collaboration partners are heterogeneous and incompatible, which makes the interaction and exchange between them complicated, and requires new technologies to support them. This paper presents a knowledge management-based approach for inter-organisational collaborative processes IOCP modelling. Ontologies represent an effective solution to deal with the heterogeneity and incompatibility problems in different domains. Collaboration ontologies provide a way to promote its modelling. In this domain, there are only few ontologies which cover it partially. The developed system is composed of three part: 1) gathering and formalising collaborative network knowledge; 2) storing knowledge in a knowledge-based to infer the collaborative process model; 3) the IOCP modelling. The heart of this knowledge-based system is a modular ontology conceived to cover as maximum as possible the collaboration domain. The proposed system was conceived as a part of a collaborative platform allowing the modelling of the IOCP in a generic way.
Keywords: Inter-organizational Collaboration; Organization; Collaborative processes; Knowledge base; Modular ontology.
Potential barriers to the use of social media in the public sector: lessons from Saudi Arabia
by Omar Hujran, Mutaz M. Al-Debei, Rasmiah Alhawsawi
Abstract: Social media platforms have transformed the way the public sectors connects and interacts with their citizens. Indeed, social media offers various benefits to the public sector. However, the use of social media is not free of risk. Risks that might arise due to the use of social media platforms in the public sector include privacy, security, and lack of control over the channel of communication. Because of such risks, the uptake of social media platforms is not as expected and this is more evident in developing countries as Saudi Arabia, which has unique cultural values. Hence, this qualitative research aims to realise the main barriers for the usage of social media platforms in the public sector of Saudi Arabia. Six semi-structured interviews were conducted with the e-government executives and bureaucrats to collect relevant data. Following the TOE framework, this research organises these factors into three categories: environmental, organisational and technological.
Keywords: information and communication technology; ICT; e-government; social media; Web 2.0; Saudi Arabia.
Students Perceptions in Software Modelling using UML in Undergraduate Final Year Projects
by Kanos Matyokurehwa
Abstract: The paper sought to establish the students' perceptions in software modelling using UML in their final undergraduate projects. The research was done at the University in Botswana. The research used a mixed methods approach, an open ended questionnaire was administered to the participants. A sample size of 140 participants that met the inclusion criteria was used in the research. The key findings from the research were that students find modelling using UML to be challenging. Some of the project supervisors assigned to assist students with their projects was not knowledgeable with the student's project topic.
Keywords: Perceptions; Knowledge; Software Modelling; Degree Programme; UML; Computing Projects; Students.
Understanding the drivers for adoption of Blogs in business
by Parag Uma Kosalge, Suzanne Crampton, Ashok Kumar
Abstract: Today, blogs are used in businesses for workplace communication and collaboration. They provide unique advantages at the tactical and strategic levels, including directing group work, collective intelligence, and improved business processes. This research empirically examines the perceptions of the new generation towards blogs in the workplace to arrive at five factors that drive adoption: business improvement, business cost, ease of use, internal collaboration and personal use. Business benefits such as generating new customers, and improving communications with customers, employees, and suppliers, find strong recognition. Structural equations modelling show that only four of these five factors influence user's intention to adopt blogging technology. This research is important for academicians as it examines what motivates the modern workforce to adopt blogs. A better understanding of end-user perceptions can help organisations shape initiatives and improve successful adoption. Technology providers can focus on improving performance on aspects important for the business users.
Keywords: Internet; Web; web apps; Blogs; Web 2.0; benefits; user perceptions; technology; adoption; drivers; communication; collective intelligence.
ESPORTS: A NEW ERA OF SPECTATOR GAMES FROM A CONSUMERS VIEWPOINT
by Alan D. Smith, Amber A. Smith-Ditizio
Abstract: It is common to assume that motivations for eSports will match motivations for other industries, such as traditional sports. While this provides a baseline for motivations, it is necessary to study the industry itself, not only use preexisting models. Based on a review of existing research in the field of eSports, important driving forces include accessibility, competitiveness, and socialisation. Accessibility includes pricing models and media in which players can spectate and participate. Competitiveness includes players improving their skill, participating in tournaments, and equality. Socialisation includes a sense of community, playing with friends, and community created content. These forces were examined in the present study. This study involved the creation and distribution of a survey online with questions pertaining to motivation and participation in eSports. The survey was distributed online, with 750 respondents. The majority of respondents were males, 18
Keywords: Empirical; consumer behavior; eSports; gaming industry; marketing; motivational research.
Enhancing Information Technology-Related Skills among Accounting
by Ku Maisurah Ku Bahador, Abrar Haider
Abstract: Concerns about IT skills and soft skills associated with accounting practices have opened the eyes of many parties, including professional bodies, institutions of higher learning and academics worldwide. In this regard, tertiary institutions have sought to incorporate the elements of technology-related skills in the accounting curriculum. However, the skills gap between accounting graduates and employers expectations still exists. Therefore, there is a need for accounting practitioners to improve their technological skills in their profession. Hence, this study discusses findings on the approach, which enhances skills of information technology among accounting practitioners, especially those operating in Malaysian accounting firms. A qualitative method with case study approach has been used to identify the way accounting practitioners develop or enhance their IT-related skills. Four key approaches have been identified, i.e., formal education, training, work experience and job enrichment. This study contributes significantly to the academics and professional bodies and enhances IT-related skills within the accounting profession.
Keywords: Information technology; IT skills; skills development; accounting practitioner; IT competence; Malaysia firm.
Multi Level SLA Violation Based Resource Allocation in Cloud using Kernel Fuzzy C Means with Aid of EABC
by A. Kannaki, J.M. Gnanasekar
Abstract: In our proposed work we are considering four types of agent such as monitoring agent, coordinator agent, user agent and violation agent. Initially, user agent wants to generate the resource in cloud based on the SLA properties and coordinator agent is verifying the request type and SLA properties. The violation of the SLA is a major aspect of cloud computing and the violation leads to the reduction of customer satisfaction level and further affects the cloud provider leading to penalty. Initially the available resources are grouped by kernel fuzzy C means clustering algorithm (KFCM). Then monitoring agent report the resource list to the coordinator agent. Based on the resource list, the coordinator agent allocates the optimal resource with the help of enhanced artificial bee colony algorithm. The performance of the proposed work is evaluated by profit, penalty, cost, execution time and successful execution rate.
Keywords: Resource allocation; monitoring agent; coordinator agent; user agent; Violation agent; kernel fuzzy c means clustering; Enhanced Artificial bee colony.
Customers Segmentation in Pharmaceutical Distribution Industry Based on the RFML Model
by Nastaran Nikaein, Ehsan Abedin
Abstract: The distribution industry is one of the main industries and infrastructures in every countrys economy. Improving the efficiency of the distribution industry is important as an intermediary link between the manufacturer and the consumer, which has an important share of the cost. One of the factors that help this is the use of modern technologies to manage bulk sales data of customers and find important variables on their purchases behaviours. In this study, first data mining methods are used to segment the pharmaceutical industry customers based on the RFML model and then these
results are evaluated. In the following in order to help decision-makers and marketing managers of this industry, practical suggestions are presented for
each group of the customers. The results could help marketing and sales managers of this industry to have more effective planning for each customer segment and developing their future program for their visitors.
Keywords: distribution industry; customer segmentation; data mining; RFML.
Backup Node Selection using Particle Swarm Optimization Algorithm for Cut node Recovery in Wireless Sensor Network
by E. Anna Devi, J. Martin Leo Manickam
Abstract: Due to the failure or cut of a node, the performance of the network is affected. So cut node detection and recovery are presented in this paper. Initially, sensor nodes in the search area are clustered using the node weight of the sensor nodes. The node with maximum weight is selected as a cluster head (CH) and this CH performs as a monitor node which monitors all non-CH members in a cluster. Backup nodes (BNs) are selected in each cluster using particle swarm optimisation (PSO) algorithm. A cut node in the network is detected based on its hop-count and link cost value. This cut node is recovered by the selected backup nodes and mobile nodes (MNs) in the network. Simulation results show that the performance of the proposed approach outperforms that of the existing approach in terms of overhead, energy efficiency, network lifetime and BN selection time.
Keywords: Wireless sensor network; Node weight; Backup Node (BN); Particle Swarm Optimization (PSO); Cut node recovery.
From cloud to the board identification of triggers
adoption in Brazilian companies
by Luis Hernan Contreras Pinochet, Fabiana Robles Rodrigues Alves, Evandro Luiz Lopes, Eliane Herrero, Gabriela De Brelàz
Abstract: This article analyses direct and indirect effects of the behavioural intention to use model on the perception of managers of companies located in Brazil for the use of cloud computing technology. The main contribution of this study is to understand how companies accept and encourage the use of this technology and how users relate to this new mechanism. The theoretical model used was adapted from Wu (2011), with extension to various models of cloud computing delivery. This empirical research was carried out through a survey, consisting of a sample of 307 managers who play key roles in IT decisions in companies in Brazil. The results demonstrated that there is greater concern with skills that managers and users must possess for the use of cloud computing technology, as well as aspects related to the influence that the market has on the acquisition of new solutions.
Keywords: Cloud computing; Technology assessment; Managers; Modeling of Structural Equations.
The Influence of Internal-External Factors on the Cloud Computing Adoption
by Rakesh Raut, Bhaskar Gardas, Vaibhav Narwane, Pragati Priyadarshinee, Balkrishna Narkhede
Abstract: The present study integrates external and internal factors for measuring the performance of the organisation through the adoption of cloud computing activities. External factors consisted of perceived IT security risk, risk analysis, and social influence; whereas, trust, technology innovation, and industry usage were considered as internal factors. A statistical approach, namely structural equation modelling, was employed for the analysis of the data obtained through a questionnaire survey. The findings showed that external factors hurt cloud computing adoption (CCA), whereas internal factors and perceived ease of use have a positive impact on CCA. This investigation is intended to guide the policy and decision makers in formulating the efficient strategies/policies for the effective implementation of CCA.
Keywords: Cloud computing adoption (CCA); internal factors; external factors; organisational performance; structural equation modelling.
Barriers to crowdsource software development: evaluating the intertwined effects
by Nitasha Hasteer, Abhay Bansal, B.K. Murthy
Abstract: Cloud computing has changed the application development landscape. Using a cloud to outsource software development to a crowd of developers is an emerging area. While on one hand, developing software through crowdsourcing has merits of providing diverse innovative solutions with no investment in the manpower, on the other hand, such a creative task is constraint by the barriers to successful implementation. In this work, we identify and report the barriers to crowdsource cloud application development. We use the decision making trial and evaluation laboratory technique to analyse and determine the direct and indirect intertwined effects amongst the identified barriers. From the results, we infer that granular nature of changing technology, lack of trust on crowdsourced platforms, lack of understanding on intellectual property issues and security apprehensions are classified as the root causes that affects coordination and collaboration amongst the contestants of the crowdsourced platform, among other barriers.
Keywords: cloud computing; application development; DEMATEL; cause and effect relationship; crowdsourcing.
Implementation of the COD payment method on e-commerce websites in the Arab Region
by Mohanad Halaweh
Abstract: The cash on delivery (COD) payment method has been increasingly used in recent years as a method of payment in e-commerce transactions. However, research within the e-commerce field to determine how widely this payment method has been adopted is limited, especially from the e-commerce websites' perspective, at the global level, and specifically in Arab countries. Therefore, the aim of this paper was to study the current use of COD in the Arab region by evaluating e-commerce websites that accept this payment method. The research findings showed that all surveyed e-commerce websites have adopted the COD payment method in addition to other e-payment options. The findings also revealed that there is no consistency in the icon/image used to indicate acceptance of this payment method or where it is located on the website. Results also revealed that there is lack of clarity in policies pertaining to this payment method. The interpretations of the research findings and implications as well as future research are discussed.
Keywords: e-commerce; online payment methods; e-payment; adoption; cash on delivery; COD; acceptance; Arab Region; online shopping; information systems.
Test coverage and impact analysis for detecting refactoring faults: a study on the inline method
by Iyad Alazzam, Marwa Samih Al-Amri
Abstract: Using refactoring techniques is known as a good practice to enhance the software quality either by decreasing the complexity or enhance the behaviour of the software. Here, we conduct a study using inline method refactoring technique to investigate the significance of this technique, in order to examine how this kind of refactoring affect the coverage of the test suite by applying impact analysis of test coverage. We apply inline method refactoring on one package of JGAP; open source java project and make some experiments. The results show the inline method refactoring has essential benefit in decreasing complexity. On the other hand the results reveal that this refactoring technique has a negative impact on coverage from testing perspective.
Keywords: test coverage; refactoring; inline.
Determinants for adoption of cloud in government sector in India: a review
by Kshitij Kushagra, Sanjay Dhingra
Abstract: Across the globe, organisations are moving towards cloud computing due to its wide array of advantages. The amplification in cloud adoption in near future is very predictable as it is cheaper, better and faster than traditional IT services. This review work primarily focuses on the determinants for the adoption of cloud computing in India and particularly in government sector. Government sector requires academic research because they are complex institutions, largest employers in the country and one of the biggest spenders on technology, but have not been positioned at the cloud computing dimension so far. India's adoption has not been accelerated at the pace which other nations across the globe have achieved. This study tries to find the gaps and bottlenecks for adoption of cloud computing and will form the bedrock for the future research in informational technology field.
Keywords: cloud service provider; infrastructure as a service; platform as a service; software as a service; government; India.
Measuring internet addiction in Europe-based knowledge societies: a case study of France
by Habib Ullah Khan, Helmi Hammami
Abstract: The technological evolution has put a new challenge, internet addiction along with the internet technology before the world. The study intended to collect the data pertaining to internet usage among the residents of France with the help of modified internet addiction test tool, which is originally developed by Widyanto et al. (2011). The study data is collected from 122 respondents. The outputs of the analysis provided interesting insights. It is proved from the analysis that age has more bearing on the level of internet addiction. Yet, subtle factors are playing a role in providing a vague picture about the influence of constructs on internet usage and addiction. During first stage of analysis, the effect of emotional management is not present, during second stage effect of time management is not evident and in third stage of analysis, except the effect of emotional management index no other effect of constructs is found on the internet usage pattern.
Keywords: internet addiction test; IAT; internet addiction; IA; internet gaming disorder; IGD; online cognitive scale; pathological internet use scale; PIUS; internet use scale; emotional/psychological conflict time management; mood management; culture.
The online educational model and drivers for online learning
by Efosa C. Idemudia, Ogechi Adeola, Nubi Achebo
Abstract: The rapid and constant growth of technology, hardware, and software have greatly influenced and improved online education. Universities all over the world are investing huge sums of money in online courses and degree programs. Some universities are offering these programs at all levels of study - from baccalaureate to doctoral. Given the increasing importance of online learning, stakeholders' interests must be considered in designing effective learning environments to improve the acceptance of these programs, to lower their drop-out rates, and to motivate students to complete their studies. To our knowledge, there are no studies that have directly applied the stakeholder theory to online education. To address this issue and contribute to the literature, we developed an online educational model that provides insights and understanding on how to improve and develop online education. The theoretical background for our online educational model is the stakeholder theory. The theoretical and practical implications of our research are discussed.
Keywords: 24/7 access; motivation; self-regulation; robust technology; perceived usefulness; perceived familiarity; perceived ease of use.
Developers' views on the adoption and benefits of software process improvement programs in Canadian software development firms
by Delroy A. Chevers, Gerald G. Grant
Abstract: For decades software developers have struggled in their attempts to deliver high quality software products. Against this background, software process improvement (SPI) programs are viewed as one of the solutions to overcome the problem of delivering low quality software products. This study utilised a two-phase approach to ascertain the state of SPI adoption and the determinants of information systems (IS) quality and success in Canadian software development firms. The study found a moderate adoption rate of SPI programs and it was felt that user training and technical support could positively impact the success of information systems projects. Based on these arguments a proposed research model was presented with the hope of it being validated in future studies.
Keywords: adoption; process maturity; software process improvement; SPI; software development.
Mobile banking acceptance by the customers in Iranian banks
by Seyed Hossein Siadat, Lotfollah Najjar, Navid Nezafati
Abstract: In this research mobile banking acceptance is studied among Iranian banks from the consumer's point of view. To investigate attitude towards use of mobile banking, attitude variables are studied including ease of use, effectiveness, cost, risk, and credit, and trust, compatibility with style, demographic characteristics, social influences, self-efficacy and satisfaction. Therefore, this study builds a comprehensive conceptual model consisting of both attitude and demographic factors. We collected 385 samples from five cities of Iran: Tehran, Mashhad, Bandar-Abbas, Babol and Khorram-Aabad, in the form of electronic and printed questionnaires. The research confirmed all primary assumptions with respect to attitude variables. According to the results, the proposed variables can effectively clarify the acceptance of mobile banking among Iranian customers. Regarding demographic characteristics, effect of gender on mobile banking acceptance is proven, but the effects of age, education and monthly income on mobile banking acceptance are not proven. Compatibility with life style and satisfaction were found to have the highest coefficient correlation among other variables.
Keywords: mobile banking; adoption; mobile banking acceptance; attitude; demographic characteristics.
A rationale for the choice of enterprise architecture method and software technology in a software driven enterprise
by D. Venkatesan, S. Sridhar
Abstract: Enterprise architecture frameworks (EAFs) provide tools and methods to categorise, document and depict interrelationship between enterprise business processes, stakeholders and information classes. It explicitly documents information generation, processing and consumption pattern facilitating communication and management. But there is a confusing variety of EAFs for organisations to choose from. There is no explicit guidance or justifiable rationale available to choose an EAF over others. This paper provides a rationale and attributes based evaluation of popular EAFs and conclude superiority of Zachman framework (ZF) for a software-driven enterprise (SDE). Further, this paper surveys salient aspects of different software technologies and provide an assessment framework to compare them and conclude suitability of agent technology for realising information system infrastructure of an SDE. This work makes a provocative argument that many of the modern EAFs are not suited for an SDE due to their affiliation to software technologies that are found to has several limitations.
Keywords: enterprise architecture; EA; enterprise architecture framework; EAF; business model alignment; BAM; enterprise software; software architecture; model driven development; MDD; system modelling; information systems design; agent technology.
Hierarchically distributed peer-to-peer architecture for load balancing and effective dynamic group scheduling in grid computing
by S. Gomathi, D. Manimegalai
Abstract: The local or remote grid computing resources have been normally assigned the task of executing user jobs in a distributed environment. An important factor affecting grid processing is the network bandwidth that differs from network to network. In order to overcome this problem, a few typical algorithms are suggested keeping in view of computing grid resources based on load balancing across the grid system. These algorithms help in improving the performance to some extent, yet none of them has been found experimentally suitable to overcome the major short falls experienced in the grid computing system. A hierarchically distributed peer-to-peer (HDP2P) architecture is proposed to overcome all major problems encountered due to virtuality and heterogeneity. Results suggested that HDP2P architecture was of great use in balancing the load and allocating to the resources to the groups of jobs keeping MIPS accountability using grouping-based dynamic job scheduling algorithm (GBDJS). The proposed algorithm is compared with first come first served (FCFS) job scheduling algorithm and ant colony optimisation (ACO). There is a considerable improvement achieved in performance by using this novel architecture.
Keywords: grid system; load balancing; job scheduling; performance evaluation; hierarchically distributed peer-to-peer; HDP2P; grouping-based dynamic job scheduling algorithm; GBDJS.
Business health characterisation of listed Indian companies using data mining techniques
by Senthil Arasu Balasubramanian, G.S. Radhakrishna, P. Sridevi, Thamaraiselvan Natarajan
Abstract: The purpose of our study was to predict the business health of listed Indian companies using data mining tools and algorithms called ANN-MLP and DT-QUEST and identify financial ratios that significantly affect the company's performance. We used 2,000 listed Indian companies with 12,000 firm-year records (cases) from 2011 to 2016 to predict the financial performances of the companies and classify them as successful or unsuccessful, based on 17 financial ratios. The final sample of data was divided into training and test set (50:50, 60:40, 70:30 and 80:20). The test results confirmed accuracy between 84% and 86% for the MLP technique and between 92% and 93% for the QUEST technique. Sensitivity analysis results showed that return on long-term fund, net profit margin, and operating margin are three critical variables that affect business health.
Keywords: business health; multilayer perception; sensitivity analysis; decision tree; financial ratios.
Leveraging business competitiveness by adopting cloud computing in Indonesian creative industries
by Yudi Fernando, Syarif Achmad, Anderes Gui
Abstract: The purpose of this study is to identify determinants of the cloud computing adoption in creative industries in Indonesia, and the impact of that adoption on business competitiveness. A theoretical model was developed based on the two complementary models, the technology acceptance model (TAM) and technology-organisation-environment (TOE). An e-survey was conducted among firms that had adopted cloud-computing technology in Indonesia creative industries. This study provides sufficient statistical evidence to infer that perceived usefulness, compatibility, security and privacy, management support and competitive pressure were related to the adoption of cloud computing. Cloud vendors must consider incorporating networks that offer more user friendly and affordable solutions to the market. One factor related user friendliness is that the network must be convenient to use without any issues related to performance. Solutions tied to the cloud should be cost effective for small and medium-sized businesses.
Keywords: cloud computing; adoption; creative industries; competitiveness; Indonesia.