International Journal of Business Information Systems (158 papers in press)
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).
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.
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.
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 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.
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.
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.
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.
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 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 .Bam Bahadur Sinha, R. Dhanalakshmi, V. Saran Chaitanya
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.
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.
Use of mobile wallet among consumers: underlining the role of task-technology fit and network externalities
by Chinmay Baxi, Jayesh D. Patel
Abstract: Research on mobile payments is emerging as a separate research area in information systems. Previous literature indicates that existing theoretical models do not extend the empirical inquiry into technology fitment domain to understand the user behaviour better. Integrating users requirement of technology, with network externalities, risk, trust, and promotion, to check mobile wallet usage of Gujarats users. To empirically test the hypothesised model, a total of 500 samples were collected using online and offline structured survey. Structural equation modelling technique was performed. The findings of the study indicate that all the hypotheses were supported and it has theoretical and managerial implications.
Keywords: mobile wallet; network externality; structural equation modelling; SEM; task-technology fit; TTF.
An Overview of User-Interactions in Exploratory Search: Theoretical Foundations, Techniques, and Research Issues
by Vikram Singh
Abstract: In the 21st century, an individual is enclosed with data plethora, which carries insights and knowledge. Though, to seek relevant objects, a user with uncertain information needs, opportunistically adopt several strategies, e.g., analytical search, search by analogy, etc, to aggregate the knowledge. These exploratory conversations are driven by focused-search and exploratory-browsing. In this paper, a critical study on various aspects of user-interactions in exploratory search is conducted, to trace the trends and the viability of the existing techniques and eventually to uncover the inherent limitations. It is evident that, despite the recent developments, a search task is mainly constrained due to 'insufficient means to specify user-search', 'inability to understand search-intent evolutions' and 'limited support for navigation towards unexplored-data'. The article assert that, proactive modelling of search-intents for automatic data exploration and visualisation are pivotal to deal highlighted issues and be a prospective trend to design the personalised data exploration techniques.
Keywords: Big Data Analytics; Exploratory Search; Human Information Interaction; Interactive Data Exploration; Information Processing; Information Visualization.
Web 2.0 Technologies Adoption Barriers for External Contacts and Participation: A Case Study of Federal Establishment of Africa
by Habib Ullah Khan, J.O.Y. AGBAHAKHOMON ARUYA, Asif Q. Gill
Abstract: Ever since the evolution of Web technology in nineties, the web traffic got subjected to many developments. Web 1.0 and 2.0 are some of the innovations that made the world as a global village and increased the communication among various players in the world. Compared to the former, the latter has more features that opened gates for communication networks across the world. In spite of the sea change that Web 2.0 brought among the federal establishments of Nigeria, full level of adoption is did not occur due to numerous hindrances. The study outcome revealed that majority of the federal establishment does not use the technology for external collaboration. The research also shows that majority of the establishments still use collaboration tools such as letters, telephone and email as means of collaboration with external audience. This is because of the hindrances that are not facilitating the smooth flow of technology adoption.
Keywords: Federal Establishment (FE); Information Technology (IT); Nigeria; Barriers; Information and Communication Technology (ICT); Web Technology; Enterprise Web 2.0.
Sentiment Analysis of Product Reviews using Weighted Distance-based Whale Optimization assisted Deep Belief Network
by Hema Krishnan, Sudheep Elayidom M, Santhanakrishnan T
Abstract: This paper proposes a new sentiment analysis of product review based on intelligent techniques. The proposed model involves six stages: pre-processing, keyword extraction, and its sentiment categorisation, semantic word extraction, semantic similarity checking, feature extraction and classification. Initially, the MongoDB documented tweets are subjected to pre-processing steps like stop word removal, stemming, and blank space removal. Further, the keywords are extracted from the pre-processed tweets. With respect to extracted keywords, the existing semantic words are extracted after categorising the sentiment of keywords. To the next, the semantic similarity score with the keywords is measured. The upcoming stage is the feature extraction, which uses two holoentropy measures like Joint holoentropy, and Cross holoentropy. The classification of the extracted features is done using a deep learning classifier named DBN, in which the optimised activation function is done by WD-WOA. Finally, the enhancement of the proposed model over the conventional models is evaluated through an effective comparative analysis in terms of positive and negative performance measures.
Keywords: Product Reviews; Sentiment Analysis; Pre-processing; Semantic Similarity; Holoentropy; Deep Belief Network; Optimization.
Transforming Supply Chain Network And Logistics Using Blockchain - A Survey
by Sreerakhi V, Balagopal N, Anuraj Mohan
Abstract: The supply chain is the fastest growing sector of business technology. As it grows day by day, the difficulty of handling vast amount of transaction records thus increases. To effectively manage the supply chain, the participants in the system need to record the price, quantity, location, date, and other pertinent details. In addition to that the asymmetric information transfer in the production process, limitations of the quality monitoring, losses from the counterfeit market and the self-interests of supply chain participants are the major challenges affecting the supply chain management system. Even a small change in the production process can have an enormous smash on the financial growth, trust, etc. of the supply chain system. This survey aims to study how the blockchain technology helps supply chain networks to overcome these challenges. This survey discusses the current status of blockchain technology and its potential benefits. This survey also discusses various implementations on blockchain-based supply chain networks and how those implementation frameworks solve the challenges in the traditional supply chain system.
Keywords: Blockchain; Distributed Ledger; Manufacturing Supply Chain; Food Supply Chain; Pharmaceutical Supply Chain.
A new process for mining spatial databases: combining spatial data mining and visual data mining
by Mohammed Midoun, Hafida Belbachir
Abstract: Spatial data mining (SDM) is a complex process of automatic exploration of spatial data. Unlike the SDM process, the visual data mining (VDM) process uses visualization for exploratory purposes at all levels of the knowledge discovery process. In this article, we propose a new process for mining large spatial databases. This consists of combining the process of SDM and VDM in one and the same global approach. On the other hand, we propose, a methodological study, trying to combine the methods of SDM with several techniques of visualization. For each applied SDM method, we use several visualization techniques and compare the performance of these techniques. To validate our approach, two case studies are proposed. The first is to apply the proposed data mining process to the analysis of electoral results in Algeria. The second case study will involve applying the process to urban planning in the Mostaganem department in Algeria.
Keywords: Spatial Data Mining; Visual Data Mining; Geographic Information System; Visual Analytics.
The Antecedents of Tourists Continuous Usage Intention of Self-Service Technology in Taiwan
by Thanh-Binh Phung, Cedric Hsi-Jui Wu
Abstract: Self-service technologies (SSTs) have been widely implemented in tourism and air transport industry. SSTs provide a range of services for customers by changing the way tourists to interact with firms. Despite a growing number of publications about the adoption and usage of SSTs, the literature on the antecedents that influence the use of these SSTs by customers is rather limited. In this research, the authors developed the customer technology acceptance model that based on the TAMs and perceived control to explore the technology acceptance of customers in service. Using data from surveys of tourists in Taiwan (n = 390), the extended theory was tested by using structural equation model methods (SEMs). The results show that tourists are still hesitant to use SSTs because of their feelings regarding risks in SSTs when using SSTs. The findings provide a more comprehensive picture of how to implement self-service technologies strategy for service marketing.
Keywords: Self-service technologies; perceived control; continuous usage intention; customer Satisfaction; Taiwan.
Artificial Intelligence Databases: Turn On Big Data of the SMBs
by Manivanan Pachippan, Prabha Dhandayudam, Balasubramanian Kannan
Abstract: The small and medium businesses are working hard to make sense on the information data that has been collected from network sources and to translate it into tangible results. In fact, the major data growth trends and shifts in information. Big data have coined to generate and extremely more complex to associate in business databases. Most researcher work focuses on the relational database that requires lots of data processing. Thats the reason, artificial intelligence (AI) can achieve input and ability to extend NoSQL document database depending on data type. This research recognises documented MongoDB as real-time access to data stored on various storage platform for all sizes of business. This paper proposed NoSQL-MongoDB model with data shared process embedded with AI and machine learning at the system-level by virtue datasets from the big data analytics. This methodology contributes a narrow view of database management turns on big data challenges for SMBs.
Keywords: Small and Medium Business; Non-Relational; Big Data; NoSQL-MongoDB; Database Management System.
Social Media practices in Indonesian SMEs
by YONG DIRGIATMO, Zarifah Abdullah, Raja Haslinda Raja Mohd Ali
Abstract: This paper explains the importance of understanding the practice of social media in small and medium enterprises (SMEs) in the context of performance enhancement. Data was collected through surveys and in-depth interviews on 220 manufacturing SMEs in the former Surakarta Residency, Central Java Province, Indonesia. Samples are manufacturing SMEs that produce clothing and batik sarongs, furniture and rattan crafts, metal/copper crafts, food and cake industries, leather shoes and bags industries, guitars makers, and herbal medicine industries. Descriptive analysis and qualitative content analysis are used to explain the use of social media by SMEs. The findings indicate that social media are utilised by SMEs to support their business objectives and activities, and have a positive impact on improving company performance both financially and non-financially, although the level of understanding of the benefits of social media use by SMEs is still low.
Keywords: SMEs; social media; firm performance.
Competitive Intelligence Process and Strategic Performance of Banking Sector in Pakistan
by Nadia Hanif, Noman Arshed, Hasan Farid
Abstract: Resource-based view (RBV) and knowledge-based view (KBV) of the firm are the key viewpoints of strategic planning for accomplishment of superior strategic benefits and sustainable competitive advantage via creating valuable competencies. Competitive intelligence (CI) process is a mechanism to achieve superior long-term strategic performance leading to sustainable competitive advantage under the umbrella of RBV and KBV. This study surveyed 200 banking officials from Lahore, Pakistan using the questionnaire which was pre-tested for validity both face and content. The instruments used in the questionnaire successfully converged to desired latent variables entitled as strategic performance, planning and focus, information gathering, analysis, communication, cultural awareness and process structure. The results showed that all the components of CI process significantly affect the strategic performance of the banks. Top management may consider the implementation of formal CI unit as this study concluded a positive significant impact of CI process on strategic performance of banks. In addition, banks top management can organise CI awareness programs which can improve participation of employees at all phases of CI process.
Keywords: Competitive Intelligence Process; Culture and awareness; Process and structure; Strategic benefits; Banking Sector; SEM.
A theory grounded framework of information behaviour of SMEs on Emerging Information Communication Technology (EICT) adoption decision making
by Sunday Chinedu Eze
Abstract: Although studies have made significant efforts to study information behaviour using numerous model and extended ones, many have extrapolated the findings of others as if small and medium enterprises (SMEs) operate in the same way other sectors do. This has slowed down the development of an integrated framework aimed at understanding the information behaviour of SMEs. The paper, examines information behaviour of SMEs by explicitly exploring the determinants of perceived information need for EICT adoption by SMEs, information source selection for EICT adoption by SMEs and factors influencing information sources selection for new ICT adoption by SMEs. Qualitative approach was adopted with the use of unstructured and semi-structured interviews with 20 participants drawn purposeful from Luton directories. The study developed an integrated framework underpinned by the TOE framework and helped identify the critical determinants of perceived information need, information sources selection when the need for EICT arises and factors influencing SMEs information source selection for EICT adoption decision-making.
Keywords: EICT; TOE; information behaviour; SMEs; ICT adoption; decision-making.
Intention to Use Mobile Banking Services: Extended Model
by Abdelbaset Alkhawaldeh, Ali Matar, Mahmoud Al-rdaydeh
Abstract: This research aims to evaluate the factors influencing the use of mobile banking by the customers. The extended model of this study was based on the technology acceptance model (TAM). Concerning this, the current research utilised two constructs of the TAM and integrated three new constructs into the model within mobile-banking context. The survey collected data from 205 mobile users who had their own experiences with mobile banking services provided by private banks in Jordan, these data were analysed using structural equation modelling (SEM). The results of this study demonstrated that perceived ease of use, perceived usefulness, perceived awareness, perceived bank credibility, and reference group influence had a positive impact on the use of mobile banking services by the customers. Banks should take these factors into account to promote positive perceptions of mobile banking to the customers.
Keywords: perceived ease of use; perceived usefulness; perceived awareness; perceived bank credibility; reference group influence.
Predicting Student Performance: A Classification Model Using Machine Learning Algorithms
by Esra’a Alshdaifat, Aisha Zaid, Ala’a Alshdaifat
Abstract: With the increasing availability of educational databases, extraction of interesting patterns and relationships from such data becomes extremely attractive and challenging. Discovering implicit patterns related to student performance is potentially helpful to enhance student achievement. In this paper, a student performance prediction model is generated utilising machine learning algorithms. The central idea is that identifying the dominant features that affect student performance results in generating an effective student performance prediction model. In order to achieve this goal different feature selection approaches are considered. The reported experimental results indicated that the effectiveness of student performance prediction model is significantly affected by the dimensions featured in the considered dataset.
Keywords: Student Performance; Classification; Grade Prediction; Educational data; Pattern Extraction; Feature Selection.
THE ROLE OF COGNITIVE ABSORPTION IN THE EXPERIENCED USERS BEHAVIOR TOWARDS EMAIL ADVERTISEMENTS
by A.K.S. Sukumaran
Abstract: The study provided a theoretical model on the experienced users behaviour towards e-mail advertisements by positing that cognitive absorption is a key determinant of the frequent internet users behavioural belief set consisting of product information, financial rewards and, perceived intrusiveness. The product information and the financial incentives positively influenced the user to respond to the e-mail advertiser. However, perceived intrusiveness did not disturb the response of the experienced user towards the e-mail advertisements, supporting the findings of the previous studies that the experienced online users behaved differently and responded favourably to internet usage as they were more in control with the system.
Keywords: Email advertisements; cognitive absorption; frequent internet users; product information; financial rewards; perceived intrusion.
Underlying Profits and Financial Reporting Quality in Australia
by Indra Abeysekera, Yiru Yang
Abstract: This study examines Australian Securities Exchange (ASX) 200 listed firms that reported underlying profits from years 2009 to 2012 to determine whether the underlying profits reflect accounting-based and market-based financial reporting quality. The panel-data modelling results show that there is no relationship between underlying profits and financial reporting quality. The study finds that underlying profits are positively related to earnings management, suggesting that firms engaging in opportunistic accrual management aggressively report underlying profits. The study contributes to the debates about utility of underlying profits, by empirically informing that underlying profits do not contain value-relevant information for investor decision-making.
Effect of AIS success on performance measures of SMEs: Evidence from Yemen
by Hamood Mohd Al-Hattami, Abdulwahid Ahmed Hashed, Jawahar D. Kabra
Abstract: Performance is the trade and marketing mark for the enterprise. Therefore, it is important to pay attention to the factors that may positively affect performance, including AIS. The major objective of this study is to assess the effect of AIS success on performance measures of Yemeni SMEs. A total of 336 SMEs working exclusively in the industry sector were studied. A questionnaire was prepared and distributed to the owners and managers of SMEs adopting computerised AIS in their industries. The results have supported all study hypotheses. With regard to the main hypothesis, we found that the success of AIS has a positive effect on the performance measures of SMEs. For the sub-hypotheses, we found that the three performance measures in this study (cash flow, net profit, and ROI) were significantly and positively affected by AIS success indicators (information quality, system quality, user satisfaction, and system usage). In conclusion, our study expands the scope of AIS literature. It also assists owners and managers of SMEs to have a clear idea of the positive role of AIS success in enhancing the performance in their industries. Furthermore, those who continue relying on traditional manual accounting methods are encouraged to move to AIS.
Keywords: AIS; success; performance measures; SMEs.
Inspecting the role of Software as a Service (SaaS) in public sector organizations with the extension of technology organization-environment (TOE) framework
by Yanal Kilani
Abstract: This study aims to investigate factors propel use of software as a service in public sector organisation. Therefore, an amalgamated information system (IS) model was developed using TOE framework that underpinned technological, organisational and environmental factors. In addition to that the moderating role of compatibility was tested between intention to adopt software as a service and actual use of software. Structural equation modelling (SEM) approach was used for inferential analysis. Results indicate that altogether technology competency, top management support, awareness, coercive pressure, normative pressure and mimetic pressure explained substantial variance in intention to adopt software as a service. Effect size analysis (f2) revealed that awareness and technology competency were the most influential factors in determining employee intention to adopt software as a service. Finally, it is suggested that managers and policy makers should focus on awareness and compatibility in order to enhance the actual use of software in organisation.
Keywords: Keywords: TOE-Framework; Technological Factor; Organizational Factor; Environmental Factor; Awareness; Compatibility; Structural Equation Modeling.
Regression and Decision Tree Approaches in Predicting the Effort in Resolving Incidents
by Sharon Christa, V. Suma, Uma Mohan Mokashi
Abstract: IT service management plays a key role in software maintenance. Service management offers the customers a platform to raise the incidents that needs to be resolved. This papers is a comprehensive analysis performed on research in the area of production support. Lacunas are identified in different areas of production support services. The necessity of a generalised proactive model that can predict the effort required in closing incident tickets are identified. The paper further presents the scope of integrating machine learning approaches to predict effort in an incident management system of production support. Two different approaches are considered in modelling namely, regression-based and tree-based modelling. In tree-based modelling, basic decision tree and random forest models are used along with multiple linear regression model. In order to build the model, real-time dataset is used. The models are verified using a real-time test dataset. The models being dataset dependent did not generalise and converge well due to which, the possibility of developing other models using different machine learning techniques are discussed.
Keywords: Production Support; Effort Prediction; Decision Tree; Random Forest; Multiple Linear Regression; Incident Management; Tickets; Incident Logs; ITIL; Time to Resolve.
Antecedents and Consequences of Effective Preparation of Financial Statement: An Empirical Research of Listed Companies in Thailand
by Nattawut Tontiset
Abstract: The objective of this research is to examine both antecedent and consequences of effective preparation of financial statement of Thai-listed companies. Accountant capability, accounting information system (AIS) competency, and corporate governance (CG) awareness are assumed to become the antecedents of effective preparation of financial statement. Furthermore, the consequences of effective preparation of financial statement are corporate sustainability. The listed companies in the Stock Exchange of Thailand (SET) are samples of the research. A mail survey procedure via the questionnaire was used for data collection from chief accountant officer. The overall results indicate that accountant capability, AIS competency, and CG awareness have a positive significant effect on effective preparation of financial statement. Moreover, effective preparation of financial statement including both timeliness and understandability has a positive significant effect on corporate sustainability. The results reveal that firm should develop accountant capability, AIS competency, and CG awareness in order to build effective preparation of financial statement and links to corporate sustainability. Overall, the results of this research contribute to both chief accounting officer and accounting practitioner to emphasise on develop and support generating effective preparation of financial statement in order to generate accounting information for making decision.
Keywords: financial reporting reliable; accountant professional ethics; AIS quality; audit committee effectiveness; audit firm quality.
Evaluating Web-Based Brainstorming for Design Thinking in Businesses
by Parag Uma Kosalge, Suzanne Crampton, Ashok Kumar
Abstract: Design thinking is increasingly used in businesses to find and maintain a competitive edge in the marketplace. Brainstorming is a major part of the design thinking process and critical for its success. Web-based brainstorming tools can enable the process beyond the organizational and geographical boundaries, and across time. However, they do not find much mention in the literature. A study of over five hundred users identifies three business areas important for brainstorming, including employee networking, promotions and marketing, and production and operations. Statistical evidence shows no change in user perceptions over the years. This research is one of the few recent academic works that shows a relationship between importance and performance, previously assumed to be independent. For brainstorming web app, the relationship is found to be continuously increasing. The importance-performance analysis framework can also be used as a tool for decision-making by businesses and technology providers of web-based brainstorming.
Keywords: Brainstorming tools; adoption; web apps; importance; performance; design thinking; Information systems; Business.
Product weighted taxonomy extraction using Twitter
by Zaki Malik, Erfan Najmi, Khayyam Hashmi, M. Mustafa Rafique, Abdelmounaam Rezgui
Abstract: Social networks and microblogging Web sites such as Twitter have changed the face of the consumer product market. Nowadays, even before a new product comes to the market, or is to be announced, like at an Apple or Google event, users start the rumors/talk about the product design or specifications, and their expectations of it. With all this discussion, it is not only the product which effects the future success of the product, but various other factors which can directly or indirectly influence the users perspective. In this work, we present an approach to extract the most important concepts related to a product, being discussed on Twitter. We believe that this weighted taxonomy can be used to predict the success of the product even before the official release, and align marketing resources, etc. in a beneficial manner.
Keywords: Social Networks; taxonomy extraction; marketing.
IMPLEMENTATION OF LEAN AND GREEN SUPPLY CHAIN IN MEDIUM SCALE AUTOMOBILE INDUSTRIES USING AHP, VIKOR AND FUZZY VIKOR
by Parthiban Palanisamy, S. N. Sathiya Narayana, R. Dhanalakshmi
Abstract: For several years manufacturing industry has been thriving in India and one among this is automobile industry. Since there is increasing demand, several industries have adopted various techniques to thrive this field. This project concentrates on the implementation of the lean and green supply chain in the medium scale automobile industries. The critical factors are found out based on experts' opinion and inferences through questionnaires sent to the industries. The importance and the levels of the factors are taken from interpretive structural modelling. Using these levels, the critical weights of each factor are obtained through analytic hierarchy process (AHP). The critical weights are used in VIKOR and fuzzy VIKOR, to find out the performance of the industries. The questionnaires are used for obtaining the critical factors and for the input in VIKOR and fuzzy VIKOR to rank the industries and thus further improvements can be made.
Keywords: Lean and Green Supply Chain; AHP; VIKOR; Fuzzy VIKOR.
Data Quality Challenges in Educational Process Mining: Building Process-Oriented Event Logs from Process-Unaware Online Learning Systems
by Rahila Umer, Teo Susnjak, Anuradha Mathrani, Suriadi Suriadi
Abstract: Educational process mining utilizes process-oriented event logs to enable discovery of learning practices that can be used for the learners advantage. However, learning platforms are often process-unaware, therefore do not accurately reflect ongoing learner interactions. We demonstrate how contextually relevant process models can be constructed from process-unaware systems. Using a popular learning management system (Moodle), we have extracted stand-alone activities from the underlying database and formatted it to link the learners data explicitly to process instances (cases). With a running example that describes quiz-taking activities undertaken by students, we describe how learner interactions can be captured to build process-oriented event logs. This article contributes to the fields of learning analytics and education process mining by providing lessons learned on the extraction and conversion of process-unaware data to event logs for the purpose of analysing online education data.
Keywords: Learning analytics; process mining; quiz-taking behaviour; learning management system; education data; process instance; data quality.
A Framework for continuous improvement of the IT acquisition process at Brazilian federal public organisations: An action-research study
by Melquizedequi Cabral Dos Santos, Wylliams Barbosa Santos, Sandro Ronaldo Bezerra Oliveira, Alexandre Marcos Lins De Vasconcelos, Carla Silva
Abstract: Information Technology Acquisition (ITA) is essential to support activities and processes in public and private organisations. In the context of Federal Public Organizations (FPO) in Brazil, the existent norms possess limitations regarding a continuous improvement to the ITA process. The objective of this article is to develop a specific framework that offers support to the managers when they optimise the ITA process, aiming to support them in understanding, managing, and implementing continuous improvement. To reach this objective, three action-research cycles were performed, involving numerous data collections, interventions and improvements. The framework was successfully implanted at a typical public educational organisation, providing benefits such as improvement in satisfaction on the part of stakeholders; reduction in the rate of flaws, return, and rework; better adherence to the ITA process and improvement in the quality of the ITA process.
Keywords: Continuous process improvement; Information technology acquisition; Action-research; Federal public organisations.
Conceptualization for Mobile Commerce Adoption in SMEs: A Perspective of Developing Countries
by Ngoc Tuan Chau, Hepu Deng
Abstract: This paper presents a comprehensive review of the related literature on organizational m-commerce adoption with the use of an iterative methodology for reviewing, analyzing and critically assessing the related literature Such a review leads to the development of a conceptual framework for a best-fit explanation on the critical determinants of m-commerce adoption in small and medium-sized enterprises (SMEs) in the context of developing countries Such a framework can overcome the limitations encountered in the previous organizational m-commerce adoption research It sheds light on four important groups of factors for better understanding the critical determinants for organizational m-commerce adoption, namely technological factors, organizational factors, environmental factors, and managerial factors The study contributes to organizational m-commerce adoption research by extending previous works on organizational m-commerce adoption with the development of a comprehensive conceptual model from the perspective of developing countries for better exploring the critical determinants of m-commerce adoption in SMEs.
Keywords: Critical determinants; Mobile commerce; Technology adoption; SMEs; Developing countries.
Provide a Model for the Success of Information Systems in Sports Organizations
by Mehdi Salimi, Mohsen Tayebi
Abstract: The purpose of this study is to provide a model for the success of information systems in sports organizations. This research is based on the modeling of structural equations based on the conceptual model derived from the DeLon and McLean research. This model consists of 6 variables, system quality, information quality, service quality, intention to use, user satisfaction, and Net benefits, which are derived from Sirsat and Sirsat research. In order to implement the model, the statistical population was comprised of all the staff of the departments of sport of Iran. After data collection, the model constructs were modified using the model of the measurement model. In the final stage and based on the collected data, the conceptual model was implemented that this model had a very bad fit, which after the implementation of necessary reforms, the model of the success of IS in sports organizations was presented and confirmed.
Keywords: Success Model; Information; IS; Sports Organizations; Structural Equation Modeling.
Multi-Criteria Decision Making for Solar Panel Selection Using an Integrated Analytical Hierarchy Process and VIKOR approach: A case study
by Gnanasekaran Sasikumar, A. SIVASANGARI
Abstract: A solar panel forms an integral part of a photovoltaic (PV) system and many works are reported to reduce its material costs with better efficiency. Solar panel for PV system includes both tangible and intangible criteria which affects the selection of suitable solar panel. In this paper, a Multi- Criteria Decision Making approach that includes Analytical Hierarchy Process and VIKOR is developed for the assessment and ranking of solar panels. The AHP method is utilized to fix compromise solution with incommensurable and contradictory criteria, consisting of five potential solar panels and eight selection criteria such as PTC Power Rating, STC Power, Peak efficiency, Temperature Co-efficient, Energy Density, Weight, Quality and Service support are chosen for solar panel selection. The relative importance of all criteria is measured and the Analytic Hierarchy Process method was applied for the calculation of the weights.
Keywords: Solar Panel; Analytical Hierarchy Process; AHP; VIKOR.
Trade Facilitation Framework for E-commerce Platforms using Blockchain
by Omar Alqaryouti, Khaled Shallan
Abstract: Electronic commerce (e-commerce) platforms have revolutionized the international trading business. E-commerce trading market is rapidly expanding over time. This expansion urges exploring the e-commerce trading process to support the continuous growth of this domain. An essential component of this process is how customs administrations manage the cross-border e-commerce trade. In this paper, a blockchain-based framework is proposed. The aim of this framework is to streamline the e-commerce trading process through the use of blockchain technology. This will ease and fulfil the customs administrations duties using advance electronic data that are made available by adopting the inherited features of the blockchain technology. This framework supports the expanding e-commerce market, governs how e-commerce stakeholders transact, and establishes a trust level among these stakeholders. The proposed framework has been evaluated using the System Usability Scale (SUS). The overall SUS results show that the system is highly acceptable by all users categories.
Keywords: E-commerce; Blockchain; Customs Clearance; Customs Refund; Trade Supply Chain; Duty Drawback.
A Taxonomy for Factors Affecting Timely Completion of Information Technology Projects
by Amir Hossein Ghapanchi, Muhammad Ali Sahato
Abstract: Many IT projects suffer from delayed completion. This paper studies factors which impact timely completion of Information Technology (IT) projects. Three Australian IT Projects, i.e. MYKI Smart Card, National Broadband Network (NBN) Australia, and Health SMART Modernization Project, were studied via Qualitative Research. Subsequently, 70 factors affecting timely completion of IT projects were discovered. A taxonomy is then developed, grouping these 70 factors into 12 categories, namely, project planning, communicational pathways, people contribution, unconventional practice, contractual specification, essential evaluation and amendments, delineating execution framework, associated technicality, administrative surveillance, project risk evaluation, employee competence and project delivery assistance. The results have important implications for both researchers and practitioners.
Keywords: Project delay; IT projects; project timely completion; project time management.
Leveraging ICT Investments in Financial Institutions in Oman
by Kamla Ali Al-Busaidi, Saeed Mubarak Al-Muharrami
Abstract: Growth in information and communications technologies (ICTs) has created numerous opportunities for financial sectors worldwide, whose institutions are pivotal in developing financial markets and national as well as global economies and ensuring their economic performance. However, the financial sector continues to face challenges with adopting and using innovative ICT. Thus, the aim of this study was to assess ways to leverage and amplify the success of deploying ICT in Omans financial organisations, by using a technology-organisation-environment model incorporating end-user factors, and the Delphi method to reach a consensus among top business and ICT managers in Omans financial sector. Results indicate that technological and organisational factors have been the most critical, followed by end-user and environmental factors, in leveraging ICT in the financial sector. Accordingly, Omani policymakers should consider taking a similarly integrative perspective to successfully implement ICT in the countrys highly interconnected financial sector.
Keywords: ICT; Financial Institutions; ICT in Oman; TOE; Information and Communication Technologies; ICT Success Factors; ICT; Success Factors; Extended TOE; TOE Model.
Effects of Perceived Risk on Intention to Use Biometrics in Financial Products: Evidence From a Developing Country
by Sandra Patricia Rojas-Berrio, Oscar Robayo, Laura Lorena Soto Beltrán
Abstract: To establish if the usefulness and benefits of biometrics exceed consumers perceived risk, this research assessed the impact of perceived risks on the intention to use biometric technology by consumers of financial products in Bogota, Colombia, adapting the Technology Acceptance Model (TAM). The design includes, first, a qualitative stage with 10 in-depth interviews. Second, a survey was applied to a sample of 410 participants. Results showed users are willing to adopt biometrics in banking if they find it useful and if they have a positive perception regarding the capacity to guarantee transactions and to positively identify the user in the system (risk-free), which are mostly time, convenience and social risks. The findings-conclusions have marketing implications for academic researchers, financial services companies and professionals that take part in the design of this technology, who may propose improvements to the products and streamline management and communication processes aimed at the consumer.
Keywords: biometric technology; consumer behaviour; financial sector; intention to use; perceived risk; Technology Acceptance Model.
The effect of absorptive capacity on innovation: the mediator role of human capital , telecommunications companies (Orange, Zain, Umnia) in Jordan
by Shadi Abualoush
Abstract: The aim of this paper is to test the mediator effect of human capital among the relationship between absorptive capacity on innovation in telecommunications companies (Orange, Zain, Umnia) in Jordan, the approach suggested by Baron and Kenny,(1986) was conducted, in addition to descriptive statistics that provide a background about the respondents. The findings indicate that absorptive capacity relates positively to innovation , human capital emerged as having the strong effects on innovation , Moreover, all absorptive capacity dimensions had positive significant effects on human capital , The results also support the argument that human capital was play mediator role in absorptive capacity and innovation. The present study provides managers with an empirical proof that possessing external knowledge through absorptive capacity seems to help reinforce their ability to innovation. In addition, possessing strong human capital effective will motivate and lead more innovation.
Keywords: absorptive capacity; human capital ; innovation.
CAPTURING NON-FINANCIAL INFORMATION IN INTEGRATED REPORTING
by Tanya Kumar, Theresa Nithila Vincent
Abstract: In the contemporary business scenario, Integrated Reporting is a transformational form of corporate reporting. Integrated reporting provides material and substantial information about an entitys prospects, governance, strategy and actions that serve as a reflection of social and commercial viability within the holistic environment in which it operates (IIRC, 2013). Thus in integrated reports, along with financial information the critical non-financial aspects that affect the reputation, performance and sustainability of the firm are also required to be reported by companies. While regulations are instituted for compulsory divulgence of non-financial information as part of Annual Reports, there is a lot of ambiguity regarding the non-financial items to be included and the manner of reporting. This paper delineates the non-financial capital components for disclosure in integrated reports. It also discusses the current practices of Integrated Reporting world over, which will help organisations gain clarity in presenting the non-financial items under different heads.
Keywords: Integrated Reporting; Non-financial Capital; International Integrated Reporting Council; Global Reporting Initiative.
JomDataMining: Academic Performance and Learning Behavior Dubious Relationship
by P.S. JosephNg
Abstract: This study contemplate the connection between undergraduate learning conduct and their academic performance by utilizing the instructive data mining strategy. Tinto's model and Austin's model are utilized in the study, together with emotional conduct components to define an expectation of the undergraduate academic performance. Respondent's segment data, social polls and their present cumulative grade point average outcomes was gathered utilizing a blended technique for study survey and numerous interviews. Correlational plan will be utilized to interpret the study's learning conduct and their academic performance. The selected samples of this study will be in private learning centre. Positive aftereffect of this study has delineated the connection between students behavior and practices influencing their academic performance. The outcomes from this study enabled more effective classroom planning and conflict avoiding among students.
Keywords: University; Students Academic Performance; Tintos Model; Decision Tree; Data Mining; Prediction of Students Performance; Learning Behaviour; Emotional Behaviour; Educational; CGPA.
THE IMPACT OF BUSINESS INTELLIGENCE IN CRISIS MANAGEMENT THE STRATEGIC VIGILANCE AS AN INTERMEDIARY VARIABLE IN JORDANIAN INSURANCE COMPANIES
by Abdallah M. Obeidat
Abstract: This study aimed to identify the role of strategic vigilance as an intermediary variable in the impact of business intelligence in crisis management in Jordanian insurance companies. This study used the design of quantitative research, where 275 questionnaires were collected from the observers working in Jordanian insurance companies to obtain the necessary data to test the hypotheses of the study. Path analysis was used to test the hypotheses of the study. The findings of the present study revealed that there is a significant impact of business intelligence on crisis management, as well as the impact of business intelligence on strategic vigilance, the presence of strategic vigilance in crisis management, and the impact of business intelligence on strategic vigilance with strategic vigilance as an intermediary variable.
Keywords: Business Intelligence; Strategic Vigilance; Crisis Management; Insurance companies; Jordan.
Determinants of M-Payment Adoption Behaviour in Bangladesh
by Mohammad Osman Gani, Muhammad Intisar Alam, Mohammad Rafiuddin Ahmed, Mohammad Zahedul Alam, Shahin Ahmed Chowdhury
Abstract: Modern technology facilitates mobile payment (m-payment) services throughout the world. M-payment ensures flexibility and convenience in carrying out everyday activities. The study aims to assess the intention of adopting m-payment service, as well as to find out the factors that affect consumer intention considering Dhaka, the capital city of Bangladesh. Descriptive research was developed with a valid sample of 280 respondents through snowball and judgmental sampling methods. Data were collected by an online survey using email and social media platforms. It was found that factors like- convenience, mobile payment knowledge, perceived risk, social influence had a positive and significant influence on consumer intention to adopt m-payment. On the other hand, perceived security had an insignificant influence. This study has a scope to serve as an important stimulus for developing strategies to the marketers that may accelerate the consumer intention to adopt m-payment.
Keywords: m-payment; intention; technology; snowball; judgmental sampling; social media; Bangladesh.
Australian SME Adoption of Cloud Computing. Drivers and Challenges
by Bahjat Fakieh, Peter Busch, Yvette Blount
Abstract: Adopting cloud services may increase opportunities for achieving competitive advantage and improving business outcomes; this is significant to Australian Small and Medium Enterprises (SMEs) that account for 96% of all Australian organizations. This work explored
Keywords: Australia; Challenges; Cloud computing; Drivers; SMEs; Technology Adoption.
Mediating Role of Trust in Internet Banking Acceptance
by Oluyinka Solomon
Abstract: Technology acceptances have been an area of research in different context globally. However, studies on the mediating role of trust in the relationships with the technology factors and internet banking acceptance inadequate. Moreover, component variance analysis with adoption of analysis of moment structures (AMOS) suggested relevant to prediction studies. This study analyzed the mediation role of trust in internet banking acceptance. A quantitative and component factors analysis study, properties in SPSS and AMOS used to analyse a total of 559 bank customers in Nigeria. An initial total of 67% variance achieved in the casual effect and a total of 73% variance explained achieved for the mediation role of trust internet banking, thus, implied that trust contributed a total of 6% variance to the model. Findings in this study may assist practitioners strategies on acceptance of the technology. This study may be replicated in other locations with a different statistical tool.
Keywords: Mediation Trust Technology Internet Banking Variance Analysis.
Towards an improved acceptability assessment model of innovative solutions in the design phase
by Linda Acosta-Salgado, Auguste Rakotondranaivo, Eric BONJOUR
Abstract: The development of innovative solutions that satisfy stakeholder needs and have successful selling is one of the main challenges of design processes. To estimate this success, the assessment of acceptability or acceptance of innovations has been the subject of multiple research studies and has led to different models that mainly concern the acceptance of the new technology in the usage phase. However, with regard to evolution in design, these models do not seem to be adapted. This paper proposes to characterize existing evaluation models by a literature review, reveals unexplored characteristics of acceptability evaluation and provides guidance for future research.
Keywords: Innovation; user-centred design; evaluation; acceptability; Technology Acceptance Model.
Communication in Software Development Teams
by Joyce Aline De Oliveira Marins, Jessica Garcia, Fernanda Trentino, Christiane Nobre, Vanice Cunha, Natalina Hirata, Eunice Nunes, Cristiano Maciel
Abstract: Communication has been a widely studied factor because when performed ineffectively it leads to problems affecting the delivery of products and services to customers. In the context of software development, teams with communication problems are hampered in terms of time, cost and effort, progress of routine actions, and create team conflicts. This study investigates communication in software development teams through an extensive literature review. As a result, we obtained a set of factors classified into barriers and facilitators that affect communication in the software development process. This result is useful for developers and managers looking to improve communication as a strategy to streamline and improve the application development routine.
Keywords: Communication; development teams; human factors.
Determinants for the utilization of Blockchain technologies for Accounting in Kuwait
by Issam A.R. Moghrabi, Kameleddine Benameur
Abstract: This paper investigates the major determinants influencing accountants intentions to utilize blockchain technologies (BCT) in conducting Accounting practices in Kuwait. A variant of the Technology Acceptance Model (TAM) is used to assess the intention to use the technology. A survey based on a sample of 714 accountants and accounting faculty revealed that around 636 have the willingness to adopt BCT in a classroom context. Using hierarchical regression analysis, results reveal that unexpectedly the perceived ease of use does not have the anticipated impact on the intention to use BCT, whereas usefulness, compatibility, subjective norms and attitudes have a direct influence to the intentions to use BCT for academic activities. Findings of the study show that TAM can be customized and used in a non-conventional setting such as BCT. This study is one of the rare attempts to analyze factors influencing accountants adoption of BCT in a developing economy.
Keywords: Technology Acceptance Model (TAM);Blockchain Technologies (BCT); Accounting Information Systems; Kuwait; Regression Analysis.
DEVELOPING INFORMATION SYSTEM/TECHNOLOGY STRATEGY IN SUPPORTING BUSINESS PROCESS: A CASE STUDY OF INSURANCE STATE-OWNED ENTERPRISES
by Dwi Soelistijanto, Hotniar Siringoringo
Abstract: The main goal of this study was to develop an information system/technology strategy in supporting process business in one of a state-owned insurance company. The study was motivated by the fact that company branch offices spread out throughout Indonesia. For this purpose, The Open Group Architecture Framework (TOGAF) was deployed. Considering the nature of the study is a strategy, Ward and Peppard's model was also used. TOGAF was integrated with Ward and Peppard model to find the solution to the current problem and mapping future activities. Some suggestions to company management resulted from the research. Each year from 2020 to 2024 respectively company management should strengthen the main platform and internal capability, implement digitize service, enhancing contribution towards all stakeholders, speed up excellent performance and maintain the business growth and started to expand.
Keywords: Information system; TOGAF; strategic planning; information system architecture; business process; the insurance company.
Designing a Model of Antecedents of Entrepreneurial Orientation and Behaviour (Case Study: Administrative Agencies in Kerman Province)
by Sima Mirkamandar, Malikeh Beheshtifa, Masoud Pourkiani, Ayob Sheikhy
Abstract: This present study aims to design a model of antecedents of entrepreneurial orientation and behaviour in the administrative agencies in Kerman province, Iran. Accordingly, first, antecedents of entrepreneurship were identified through exploratory studies and a survey of those experts in the topic using the Delphi technique, and then, identified antecedents were presented in a model and tested in the target statistical population. In the present study, a model of antecedents of entrepreneurial orientation and behaviour was presented. In the model, three sets of independent variables, including organisational (eight variables), individual (four variables) and environmental factors (six variables), were considered. They are of factors directly affecting entrepreneurial orientation and behaviour. Then, based on this model and the data obtained from the questionnaire, the relationship between the antecedents of entrepreneurship and the entrepreneurial behaviour and orientation were investigated using the structural equation modelling approach. The results show that there is a relationship between antecedents of entrepreneurship and entrepreneurial orientation and behaviour in the administrative agencies in Kerman province. Moreover, there is a relationship between organisational, individual and environmental factors and entrepreneurial orientation and behaviour.
Keywords: Design; Antecedents; Organizational Factors; Individual Factors; Environmental Factors; Entrepreneurial Orientation and Behavior.
Legislative and legal constraints on the use of electronic money: a case study on business organizations
by Zyad Thalji
Abstract: The world has become a small village, we must look at it as the whole. The outlook must be comprehensive, despite its wide geographic scope, different origins, different languages, and different religious doctrines. The world would inhabit one village. From this concept, all economic and trade laws must be consolidated and the legal gaps between all countries of the world should be consolidated and electronic commercial contracts should be consolidated. Standardize electronic payment methods, develop security controls, safeguard the integrity of business transactions, and maintain the confidentiality of data. This study aims to study the legal obstacles and security gaps that limit the use of electronic commerce in the Arab markets and proposes solutions to these obstacles, based on the phenomena of the observations and the information gathered. A questionnaire was made to study these constraints based on four groups: Availability, Confidentiality, Integrity, and Non-repudiation.
Keywords: Electronic Commerce; Legislative; Legal Constraints; Electronic money; Electronic Business.
Analysing Private Universities Websites in Egypt Using Search Engine Optimization (SEO) Tools
by Rehaballah ElBadrawy, Hend Abd El Halim
Abstract: Today, the interest in private universities in Egypt and the competition among them is increasing due to the ever-largest youth population that cannot be fulfilled by the Egyptian public universities. This led many students to enrol in private universities to pursue their university education. Retrieving information about universities, faculties, departments, admission requirements, and tuition fees is vital for both parents and students. One of the frequently used methods that enable web sites to be reached faster is Search Engine Optimization (SEO). The objective of this research is to investigate the SEO level analysis of 19 private universities websites in Egypt using four SEO Automated tools. Then, average score of SEO tools is taken to give the final ranking to universities websites. The final rank was compared with global and Egyptian rank of websites using Alexa and SimilarWeb tools. Websites traffic sources were examined.
Keywords: Search Engine Optimization (SEO); Websites SEO Tools; Website Source Traffic; Website evaluation; Private Universities; Higher Education (HE); Egypt.
Spreadsheets: Risk from the Shadow
by Stojanka Daki?, Lazar Rakovi?, Marton Sakal, Jovica ?urkovi?
Abstract: The aim of the paper was to look into the degree of awareness among end users of the existence of spreadsheet risks A systematic overview of literature resulted in identifying research questions, to which answers were given by analysing data gathered by means of a field survey The research included 161 respondents from Serbia, Macedonia, Montenegro, Bosnia and Herzegovina, Croatia and Slovenia Despite the opinion that spreadsheets are very important for performing their tasks to a significant extent, the respondents think that their use is not combined to a significant extent with risks such as errors, credibility, security, data abuse, poor analysis that may result in making wrong decisions, lack of version control, inadequate qualifications of users, lack of spreadsheet development guidelines, loss of data, breach of legal regulations, and unauthorised access to data.
Keywords: spreadsheet; risk; shadow IT.
Identifying and assessing barriers to information sharing in supply chain
by Farhad Panahifar, Sajjad Shokohyar, Sina Mosafer
Abstract: This paper tries to assess and identify information sharing barriers in supply chains, in particular, automotive sector in Iran. After literature review, the barriers to information sharing were identified and then, using experts opinion and the analytic hierarchy process (AHP) technique, the identified barriers were ranked to determine and choose the significant barriers to information sharing. Next, a framework was proposed using interpretative structural modelling (ISM) to investigate the relationship between the important barriers. Finally, the results were presented in a final model. This study has significant practical implications for organisations as it identifies the main information sharing barriers and their causal relationships. This will help firms in the process of collaboration through information sharing particularly for mitigation strategies for dominant barriers. The present study makes an empirical contribution to the body of knowledge by investigating an integrated framework focusing on information sharing barriers and its impact on firms performance.
Keywords: Supply chain management; Information sharing; Barriers; Automotive industry; Iran.
DYNAMIC PARAMETERS AND ALGORITHM IN PREDICTING BANK TELEMARKETING SUCCESS
by Genesis Sembiring Depari, Theera Prompreing, Kattareeya Prompreing, Jen-peng Huang
Abstract: In order to keep competing in a competitive market, it is important to have an accurate prediction of customers who most likely to buy products or services. Data mining method is one of the useful techniques that experts use to deal with this problem. However, there are a bunch of algorithms that can be employed. The question of which algorithm should be used still a hot issue today. This research aims to find the best machine learning algorithm in predicting telemarketing success, especially for targeting potential customers. We examined eight machine learning algorithms such, deep neural network (deep learning), Naive Bayes, generalised linear model, logistic regression, decision tree, random forest, support vector machine, and gradient boosted tree along with adaptive parameters to each of those 8 algorithms. The results show that, gradient boosted trees outperform the other seven algorithms which achieve 91.3% accuracy.
Keywords: Bank Telemarketing; Machine Learning Algorithm; Random Forest; Gradient Boosted Tree.
Business Analytics Adoption in Firms
by Amit Kumar, Bala Krishnamoorthy, Christine Dlima, Divakar B. Kamath
Abstract: Business analytics leads to reliable and quicker decision making in organisations. However, few organisations can derive significant strategic value from the adoption of business analytics. Business analytics adoption is a complex organisational activity that is influenced by many factors. Therefore, the research on business analytics is of significant relevance to the industry and academic work. Many researchers have studied the adoption of business analytics in organisations using different theoretical perspectives. An analysis of the theoretical models can help in understanding the key themes for business analytics adoption and assist in future research towards extension or integration of theoretical models. Towards this end, scrutiny of research papers for business analytics adoption grounded on the theoretical perspectives of the Resource Based View (RBV), Dynamic Capabilities, and Technology-Organisational-Environmental (TOE) framework is attempted. The key themes emerging from these theoretical perspectives and the significant factors influencing analytics adoption are discussed in this conceptual paper.
Keywords: business analytics; TOE Framework; resource based view; dynamic capabilities; technology adoption.
An insight of Facebook usage by Pakistan-based organizations: An application of netnography approach
by Ashir Ahmed
Abstract: The power of social media to engage with people and generate business value for organizations is indisputable. Although, the existing literature draws some interesting findings on the use of Facebook by Small and Medium, Enterprises (SMEs), there is dearth of literature on the validation of such findings using Facebook metadata. This research aims to examine various aspects of Facebook campaigns of SMEs and their effectiveness in terms of engaging with the customers. The findings of this paper are scaffold into two parts. First, it performed qualitative data analysis to understand the types of posts uploaded by the SMEs. Second, it examined the Facebook metadata to understand the types of responses, their popularity and the correlation among several types of responses. It is anticipated that the findings of this paper would help SMEs to better understand their Facebook campaigns and to better manage their Facebook campaigns in future.
Keywords: Netnography; social media; Facebook; SMEs.
Factors to measure the cloud service quality: a review
by Sanjay Dhingra, Rajesh Agarwal
Abstract: The world is changing at a very rapid pace and drastic scale In today?s digital world, businesses are adopting new technologies and going digital in order to survive, keep the business relevant, compete with the world and shape the future Organizations across all domains are transforming their enterprise data centre to the cloud Cloud offers several advantages to the organizations such as low maintenance, 24X7 uptime and access from any part of the world Cloud service providers claim high performance, high availability, and elastic scalability Cloud computing is still evolving and full of challenges hence it is important to measure the quality of the services provided by different cloud service providers In this paper an attempt is made to find the dimensions of cloud service quality The keys dimensions to measure the cloud service quality have been identified after extensive literature reviews and exploratory interview with cloud business connoisseurs.
Keywords: cloud computing (CC); data centre (DC); transformation; service quality (SQ); quality of service (QoS); infrastructure as a service (IaaS); platform as a service (PaaS); software as a service (SaaS).
TRANSFORMING SAVINGS AND CREDIT COOPERATIVES SOCIETIES IN KENYA USING MOBILE TECHNOLOGY SERVICES
by DAVID MUGO
Abstract: This paper investigated the effect of mobile technologies services on performance of Deposit-Taking Savings and Credit Cooperative Societies (SACCOs) in Kenya. The study was guided by three objectives namely: to determine the effect of mobile banking, internet banking and mobile communication services on performance of Deposit-Taking SACCOs in Kenya. The study adopted positivism philosophy and was based on combination of both descriptive and explanatory research designs. The study used a sample of 86 Deposit-Taking SACCOs drawn from a target population of 110 Deposit-Taking SACCOs that were licensed as at 31st December 2011. Inferential analysis based on multiple linear regression model revealed the existence of statistically significant positive effect of mobile banking, internet banking and mobile communication services on performance of Deposit-Taking SACCOs in Kenya. The study therefore recommends investments and increased utilization of these mobile technology services to enhance both financial and non-financial performance of the SACCO sector.
Keywords: Mobile technology services; mobile banking; internet banking; mobile communication; mobile devices; SACCOs.
HUMAN SIDE OF CYBER SECURITY: AN EMPIRICAL STUDY
by Rajesh Kumar Upadhyay, Anurag Singh, Brij Mohan Singh
Abstract: The purpose of this study to explore the relationship between the human behaviour and their cybersecurity awareness. The research was conducted to collect the response through questionnaire by the professional, students and non-professional at Uttarakhand region, studying and working in educational sector. With this result, we can be implicit that continual efforts especially in personality and human traits to get better information security awareness. This study contributes to personality traits and their impact on cybersecurity. The study suggests the managerial as well as theoretical implications on the basis of the findings.
Keywords: Cyber Security; Personality; Human Behavior.
MACHINE LEARNING COMBATING DOS AND DDOS ATTACKS
by Shweta Paliwal, Vishal Bharti, Amit Kumar Mishra
Abstract: Today the technology is booming at a breakneck speed as so the need of security. Vulnerabilities in the layers of the OSI model and the networks are paving new ways to intruders and hackers to steal the confidential information. Security attacks denial of service (DOS) and distributed denial of service (DDOS) are occurring at a high pace with the help of internet of things as several devices are connected together unprotected in nature and are not monitored for a longer duration. Intruders are initiating more and more complex forms of attacks in order to bypass the known security measures. Application layer is most prone to the DOS and DDOS attack and intruders targets high profile organisations for launching the attacks. Hypertext transfer protocol (HTTP) is the protocol which is vulnerable to the security attacks launched by the intruders as high volume of HTTP traffic is handled by the data centres, thus creating a perfect room for launch of DOS and DDOS attack. This paper presents a review of machine learning algorithms that have been developed for the detection and prevention against DOS and DDOS attacks.
Keywords: DOS; DDOS; Machine Learning; HTTP.
Selection of Goals with Incomplete Linguistic Preference Relations
by Mohd Sadiq
Abstract: In goal oriented requirements elicitation process (GOREP), the requirements of the stakeholders are refined and decomposed using AND/OR graph. Goal is a high level objective of a company which is refined and decomposed into sub-goals. After refinement and decomposition, a system may have several goals and it is not possible to implement all goals because of the time, budget, and other constraints of an organisation. It is a primarily research issue that how to select those goals that would be designed, implemented and tested during different phases of the software development process. On the basis of our review, we found that there is no support for the selection of goals in GOREP when preference relations are incomplete and the preferences of the decision makers are represented by linguistic variables. Therefore, to address this research issue, we present a method for goal selection when linguistic preference relations are incomplete. Proposed method was applied to select the goals of the institute examination system.
Keywords: software goal selection; decision making process; institute examination system; incomplete linguistic preference relations.
Environmental and Organisational Factors Affecting the Adoption of Enterprise Resource Planning Systems in the Jordanian Banking Sector
by Mohammad Bany Baker, Zaid Jaradat, Mohannad Al Shbail
Abstract: In this paper, a framework is proposed to determine the major factors affecting the adoption of Enterprise Resource Planning (ERP) system in the banking sector. The proposed framework is developed based on the technology organisation environment (TOE) theory. The study sample, comprising of managers and head of departments, numbering 150, were distributed questionnaire copies in 13 banks using the ERP system. According to the findings, top management support, organisation culture, policies and competitive pressure are the factors that significantly influenced the ERP system adoption among the examined banks. The findings also showed that the adoption of ERP improves the performance of banks. In addition, organisation culture, policies and competitive pressure factors improve the performance of banks through their influence on ERP system adoption. The framework is expected to serve as guidance to banks in the promotion and facilitation of the top factors that need addressing for the ERP system adoption.
Keywords: enterprise resource planning; ERP; organisational factors; environmental factors; banking sector.
The Role of Using Big Data in Predicting Customer Behavior: The Intermediary Role of Business Intelligence in Jordanian Telecommunications Companies (A Field Study).
by Amineh Khaddam, Raed Khrisat, Mohammed Abusweilem
Abstract: The aim of study is to investigate the role of big data in predicting customer behaviour and the intermediate role of business intelligence in the Jordanian telecom companies. In order to achieve the objectives of this study, the questionnaire was developed to collect data in a random stratified manner on a sample of (168) employees working in the senior and middle management of the heads of departments in the Jordanian telecommunication companies (Zain, Orange&Umniah). The study hypotheses were selected using descriptive and analytical statistical methods using (Amos) programs. The study found that there is an indirect effect of the big data dimensions combined in predicting the behaviour of the customer with the presence of business intelligence as an intermediate variable for the Jordanian telecom companies.
Keywords: Big Data; Customer Behavior; Business Intelligence; Jordanian Telecommunications.