International Journal of Services Technology and Management (90 papers in press)
Special Issue on: Service-oriented Software Architecture and Assessment in the Future IOT Environment
by Ling-Lang Tang, Ya-wen Chan, Sheng-Lun Shen
Abstract: Information technology has developed rapidly in the past decades, in particular the use of service-oriented architectures, which have been widely adopted in Taiwans healthcare industry. Radio-frequency identification (RFID) is one of the most widely applied new technologies. Using the unified theory of acceptance and use of technology model, this study investigated the effect of perceived security (PS) and privacy concerns (PC) on health professionals RFID usage behaviour (UB), and the effect of UB on organisational performance (OP). A questionnaire survey was used and 410 valid questionnaires were returned. The results of path analysis revealed that performance expectancy (PE), effort expectancy (EE), social influence, and facilitating conditions (FC) exert a significantly positive influence on UB; PS has a significantly positive effect on PE and PC; and UB exerts a significantly positive influence on OP. Different demographic variables also moderated the effect of PE, EE, and FC on RFID UB.
Keywords: healthcare; unified theory of acceptance and use of technology; radio-frequency identification (RFID); service-oriented architecture.
A Study on Medical Information Leakage Protection to Construct A Trustworthy Medical Service Oriented Architecture in IoT Environment: Case Study of Medical Tour Service in the South Korea
by Gwangmin Park, Hangbae Chang
Abstract: Many nations have been developing medical tour industry as a new growth engines. The South Korea is becoming a major medical tour country with medical service of developed country level and competitive price in Asia. However, the data breaches targeting medical institutions are occurring constantly. So, there are threats about information leakage of IT medical tour system. If there are information leakage of foreign patients, it would be harmful influence in developing South Korea's medical tour. Therefore, this paper will deal with a legal, managerial and technical way that can prevent information leakage of foreign patients in the future IoT Environment.
Keywords: Medical Tour; Medical Information; Foreign Patients; Medical Laws; IT Medical Tour System.
A Position Revision Method by Path-loss Factor in Wireless Sensor Node Deployment
by Myungnam Bae, Jaehak Yu, Inhwan Lee, Yang Sun Lee
Abstract: In this paper, we propose a position revision of sensor node that utilizes the geo-spatial information and considers the path-loss factors to reveal the radio propagation loss interfered with the major urban obstacles. First, we measure the propagation path loss about the radio frequencies in the target street of the urban, and define the correlation between the measurements and the geo-spatial characteristics for the street and its surrounding obstacle get from the geographic information system. Secondly, through the use of the correlation, we describes the detailed instruction for required to determine the radio coverage and the reliable deployment plan of the wireless node in the core area of urban. By the consideration of them, we can evaluate the communication reliability below 5dB RMS error. And, our study can be utilized as the way to revise the deployment plan based on the path loss and can be apply to the power conservation stragegy of the entire networks through transmission power adaption that is reconfigure relative to a received power.
Keywords: Path-loss; Node Deployment; Wireless Sensor Network; Geospatial Information; path-loss coefficient.
SaaS level Database Integration in Cloud Environment through Database as a Service
by Trushna Parida, Sanjukta Pal, Anirban Sarkar
Abstract: SaaS level database integration is trends to provide the integrated view of the cloud databases through the services. Till now data collection from the heterogeneous cloud databases through the reusable shared services, within a minimum time span and with the flexible and scalable computational support, are the challenging issues. So, limitations during service level database integration ranges from flexibility, scalability, data availability within less overhead, maximum service reusability as well as data reusability and handling data heterogeneity. For providing the logical integrated view of cloud databases, the most important task is data delivery. This data delivery can be performed through Database as a Service or DBaaS realization in a self-service mode. But, here Application services are considered as the user interface provider to deliver some extra facilities like flexibility, scalability, handling heterogeneity regarding implementation issues. In this paper, a graphical model for SaaS level database integration (SLDI) has been proposed. The proposed model is useful towards realization of various database Integration approaches through services. In this context, several important quality metrics like integration complexity, degree of consistency, degree of availability and degree of partitioning tolerance also have been defined over the proposed model. The proposed model is able to proof the compatibility of CAP theorem through the empirical evaluation. Except those, the proposed database integration approach also able to handle data heterogeneity through service reusability as well as data reusability in presence of scalability, flexibility.
Keywords: DBaaS; Application Service; Data Service; Orchestration based integration; Choreography based integration; Query evaluation time.
Feature Models as Service Contracts in Service Oriented Architecture
by Akram Kamoun, Mohamed Hadj Kacem, Ahmed Hadj Kacem, Khalil Drira
Abstract: The service contract is one of the fundamental design principles in the Service Oriented Architecture (SOA). Its goal is to express the features (e.g., services and capabilities) of Service Providers (SPs) so Service Consumers (SCs) can identify them to communicate correctly. The two most known service contracts in the literature are: WSDL for SOAP and WADL for REST. We identify that these service contracts suffer from several problems (e.g., they only allow expressing a limited set of features). Also, we notice from the literature a lack of service contracts dedicated for SC. In order to overcome these problems, we propose two Features Models (FMs) based on SOA design patterns that can be considered as generic and formal service contracts for SP and SC. We propose extensions to the Feature MetaModel (FMM) and semantic constraints that ensure generating fully functional, valid, customized and consistent SPs and SCs from the proposed FMs.
Keywords: Service oriented architecture; Service contract; Service provider and service consumer; Software product line; Feature model; Design pattern.
Identity Evaluation of Moving Vehicles Tracking using Hue and Slope Value on Wireless Sensor Network
by Ki-Hong Park, Yoon-Ho Kim
Abstract: Moving vehicle detection is a very important task in intelligent transportation system and video surveillance system. In this paper, we proposed the identity evaluation method for checking on whether or not the same vehicle as time progresses. The proposed method is composed of background/foreground, the moving vehicle detection with color-based shadow removal, and the tracking process. To verify the identity evaluation, we adopt the moving vehicle features including the hue value, a slope of moving distance and the movement factor. Some experiments are conducted so as to verify the proposed algorithm, and as a result, the identity evaluation of moving vehicles is well detected and tracked with a unique value of moving vehicle features.
Keywords: identity evaluation; moving vehicle tracking; moving vehicle features; gaussian mixture model; GMM; shadow detection; shadow removal; HSI; hue value; wireless sensor network.
The five-year effects of physical activity and sedentary behaviour on chronic disease morbidity of Chinese adults
by Qing Wei
Abstract: Chronic diseases are long-lasting and slow-progressing conditions that can be controlled but not cured. Physical activity and sedentary behaviour are risk factors for the major chronic diseases that account for most deaths in developed countries and are increasing rampantly in newly industrialized nations. In this paper, the five-year effects of physical activity and sedentary behaviour on the morbidity of five kinds of chronic diseases in Chinese adults aged 1855 years are examined using statistical analysis with the China Health and Nutrition Survey data. Cohort study demonstrates that completing more than 280 metabolic equivalent (MET) hours a week of physical activity can significantly reduce the risk of diabetes, whereas having more than 14 hours a week of sedentary behaviour during leisure time can increase the risk of suffering from hypertension, and having more than 28 hours a week can increase the risk of suffering from diabetes.
Keywords: physical activity; sedentary; chronic diseases; morbidity; Chinese adult; CHNS; hypertension; diabetes; myocardial infarction; apoplexy; bone fracture.
A Study on the Computational Thinking based SW Education and Problem Solving Related Procedures
by Jungin Kwon
Abstract: The purpose of this research is to study the relevance of key concepts and step-by-step problem-solving process of Computational Thinking. After the computing thinking developed based SW for non-major subjects for the study was carried out 16 weeks based on Computational Thinking SW based education. Based on the survey, since the problem-solving process was examined whether the need for Computational Thinking concept. Results, analysis of data to understand the problem, the choice of algorithms and procedures, and best practice in the design of automated solutions to problems that have showed the highest influence. I hope the study enabled on the Application of Computational Thinking of the nine core elements in order to improve the problem solving skills of learners based on the findings of the study.
Keywords: Computational Thinking; SW Education; Problem Solving ; Factor Analysis; Correlation Analysis; Hierarchical Regression Analysis.
Discovering Objects and Services in Context-aware IoT Environments
by Wei Wang, Kevin Lee, David Murray, Jian Guo
Abstract: The future IoT is expected to connect trillions of objects across infrastructures and domains worldwide. Compared to traditional web applications, the context of objects, such as dynamic object property values, may rapidly change. Browsing web pages with hyperlinks is unsuitable for representing and discovering the dynamic state of objects and services in the IoT, as the dynamic context is less keyword-rich than the relatively static contents on traditional Web pages. This paper reviews state-of-the-art in discovery in the current IoT, and analyzes the constraints. This paper also proposes a discovery mechanism, which is extended from previous work GGIoT. The proposed discovery mechanism is aware of dynamic context change in the IoT, and can improve the discovery process using automation.
Keywords: Internet of Things; IoT; discovery; dynamic property; ontology.
Analysing Prior Research to Improve Business Performance in the IoT Industry.
by Soo-Young Kim, Gyu-Don Lee, Sang-Jin Lee
Abstract: The development of information and computer technology (ICT) leads to a hyper-connected society in which humans and things are connected to one another over networks. Accordingly, information technology (IT) firms are gradually incorporating Machine to Machine (M2M), the Internet of Things (IoT) and the Internet of Everything (IoE). Under these circumstances, IT firms strive to manage uncertainty and rapidly changing environments and optimise performance. The growing IoT industry forces IT firms to innovate to survive. Therefore, this study attempts to identify the main factors facilitating business performance by analysing prior studies. This study demonstrates that IT firms non-financial performance outweighs their financial performance. In particular, it emphasises that value orientation, adaptive selling behaviour and organisational citizenship behaviour are the key factors influencing the non-financial performance of IT firms. This study reviews the literature on the business performance of IT firms in the IoT industry, which would help researchers studying IoT.
Keywords: Business Performance; Value Oriented; Adaptive Selling; Transformational Leadership; Organisational Citizenship Behaviour.
Knowledge-based service oriented architecture for automotive product development: South East Asia scenario
by A.M. Jakin, M.N.M. Fakir, F.R.M. Romlay
Abstract: This paper presents an application of knowledge-based service oriented architecture (SOA) systems for complex engineering design problems. A knowledge-based design approach integrates all aspects of product design, manufacturing tools and a powerful decision-making for reducing the time between product conception and final production. Knowledge-based SOA is able to provide a substantial impact to the product development cycle especially for automotive part manufacturers who their product cycles are quite short. The approach is applied for a number of automotive part manufacturers. The results show an improvement on product cycle time and expert skill management. The specification of the products are improved and obtained at a competitive cost. This will be a great value added to the manufacturers to sustain in their business.
Keywords: knowledge-based; cycle time; expert skill; service oriented architecture; automotive product.
Human values and technology readiness: The mediating role of consumer perceived value
by christopher white, Adela McMurray, Pri Rudito
Abstract: Despite the wide use of the values-attitude-behaviour model in business and social science research, there is a paucity of current research showing how individual values influence an individuals readiness to adopt technology in non-western countries. We address this deficiency by conducting an empirical study in the Indonesian telecommunication industry. Technology readiness was conceptualized as a conative construct, because of its energizing or striving content and was therefore considered a suitable outcome variable. We proposed that the attitudinal component, consumer perceived value, would mediate the relationship between personal values and technology readiness and this was fully supported. All personal values had a significant in-direct impact on technology readiness and a significant positive effect on all consumer perceived value dimensions. Assumptions based on early value frameworks relating to new technology acceptance are challenged and managerial implications are discussed.
Keywords: Values, Consumer Perceived Value, Technology Readiness, Indonesia
Distinguishing aggregate air travel demand from air passenger volume in China: based on the partial adjustment theory
by yingxiao zhou, peng zhao
Abstract: Air travel demand estimation is vital for airlines and governmen
Keywords: air travel demand estimation, air travel volume, partial adjustment theory.
A decision-making model for the application of the new service system structure based on front-back stage decoupling into nature-based tourism district
by Jue Chen, Jing Wang
Abstract: Based on the understanding that some of the common problems found in nature-based tourism districts including inefficiency in resource utilization, environmental pollution, and poor service quality, are closely related to the imbalance in the frontback stage structure of the entire tourism service system, this paper proposes a new system structure of tourism district based on front-back stage decoupling to solve these problems. Given that the new structure cannot be universally suitable for tourism districts of various natures, a decision-making model based on a comprehensive cost analysis is then provided to support the decision of whether or not to apply the new system structure into a tourism district. It compares the environmental quality costs with service provision costs of the new system structure and the traditional one, and then deduces the required minimum quantity of the Standard Business Units (SBUs) needed, which finally leads to the decision-making.
Keywords: Service System decoupling, Front and back stage, Tourism district, Shared service centers
Application of project quality management to increase the successful rate of car project : A case study in China
by Na Cao
Abstract: Along with Chinese automobile industry booming development, the car models are updated quickly to adapt to the fierce competition condition. With the rapidly upgrading of car models, to increase the successful rate of car project becomes more important, that is, to ensure the products quality at the same time assurance of the update schedule, to reduce the delay or even failure due to the quality problems of car project. The case of quality management in Beijing Mercedes Benz C-Class car project was studied. The quality planning, quality assurance and quality control were studied in the implementation process of project quality management, using advanced project management theory and methods. The results showed that introducing project quality management system in the car project could effectively improve the products quality and enhance customer satisfaction. It could provide certain reference for the quality management of new car development project.
Keywords: quality management; quality assurance;quality control; project management; project quality management system;.
Effect of regulatory focus orientation and its mechanism on the justice sense of employees
by Na Cao
Abstract: In an organization, the sense of justice has a significant influence on employees performance. And the study of justice is bound to involve individual information processing and value evaluation of the organization. The regulatory focus theory describes different individual regulates his attitude and behaviors to fit the target. So, it is necessary to investigate the relationship between regulatory focus theory and the justice sense of employee. The influence of regulatory focus theory on the sense of justice, and the influencing factors of regulatory focus were explored in this paper. This study showed that the regulatory focus of individual could be stimulated by changing self-explanatory, so as to improve the sense of distributive justice. And the sense of justice is the important factor of many important organizational behavior. This research would provide some practical reference for the motivation of employees performance and provide a new perspective for organizational behavior study.
Keywords: regulatory focus theory; sense of justice; self-regulation; self-explanation；employee’s performance.
IT Governance from the Operational Perspective A Study of IT Governance Strategies Applied within Maintenance Management
by Mirka Kans
Abstract: This paper investigates the existence and effects of different IT governance strategies on the operative level of manufacturing industries. Several studies do exist of IT governance strategies, but few address the operational level and the effects of the governance strategy on the business unit. Furthermore, a novel way to study the area of IT governance is applied: The study is based on a mixed research method including statistical analysis of questionnaire data and a qualitative analysis of interview material. The operational business unit that is being studied is maintenance and its management. Several types of IT governance strategies existed within this business unit according to the study, and the decentralised was the most common. The different strategies had both a positive and negative impact on the business unit, but the federal IT governance strategy seems to overcome some of the problems in the others. The study shows that it is possible to describe effects of an IT governance strategy on the operational level by the use of the qualitative approach of story-telling. It also indicates that there might be other characteristics worth testing than the ones used in this study, for instance the size of the business unit.
Keywords: IT governance; systems ownership; IT investment; IT procurement; industrial operations; maintenance management; maintenance IT support
Smart Cities in Canada: An Examination of Progress and Impediments in Halifax, Canada
by Jeffrey P. Roy
Abstract: Driven by globalization, urbanization, and virtualization, over the past two decades the world has witnessed the rise of the notion of a smart city. The essence of a smart city is bettering local governance and improving collective outcomes via a complex set of inter-related technological and human capacities for learning, innovation and adaptation. The purpose of this article is to examine the emergence of one aspiring smart city in Canada and the production and distribution of new governance processes with a specific focus in the evolving efforts of local government in orchestrating such processes. Our primary focus is to better understand the tensions between traditional government on the one hand and emergent Gov 2.0 capacities on the other hand. With the long term success of Halifax as a smart city dependent upon a more digital and participative form of democratic governance, we aim to derive from this case some important lessons learned regarding the opportunities and barriers confronting local governments engaged in this transformational endeavour.
Keywords: Government; Governance; Smart; Technology; Digital; Internet; Participation; Engagement; Community; Adaptation
The challenge of incorporating smart city activities in medium-size cities: the case of Greece
by Harry Coccossis, Pavlos-Marinos Delladetsimas, Spyros Niavis
Abstract: Although smart city initiatives are advancing and multiplying at a global scale, there are still significant challenges to be addressed if the smart process is to constitute a holistic analytical and policy driving notion. A major challenge affecting the potential of a smart city project in achieving local community expectations is the extent to which local communities are involved not only in the planning, but also in the implementation, monitoring and evaluation phases (or, to put it differently, in the coproduction process). There is a need for a co-smartisation process to evolve. By adopting co-smartisation processes local authorities could overcome more easily any barriers or potential barriers, which might arise throughout the lifetime of smart projects. The present paper provides a general analytical and policy framework for this co-smartisation process to be implemented successfully. Attention is given to medium-size cities as the risks associated with smart city projects in such cities are higher due to such factors as limited operational, managerial and cooperation capacity. Trikala and Heraklion, two Greek medium-size cities, are used as case studies in order to illustrate potential strategies for consolidating the participation of local communities in smart projects at the medium-size city level in the southern European regional context.
Keywords: Smart City; Co-smartisation; Risks; Greece; Urban Planning; Medium Size Cities; Sustainability; Heraklion; Trikala.
Information Communications Technology (ICT) Penetration and Stock Markets - Growth Nexus: From Cross Country Panel evidence
by Rudra P. Pradhan, Girijasankar Mallik, Tapan P. Bagchi, Manoranjan Sharma
Abstract: The study assesses the long run and causal relationship amongst three variables, namely, ICT penetration, stock markets development, and per capita economic growth in the Emerging and Growth-leading Economies (EAGLEs) as evidenced between 1988 and 2012. Using panel cointegration technique, this study found that the variables under study are cointegrated and there exists a long run relationship among these variables. Furthermore, using vector error correction modelling (VECM) technique and Granger Causality this study found that Granger causality exists among these variables both in the short run and in the long run although the exact nature of the results vary for the select ICT penetration indicators in use within the EAGLEs.
Keywords: ICT penetration; stock markets development; per capita economic growth; panel VECM.
Evaluation Factors in Successful Global Selective Outsourcing Operations
by Anne-Maarit Majanoja, Linnéa Linko, Ville Leppänen
Abstract: Selective outsourcing requires critical strategic decision-making about the interactions between the service-purchasing company and the supplier at the operational level. Therefore, it is important to detect possible non-conformances to mitigate them efficiently in a timely manner. However, few previous studies have dealt with success at the operational level or the factors used to evaluate a global selective outsourcing situation. We defined a set of evaluation factors based on our review of the relevant literature. This paper aims to examine the quality of operational practices in the following units of Nokia Devices: the information technology (IT) unit; the logistics delivery quality (DQ) unit; and the corrective action preventive action (CAPA) unit. These case units selectively outsourced their IT service and insurance claims management activities. Action research, interviews and surveys were used to collect data. We analysed the case units operations and identified new operational-level indicators and interdependences to identify the success of their outsourcing-based operations. The findings of our study contribute new knowledge about selective outsourcing at the operational level, which could be exploited by other global selective outsourcing projects.
Keywords: Selective Outsourcing Success Factors;; IT Services; Logistics and Insurance Delivery Quality; Operation Development; Quality Management.
The Effects of Sign Value of Travel Blogs on Travellers Motivation, Negotiation and Intention to Travel
by Wee-Kheng Tan, Chia-Yu Kuo
Abstract: Sign value is significant in its information multiplier effect. However, few studies on sign value offered by tourism information are available. This study focused on the effect of sign meaning of tourism information provided by travel blogs on leisure negotiation mechanism, i.e. whether sign value assists information seekers to enforce motivation, initiate leisure negotiation to overcome obstacles and contribute to overseas leisure travel intention. Partial least squares analysis showed that sign value enforces motivation and intention but cannot initiate negotiation strategies. The nature of travel blogs is conducive for tourism information to provide sign meaning to the information seekers. This study added to the literature in the behaviour of tourism information search that centred on travel blog and leisure negotiation mechanism, and suggested that destination marketing organisations and bloggers could enhance their offer of service and symbiotic mutualistic relationship by working together to provide sign-rich information to their potential visitors/readers.
Keywords: travel blog; sign value; information search; leisure negotiation mechanism.
From top-down land use planning intelligence to bottom-up stakeholder engagement for smart cities a case study: DECUMANUS service products
by David Ludlow, Zaheer Khan, Kamran Soomro, Mattia Marconcini, Roberto San Jose, Philippe Malcorps, Maria Lemper, Juan Luis Perez, Annekatrin Metz
Abstract: Intelligence delivered by Earth Observation (EO) satellites performs a vital role in supporting ICT enabled urban governance and the development of decision making tools delivering integrated urban planning. This paper reviews the DECUMANUS project experience, detailing the development of the EO derived tools, and providing evaluation of the service products developed to facilitate the deployment of top-down expertise in land use planning decision making. The central purpose of the paper is to assess the potential for use of these DECUMANUS high resolution EO images and data, developed primarily to support top-down expert led integrated urban planning, also to drive applications supporting bottom-up participatory planning, promoting co-design and innovation in a smart city governance process. Based on the DECUMANUS experience, and wider experience derived from a number of EU Smart City governance innovation projects, it is concluded that: i) EO derived images and associated data offer great opportunity to deliver top-down decision making tools, which in combination with additional auxiliary in situ data, including participatory sensing data, effectively support integrated urban planning and ii) EO derived images also offer substantial potential as communication tools essential to the decision making process, enabling citizens to make more informed and responsible choices and participate in co-designed and innovative urban planning.
Keywords: Earth Observation data; top-down integrated urban governance; bottom-up stakeholder participation; co-creation and innovation.
BRAZILIAN NEWSPAPER MANAGEMENT ON THE INTERNET: A STUDY ABOUT ACCEPTANCE, IMPACTS, AND OPPORTUNITIES IN THE DIGITAL ENVIRONMENT
by Renato Fonseca Alves De Andrade, Carlos Roberto Camello Lima, Fernando Antonio De Melo Pereira
Abstract: The objective of this research was to define and evaluate the threats and opportunities of digital media pose to traditional print media, from the perspective of journalists and readers with regards to the future of the press. The research took the form of an online survey, which produced two databases, one for journalists and one for readers. A variety of analysis techniques were applied, like exploratory factorial analysis and multiple regression. From readers perspective, three dimensions influence the use of the web for reading news: the practicality of the platform, the knowledge of the technology and external influence. For journalists, the use of language, the layout, the process of migration from the printed word to the internet, and the advantages over competitors are the determining factors for digital media becoming the primary source of income for traditional print media companies.
Keywords: Digital media; Web publicity; Innovation Diffusion Theory; Resource Based View.
Chinese university students perceptions of ecotourism
by Ming Ming Su, Geoffrey Wall
Abstract: The concept and practices of ecotourism have been widely discussed since the term was created. Current understanding of ecotourism has been primarily rooted in western ideology and values. When transported to a different culture, equivalency of meaning is difficult to establish. With a growing interest in ecotourism research and practices in China, scholars have argued that the concept of ecotourism has distinctive connotations in China. Using a questionnaire survey and focus group discussions with university students, it is shown that while an emphasis on natural environments and respect for their use is widely accepted, Chinese informants assigned greater importance to culture, were more inclined to reject a dualism between humans and nature, and gave more priority to health outcomes than is common in the west. On the other hand, they were more tolerant of mass use and were less likely to recognize the need for local benefits and empowerment. This study generates valuable insights on the future development ecotourism in China.
Keywords: ecotourism; perception; mixed method; university students; China.
An adaptive load management service in federated cloud platforms
by Peng Xiao, Yongjian Li
Abstract: Recently, cloud platforms have become a promising distributed paradigm for providing flexible computing capability to various high-end applications. Unfortunately, traditionally load management service can not meet the requirements of cloud platforms due to its elastic resource provision characteristic, which is especially true in federated clouds. In this paper, we present a novel adaptive load management service which applies the Fuzzy Inference Model to implement the load-dispatching rules. In this way, we can quantitatively describe the highly nonlinear workload patterns through a small number of simple rules and then make robust load-dispatching decisions. Extensive experiments are conducted in a campus-oriented federated cloud platform to investigate the effectiveness and performance of the proposed load management service, and the results indicate that it can precisely capture the runtime characteristics of workloads and significantly improve the performance of load management service in large-scale cloud environments.
Keywords: cloud computing; resource virtualization; virtual machine; scheduling algorithm.
Interactivity, engagement, trust, purchase intention and word-of-mouth: A moderated mediation study
by Shu-Hsien Liao, Yu-Chun Chung
Abstract: This paper presents a model of influence of interactivity and engagement on hotel customers purchase intention and word-of-mouth by simultaneously including trust as a mediator, analyzes the direct and indirect effects among these constructs, and examines the moderated mediation effect of brand loyalty. In the proposed model, purchase intention and word-of-mouth are indirectly affected by interactivity and engagement respectively in the hospitality industry, via the mediation of trust. Besides, the indirect effect of interactivity on purchase intention, and engagement on word-of-mouth through trust will be stronger with higher brand loyalty than for those with lower brand loyalty. Empirical testing using a survey of 408 Taiwan consumers in hospitality and tourism confirms our hypothesized effects. Finally, managerial implications and limitations of our findings are discussed.
Keywords: interactivity; engagement; trust; purchase intention; word-of-mouth; brand loyalty; moderated mediation; fan page; Facebook; social media; tourism; hospitality.
Technological Competency Assessment
by Ercan Oztemel, Semih Ozel
Abstract: Technological competency assessment has become one of the most important issues in Small and Medium Sized Enterprises (SMEs), particularly in manufacturing industry. The main motivation for assessing the technological infrastructure of an enterprise as a corporate competency is that it provides a faster and higher quality presentation of products and services through the discovery and utilization of technological knowledge. Since, assessing the technological competency of SMEs will bring about various benefits not only to the respective enterprises but also to fund providers and country as a whole. Competency measurement ad related studies are attracting the attention of the research community day by day. A conceptual model for technology assessment is proposed in this study due to this and respective research attractions. The intention is to make the management of the enterprises to become aware of the technological developments as well as the gaps between the actual enterprise technological suit with the availabilities along this line. The proposed model has four core components that are great importance in defining the technological capability contributing to the technological competency as well as making it easy to measure and perform the relative assessments. Those four concepts are defined as Machinery, IT systems, Manufacturing Support Operations, Storage and Distribution. Note that these components are used to generate a nested assessment model which indicates an evolutionary approach to assess the enterprise technological background against the availabilities in the market. The details of those are explained in the paper.
Keywords: Technologic Assessment; Small and Medium Sized Enterprises; Competency Assessment; Technological Competency; Enterprise Assessment.
The Conduction Effective Analysis of Mental Health between Psychological Capital and Job Burnout
by Xiaolun Cai, Long Ye
Abstract: Nowadays the job burnout phenomenon is very common in Chinas corporations and its seriously affected the individual performance and the relationship between work and family. In this paper, I take mental health is act as an intermediary variable to build the relationship model between psychological capital and job burnout to explore the impact that psychological on job burnout. The research result shows that psychological capital is significantly negatively correlated with job burnout, and mental health plays mediating role in the relationship between psychological capital and job burnout. The research result shows that mental health plays a critical role in the effectiveness between psychological capital and job burnout. And through logical study and test of the effective of psychological capital that on job burnout, finally find the basis for job burnout to separate away from job vocation situation.
Keywords: psychological capital; mental health; job burnout; mediating effect.
The Relationship between Perceived Moral Intensity and Business Ethical Sensitivity of Chinese Insurance Agents: the Mediating Role of Empathy
by Na Zhang, Jian Zhang, Jing Wang
Abstract: Insurance agents business ethics and social image represent an industrial image for the public. However, previous research on insurance agents has mainly focused on the industrial- and organizational-level; individual-level research on personal insurance agents psychology and behavior, which is the foundation and core of the management of an insurance company, has received the least attention. The present study introduces empathy, a moral emotion, into the issue-contingent model to explore the influence of perceived moral intensity on the business ethical sensitivity of Chinese insurance agents. Through the regression analysis of 417 insurance agents, it is found that perceived moral intensity is a significant positive function of business ethical sensitivity. Furthermore, empathy has a full mediation effect in the relationship between perceived moral intensity and business ethical sensitivity. The integrated model of perceived moral intensity, individuals empathy and business ethical sensitivity makes several contributions to service research and management.
Keywords: Moral intensity; Business ethical sensitivity; Empathy; Emotional contagion; Perspective taking.
A Study on Chinese Peoples Everyday Life Information Seeking: Taking a comparison between web and weibo
by Fang Xiaoke, Xie Yongxian
Abstract: There is a paucity of research on Chinese peoples everyday life information seeking (ELIS), especially investigating the relationships between channel value and user behavior. In this paper, an online survey was conducted to capture the background and behavior data from users who regularly use web and weibo, the most influential Chinese language information acquired channels. The friend-of-a-friend recruitment technique received a total of 136 responses, 129 of which were valid and analyzed to generate both descriptive and inferential statistics. Findings indicate that compared with weibo, web was more frequently used by users, and there was more professional information when seeking the purposeful life information on the web. More than one seeking mode were adopted by people through the two channels, and searching is the most widely adopted mode on the web, while browsing on the weibo. Much information can be obtained through the two channels, however the information types needed were different across gender and education levels on the web and weibo. Notably, variables including web use history, web frequency, and weibo use frequency, among the six user characteristics, had significant relationships with values on the two channels, and the four value stages across variables above and other nominal variables had significant differences on the both channels. The reasons behind the preference, usage, and effectiveness of particular platform for ELIS are a fruitful area for future research.
Keywords: ELIS; Web; Weibo; Information seeking modes; User characteristics; values.
A game theoretical analysis of the going global strategy of Chinese high-speed railway
by Kefei Zhu
Abstract: In this paper, we studied the going global strategy of high-speed railway industry in China. We proposed two game models to analyze the situation faced by the high-speed railway industry in China. We first considered the country selection problem (CS problem) to shed light on the situation when we try to find a right partner to fulfil our going global strategy. Our results showed the conditions that guarantee the going global cooperation becomes a dominant strategy Nash Equilibrium. Then, we considered the product or technology problem (POT problem) to discuss the going global mode, i.e. what we should export to the other country. The results showed that even technology export may generate more payoffs to China, the more likely cooperation mode will be the product export. Based on the results of the paper, some practical suggestions have been made to the going global strategy. As far as we know, this paper is the first paper which studies the going global strategy of Chinese high-speed railway industry by game theory.
Keywords: high-speed railway; game theory; Nash equilibrium; “going global” strategy.
Disruptive Online Service Innovation in the Presence of Competition among Disruptors: The Case of 3rd-party Online Payment
by Yang Zhou, Qingpu Zhang
Abstract: While the competition between incumbent and disruptor has been well documented, the competition among disruptors is less well understood. Since the competition among disruptors concerning disruptive innovation of online service is fierce, it is essential to focus on this issue. This study aims to identify factors influenced the competitiveness of a disruptive online service innovation when there is a competition among disruptors. Focusing on the 3rd-party online payment, authors conducted a case study by interviewing 20 key figures in this field and reviewing a variety of published information resources. Findings indicate that the variations in competitiveness arise from three sources: (i) competition basis, (ii) competition environment, and (iii) competition strategy. Important factors within these categories include the services performance on security and availability, the regulations limited the business scope, the interrelationship with the members in the value network, and the strategies to build and protect the market share. In conclusion, findings from this study is profound since it (i) provides implications for the theoretical framework of disruptive online service innovation; (ii) assists the understanding of competition among disruptors and (iii) offers a management practice of online service innovation.
Keywords: Disruptive innovation; online service; 3rd-party online payment; Alipay.
Impacts of Day Trading on the Intraday Pattern of Market Quality
by Tsung-yu Hsieh, Ying-Fen Fu, Shih-Ya Ma
Abstract: In Taiwans stock market, buying first and selling later, as well as selling first and buying later, are permitted, as of January 1, 2014, and June 30, 2014, respectively. This study investigates day trading stocks (pilot stocks) and nonday trading stocks (control stocks) that appear in the Taiwan 50 index and Taiwan mid-cap 100 index during 20132014, with the goal of investigating the impact of day trading on the intraday pattern of market quality. With a difference analysis and cross-sectional regression analysis, this study reveals insights into a stock market that is populated mainly by individual investors. Prior research into intraday patterns of market quality rarely focused on individual investors. The current study demonstrates that the effective spread of pilot stocks decreases significantly, and trading depth increases significantly, after the implementation of buying first and selling later options. This liquidity increase phenomenon then is offset when the selling first and buying later option is permitted.
Keywords: Market Quality; Day Trading; Buying First and Selling Later; Selling First and Buying Later; Intraday Pattern.
Innovative Behaviour and Performance of Technology-based Knowledge-Intensive Business Service: An empirical study
by Xavier Amores Bravo, Anna Arbussa, Andrea Bikfalvi, Josep Llach, Marc Saez
Abstract: The aim of this paper is to learn more about how technology-based knowledge-intensive business service firms (t-KIBS) innovate. To do so, we examine the range of innovation practices employed by a sample of 50 t-KIBS in Catalonia, Spain and the impact these practices have on innovation and business results. We distinguish between practices widely used among manufacturing and services firms and practices that are more typically used by services. Our results reveal that, on the one hand, practices common to manufacturing and services are significant in explaining improvements in both innovation and financial performance, while on the other hand, innovation patterns and practices that are more often used in services are not significant in explaining either innovative outputs or increases in operational profits and returns. These results are important for refining the design of innovation policies at a regional level in Catalonia, as well as abroad. Further research is needed to establish whether the innovative behaviour of t-KIBS is more akin to that of manufacturing firms than to that of service firms.
Keywords: innovation; performance; service firms; service business; technology; knowledge-intensive; KIBS; t-KIBS.
Measuring e-service quality: A review of literature
by Amit Shankar, Biplab Datta
Abstract: In the competitive electronic service (e-service) context, favorable consumer perception about performance is the key to success and marketers are keen to explore consumers perceived service quality. Therefore, several scales have been developed to evaluate electronic service quality (e-SQ) in different contexts. This study explores methodological issues relating to the scale development process while undertaking content analysis of e-SQ literature. The study also focuses on the identification of crucial dimensions of e-SQ measurement scale in different e-service contexts. The review indicates that privacy and security, website design, responsiveness, efficiency, reliability, ease of use and system availability are prominent measures of e-SQ regardless of the context. This study also provides a comprehensive framework including antecedents and outcomes of e-SQ to help managers and researchers in evaluating e-SQ.
Keywords: E-S-QUAL; e-retailing; scale development; e-banking; e-services; Website quality.
An Approach to Reengineering Applied to Control of Container Logistics Cost Using the PERT Network
by Hao Zhang, Yan CUI, LIYU ZHU, Qing-xiao Hou
Abstract: With the development of society and the advancement of science and technology, Chinese automobile manufacturers are struggling with increasingly intense competition in the market. To earn a place in the industry and improve brand competitiveness, many companies are beginning to focus on the logistics of cost control, such that the whole supply chain cost is at its lowest when the value is at its highest, as this is the key to the future survival and development of China's automobile industry. As an example, this paper uses the container transport of Changan Ford auto parts logistics, and based on the cost analysis derived from the Program Evaluation and Review Technique (PERT), the existing transport process is reengineered. Through the comparison of the costs before and after the transformation and the sensitivity analysis based on the reengineered process, it is determined that the reengineered process is superior to the initial process and exhibits strong practical guiding significance for logistics cost control and the development of China's automobile companies.
Keywords: transport process optimization; PERT network; logistics cost control.
Service Supply Chain Incentive Strategy: From the Perspective of Win-win
by Weiping Zhu, Hongguang Yao
Abstract: Classical principal-agent model based on the hypothesis of decision-maker completely self-interest is the mainstream in classical economics; however it reduces the stability of long-term cooperation and cannot reflect win-win cooperation. The paper introduces principals value parameter reflecting win-win relation into incentive strategy, expands the traditional model, and establishes Service Supply Chain dynamic incentive model from the perspective of win-win. In the new incentive strategy, the paper further considers implicit incentive and service providers opportunism behavior. Research shows that the value preference parameter can effectively coordinate the value relation between service integrator and service provider, motivate service provider to improve productive input and decrease opportunistic behavior; implicit incentive has definite substitute effect on explicit incentive; under the joint effect of explicit and implicit incentives, service provider will keep higher productive input level, and its opportunistic input will be controlled effectively at the same time.
Keywords: Service Supply Chain; value preference parameter; implicit incentive; win-win.
Combined Fuzzy Theory and Delphi Method for Instruments Designing Framework of Online Marketing Flexibility Dimensions
by Anil Kumar, Piyush Sindhwani, Shrawan Kumar Trivedi
Abstract: With progressive globalization and market dynamism, the business environment is becoming more turbulent than ever and in a chronic state of flux. Continual changes in technology, demand fluctuations, the emergence of new business models and the internet add further challenges to achieve sustainable growth for businesses. This constant turbulence, combined with rapid changes in the external environment, has forced the business sector to become more agile and flexible. Customers want flexibility so that they can choose specific products and services according to their needs. Therefore, providing flexibility to customers has become a major task for service providers, especially in an online context where competition is fierce and there is no direct interaction with the customer. In literature very little has been written by researchers on this context; therefore, the aim of this study is to design a framework for online marking flexibility. To achieve this objective, a combined method i.e. a mixture of fuzzy theory and qualitative Delphi method has been used with data collected through non-probabilistic sampling methods combined with a survey of experts. The findings of this study can help online service providers to target their customers in online platforms according to their needs and flexibility demands.
Keywords: Fuzzy Theory; Flexibility; Delphi; Globalization; Market Dynamism; Online Platform.
A novel multiple attribute decision making method based on grey relational projection and its application for e-commerce risk assessment
by Xiaoyue Liu, Dawei Ju
What Constitutes Excellent User Experience in Online Consumers Return Services?
by Jingwen Chen, Yan Ma
Co-evolution Path and Its Innovative Design of Chinas Export Cross-border E-commerceA case study
by Mingli Zhang, Man Chen, Wei Zuo
Special Issue on: EURAM 2014 Service Innovation and Servitization
Top management team managerial mechanisms to control local service innovations
by Chen-Ju Lin
Abstract: This study observed the subtle mechanisms that top management teams (TMTs) regularly use to encourage or rein in local service innovation activities. A theoretical framework structured to fit Taiwanese industry settings disclosed how market forces and top management regional strategies can match the application of proper mechanisms to enhance or confine local service innovations. Data were collected by means of a questionnaire. Selected respondent companies are designed to include a grouped sample of a local executive and at least one directly subordinated salesperson. This study obtained 505 effective questionnaires from a sample of 72 groups nested in 8 Taiwan leading insurance companies. The analysis was conducted using structural equation modeling. The findings indicated that local insurers might not be encouraged to engage in service innovation activities when TMTs of head offices perceived comparatively high industrial market forces. Head offices tended to adopt a uniform mechanism to control local product provisions and service quality. The findings also suggest that if head offices wish to effectively control their local service innovations, they must grant strategy flexibility to local divisions and avoid excessive stock of organizational slack.
Keywords: service innovation, insurer, market forces, managerial mechanisms, Taiwan
Special Issue on: Big Data and its Applications
Design and Development of Multi-Tenant Web Framework
by Sivakumar Kuppusamy, Vivekanandan Kaniappan, Devi Thirupathi
Abstract: Traditionally business software has been hosted in the clients business, typically referred to as "in-house" or "on-premises solution that is hosted on a client-owned server. In SAAS software deployment, for servicing multiple clients, vendors deploy same software instance in multiple machines like multiple instances. The implementation would be done in vendor or client location. This type of deployment model consumes more resources such as software implementation effort for each machine and hardware resources. Multi-tenant web application maintenance issues are usage calculation for application, tenant data security issue in database and file server, authorization control for application resources access and application deployment platform management of resource usage monitor and control for service level agreement (SLA) for response time maintenance. Multi-Tenant Web Framework (MWF) provides standard set of components and utilities that expedites the process of developing multi-tenant functionalities and converts an ordinary web application in to a multi-tenant enabled application. MWF consists of features that include authentication, authorization, tenant tracking, application platform controller and securing tenant data.
Keywords: Multi-Tenancy;Multi-Tenant Web Framework ;Application Platform Controller; Tenant File share;Tenant data security
Special Issue on: The Smart City and Service Innovation Lessons on Implementing Governance in Co-production
Developing on-line illustrative and participatory tools for urban planning: towards open innovation and co-production through citizen engagement
by Virpi Oksman
Abstract: The open innovation approach and new technologies are increasingly designed to support stakeholder communication in urban planning. Advanced virtual and mixed reality models such as panoramic imaging and architectural drawings of future urban plans significantly improve the understanding of what is being proposed and the potential impacts of different alternatives on landscape and living environment. Combining visualization techniques with participatory co-design tools allows citizens contributing to urban planning and engaging a crowd for innovation and problem-solving. These emerging open innovation approaches and technologies can be used in order to provide better services to improve citizens quality of life and incentivize local innovation in urban planning. This article examines the challenge of involving various stakeholders in urban planning through user-driven innovation and collaborative design and leveraging these processes to achieve mutually beneficial outcomes. Consequently, we introduce a novel illustrative and participatory tool combining mixed reality visualizations with user-centred interactions and feedback-tools so as to promote user insights and involve them in design. The aim of this tool is to enhance the exploitation of citizen-centric solutions in governance and to provide low-threshold participation tools also taking in consideration those citizen groups that rarely participate in urban planning because of a lack of time. This article analyses how these co-design services should be designed and offered to users in order to effectively support public participation and citizen-governance collaboration in future urban planning projects. We conclude that, in order to provide real benefit and value for urban planning and smart city solutions, participatory service should be integrated as part of the decision-making. Adoption of this kind of services system also means reforming of some of work processes in governance and planning how to exploit the results of the participatory processes to make informed decisions.
Keywords: Virtual models, participatory design, user experience, urban planning; stakeholder engagement
Participatory Governance in Smart Cities: the urbanAPI case study
by Kamran Soomro, Zaheer Khan, David Ludlow
Abstract: The increasing complexity of urban socio-economic challenges has necessitated the development of novel solutions to support effective urban governance responses. Participatory governance is one such solution that aims to combine top-down and bottom-up engagement in urban policy formulation and implementation through increased stakeholder participation in the decision-making processes of government. The adoption of participatory governance strategies leads to more effective governance through collaborative problem identification and solving, as well as increased legitimacy of the solutions developed. A fundamental enabler of participatory governance has been the emergence of ICT-enabled decision making processes supporting policy co-design.
This paper presents some results from an EU FP7 RTD project urbanAPI, in which three ICT applications target different aspects of urban governance. The 3D Scenario Creator allows urban planners to visualise urban development proposals in 3 dimensions, share them with different stakeholders and obtain their feedback in support of decision-making. The Mobility Explorer allows urban land use and transport planners to visualise and analyse population distribution and mobility patterns in the city, as both analytical and communication tool. Finally, the Urban Development Simulator simulates socio-economic activity in a territorial frame in response to alternative planning scenarios for the future spatial evolution of the territory supporting strategic planning analysis. These urbanAPI ICT applications are implemented in four pilot cities; Vienna (Austria), Vitoria-Gasteiz (Spain), Bologna (Italy) and Ruse (Bulgaria), and evaluated with respect to their various requirements. The results of this evaluation are presented and analysed both from city requirements perspective and wider urban governance perspective. Results show that the applications are useful tools, enhancing spatial planning assessements, and enabling public participation, communicating proposed plans to different stakeholders and identifying key development issues which can provide crucial inputs in planning and decision making processes.
Keywords: smart cities; participatory governance; policy modelling; urban planning; 3D visualisation; population distribution; mobility patterns; urban simulation
Identifying Preferred Smart City Services for a Major City in a Developing Country: the Case of Bangkok
by Siam Yamsaengsung, Borworn Papasratorn
Abstract: A key task in the co-production of smart city services is to identify the needs of stakeholders. This research provides empirical data of what services residents in the Bangkok metropolitan area would like to have implemented. A survey was conducted which revealed demands for services related to traffic congestion information, public transportation, participatory governance, public safety and the use of an electronic ID. Exploratory factor analysis was used to discover the underlying structure of the desired services. Four areas were identified: mobility convenience , support for businesses, management and monitoring of government services, and household environmental conservation.
Keywords: smart city; demand-side smart city services; Bangkok.
Special Issue on: ICCM 2015 Computer Services in Management
Construction Cost Prediction on the Basis of Multiple Parameters Using Case-Based Reasoning Method
by EKBAL RASHID
Abstract: Nowadays, case-based reasoning (CBR) can be viewed as an effective and efficient method for cost prediction for building construction. Even if users have not very much experienced all the cases of knowledgebase or database, this method makes it possible to retrieve the information of similar or exact cases, which are known to them, for new experiences. Thus, it is likely that the builder or parties involved will be more inclined to accept the prediction of CBR method. Hitherto the CBR method having been applied already in building construction cost estimation, generally predictions are rely on identifying and comparing the similar past cases with scope reflecting parameters . However, there are challenges related to the rapid retrieval process from the database library. One of the most important retrieval process is the computation of similarity measures. With these issues, this research work attempts to build CBR in terms of similarity measuring method based on the concept of Euclidean distance and Chebyshev distance. The novelty of this paper is enhancing the accuracy of cost prediction as well as checking the effectiveness of the CBR model and both are relevant to academia and industry. In order to obtain the result I have used indigenous tool.
Keywords: Cost Prediction; Similarity function;Case-Based Reasoning
Realization of Optimized Eight-Bit Binary Shifter Using Reversible Logic Approach
by Vandana Shukla, O. P. Singh, G. R. Mishra, R. K. Tiwari
Abstract: Among various Arithmetic Logic Unit (ALU) and storage unit circuits of any digital computing device, shifter circuits are considered as one of the key component. Redesigning of these shifter circuits using reversible logic approach leads to the generation of low power loss digital devices. Reversible logic approach works on the concept of removing heat generating entities from the digital designs. Nanotechnology, Optical Computing, Low Power CMOS design, Quantum Computing etc. are some of the major areas of application for reversible design approach. In this paper, we propose two design approaches for the reversible realization of eight bit binary shifter circuit with improved performance parameters as compared to the existing designs. Design comparison of these designs are performed on some selected parameters such as total number of reversible logic gates used in the design and total garbage outputs generated. The proposed optimized design is simulated using Modelsim software and synthesised for Xilinx Spartan 3E with Device XC3S500E at 200 MHz frequency.
Keywords: Eight bit binary shifter; Reversible Logic Gates; Low loss digital design; Reversible Circuit Design;
Multi Filtering based edge preserving Image fusion technique
by Durga Prasad Bavirisetti, Ravindra Dhuli
Abstract: Image fusion is the process of combining information of several images into a single image. Motivated by the efficiency of multi filtering in highlighting the image details, a new image fusion algorithm is developed in this paper. Each image is filtered along rows and columns to generate four sub images. These images contain features along rows and columns. Each filtered image is given to the Laplacian of Gaussian (LoG) operation for obtaining weights for fusion. Output of LoG is thresholded and edge preserving filtering is applied to get two sets of weights. Sub images are blurred, sharpened and scaled with these weights. Finally all scaled sub images are added to get fused image. The proposed algorithm is evaluated both qualitatively (by visual inspection) and quantitatively (using various fusion metrics) with existing recent algorithms.
Keywords: multi filtering; edge preserving; guided filter; multi-exposure; multi-modal; medical; multi-focus; image fusion;
User Identification prerequisite for Memorization a type of personalization
by priyanka verma, Nishtha Kesswani
Abstract: Web logs are files created to store data about users and all accesses made to web pages by various users. It stores various details such as User Id,URL accessed. Web Usage mining uses these log files to discover user patterns. Web Personalization is personalization of web sites according to user interests. Data collection from log files is first step to perform personalization. There are various types of personalization such as Memorization, Guidance, Customization and Task Performance support. There are various stages of Web Usage mining amongst them Preprocessing is the most important and time consuming stage. It involves removing irrelevant data through data cleaning. It includes identification of users and sessions which is most important for personalization. In this paper we would be focusing on Memorization. Memorization is remembering pages accessed by various users and then personalizing pages. User identification is primary step of memorization. In this paper we would be identifying users from web logs by creating framework using VB.Net and SQL server. This framework can then be used for memorization. After user identification output can then be further used to identify sessions.
Keywords: Mining, Logs, Personalization, Memorization
An Assessment on Domain Ontology Based Information Extraction Techniques
by Mehfooza Munavar, Pattabiraman V
Abstract: Domain Ontology is used in information retrieval to retrieve more relevant information from a collection of unstructured information source.
Information retrieval is become an important research area in the field of computer science. Information retrieval (IR) is generally concerned with the searching and retrieving of knowledge-based information from database. In this paper, we represent the various models and techniques for information retrieval. Domain Ontology is a description of domain concepts with relation and properties to be used in knowledge engineering as a knowledge base. In this paper various Domain Ontology based information retrieval methods have been reviewed. A comparative analysis is made on all the available methods, which will allow the analyst to choose the suitable Domain Ontology based information extraction method. There are various methods developed to make the information extraction more efficient. The methods have been classified as boolean, vector space, semantic based techniques and probabilistic. Semantic based information retrieval can still be classified as semantic association, semantic similarity and semantic annotation. This assessment allows the developer to choose the best fit model for their requirement in an efficient way.
Keywords: Domain Ontology, Information extraction, semantic search, Boolean model, vector space model, probabilistic model
Accessibility Analysis of Web Browsers
by Manas Ranjan Patra, Amar Ranjan Dash
Abstract: Web portals have become widely accepted and convenient means of electronic presence for organizations, businesses, and governments. As a result a plethora of information services are now being delivered by organizations be it government, business firms, or academic institutions across the world. This has raised concern for accessibility of such web services by users belonging to different age groups, physical challenges, ethnicity, and levels of literacy. In order to enhance web accessibility one must consider the accessibility of both web portals and web browsers. Towards this end, in this paper, we have studied the accessibility compliance of some popular web browsers with respect to User Agent Accessibility Guideline (UAAG 2.0). We have provided a quantitative evaluation of different aspects of accessibility of web browsers which we believe can help in the better designing of web browsers by taking care of the deficiencies inherent to them.
Keywords: Accessibility; UAAG; User-agent; Web-browser; Compliance
Special Issue on: “Big Data Management in the Cloud”
Striving to make better decision quicker in cloud: big data event trading in high frequency trading perspective
by Arodh Karn, Niranjan Sapkota
Abstract: In the world of big data, cloud computing in trading and rapid development in computing hardware and software; cloud computing and high frequency trading (HFT) unconditionally turn to be tightly related as the way market is changing rapidly. We find the practicability of event trading strategy of HFT in Finnish stock market based on auto regressive empirical test and comparative ratios insinuating the impression on positive recovers of event trading. A specialized version of cloud trading system is then architected after discovering and exploring the feasibility of HFT in event based trading in Finnish stock market so that afresh get going HFT firms who are speculating what tact to exercise with what holding period and not capable to get micro second favors of news feed earlier than their adversaries; can practice this discipline and the proposed cloud trading architect for alpha generation.
Keywords: high frequency trading; event trading; limit order book; big data; cloud architect.
SDPBDVC: Secure Data Processing on Big Data using Visual Cryptography
by N. Jeyanthi, K. Brindha
Abstract: The rapid and vast deployment of modern technologies such as iPhone, laptops, digital watch, social network, Internet has resulted in handling of an enormous amount of data in our day to-day life. Since the data storage has increased abundantly, the issues related to the techniques to retrieve the relevant information and protect the huge quantity of data are to be focused upon efficiently. However various organizations and IT industries dealing with big data are faced with many security risks in the storage and processing of data. Hence protecting the big data is challenging task for the researchers. MapReduce is an efficient tool for processing large volume of data in a distributed environment. Security and secrecy of data are vital concerns while processing data carried out in MapReduce. In this article, the proposed SDPBDVC (Secure Data Processing on Big Data using Visual Cryptography) technique ensures the protection of sensitive information by applying the Visual Cryptography technique and the processing done only by authorized entities
Keywords: MapReduce; Cloud Computing; Security; Visual Cryptography.
Group Recommendation via an Individual and Subgroup-based Aggregation Strategy
by Runyuan Sun, Ke Ji, Dongfeng Yuan
Abstract: In this paper, we propose an Individual and Subgroup-based aggregation strategy (ISAS) to make group recommendations based on a weight-based scheme.Our strategy can incorporate the topology information to optimize the weights. We evaluate our model on real-life data from Meetup. The experimental results show that our proposed aggregation strategy outperforms the state-of-the-art methods.
Keywords: Recommender systems; Group Recommendation; Group Activity; AggregationrnStrategy.
A Novel Approach for Improving Data Locality of MapReduce Applications in Cloud Environment through Intelligent Data Placement
by Shabeera T P, Madhu Kumar S D
Abstract: In this world of big data, hosting storage and analytics as cloud service is extremely relevant. In multi-user environments, there are chances for load imbalance during data placement. MapReduce like frameworks move computation towards data. However, because of load imbalance, some nodes cannot start computation on the node on which data is stored and may be compelled to start computation on some other nodes. This results in deteriorating data locality. In this case, data have to be copied to the computing node. This data transfer increases the job completion time. This paper proposes a data placement policy for clouds in which the data and virtual machines are colocated in the
same set of physical servers. The physical servers in the cloud are grouped into partitions created using the minimum spanning tree. Experimental results show that this proposal improves node utilization and reduces execution time over default placement in the cloud environment.
Keywords: Cloud Computing; Big Data; MapReduce; Data Locality.
Special Issue on: ICOM 2015 Service Innovations and Technology Management in Emerging Economies
Segmenting Indian Shoppers on Mall Attractiveness Factors
by Sanjeev Prashar, Harvinder Singh, Chandan Parsad, T Sai Vijay
Abstract: In the last decade, the retail sector in India has transformed from small shops to modern shopping formats. Shopping malls have mushroomed across the country, especially, in metro cities. These emerging formats have attracted a large number of shoppers as they provide - convenience, large assortment of products, entertainment, safety and reasonably priced goods. The existence of many malls has not only increased competition, but also has confused shoppers regarding the distinctiveness of one shopping mall from another. Therefore, it is highly imperative for mall managers to ascertain features that would differentiate their malls from their competitors. The objective of this paper is to identify the various shopper segments and profile them on the bases of their orientation towards various factors associated with shopping malls. The study adopted hierarchical and K-means clustering techniques. The paper also attempts to distinguish these segments in terms of demographic features. Data was collected using a questionnaire in Indian commercial city of Mumbai. Existing measurement scales were adopted and was pilot-tested to check their validity and reliability.
The findings advocated that there exist distinctive shopper segments based on various antecedent factors influencing mall selection. Three cluster groups - Hygienic Experience Seekers, Extended Experience Seekers and Prudent Experience Seekers, exhibited noteworthy differences in demographic characteristics like age, marital status, education qualification, income and gender. Though the first two segments constitute a vast eighty-two per cent of the market, they also differ significantly in terms of their expectations from the malls. Besides profiling these segments, the paper has also identified key mall attractiveness factors that retailers and mall managers must take into account while developing the positioning for their outlets. The findings of this study shall facilitate retailers in preparing differentiation strategies in order to cater to the target segment. Though the study is limited to the city of Mumbai and needs caution in generalizing the findings, this has pertinence in understanding varied shoppers segments in the fastest-growing economy of the world.
Keywords: Shopping Malls; Market Segmentation; K-mean clustering, Retail Stores; Shopping Experience; Mall Management; Shoppers’ Behaviour
Implementing Lean Thinking in Software Development A Case Study from India
by Gopalakrishnan Narayanamurthy, Anand Gurumurthy, Shyam Prasath B
Abstract: Implementation of lean thinking (LT) in the service sector has been widely reported. Although few studies describing the application of LT in software development (SD) are available, not many are from an emerging market such as India. Our study addresses this gap by using a single-case study methodology to understand the lean approach adapted by a firm in India to overcome the issues faced in its SD process. Data were collected through direct observation for a period of 1 year. Difficulty in integrating work from various teams, long release cycles for the developed software products, late shipments, quality issues, customers dissatisfaction, and high operational costs were the problems faced by the case company. These problems motivated the case company to adopt LT at the team level by following the scrum process. This study identified how the LT approach guided the case company to achieve responsiveness, regular interaction between employees, involvement of customers, accomplishing targets within the planned timeline and so on. This study helps both academicians and practitioners to understand the approach followed to implement LT in a SD firm in India.
Keywords: Lean thinking; IT industry; lean IT; lean services; India; case study.
RETHINKING THE OLD RESIDENTIAL SECTOR IN THE UAE: A METHODOLOGY FOR SUSTAINABLE RETROFITTING
by Mohamed Elkaftangui, Basem Eid Mohamed
Abstract: The Abu Dhabi Government has recently devised a program to promote sustainability guidelines and regulatory tools within the AEC industry in the UAE. The program; known as Estidama, proposes a set of strategies to ensure sustainable practices from design to operation, and maintenance for all building typologies and communities across the UAE. Currently, the Estidama Design Guidelines have been directed towards new construction of residential and commercial buildings. Nevertheless, it is evident that existing buildings and other facilities should be considered in the future within the programs appraisal, given that they represent a large percentage of Abu Dhabis built environment.
This research addresses the status of the existing residential stock in the UAE built environment, which included around 185 000 units by the end of the year 2007, prior to the Estidama initiative. We analyze various contextual characteristics, then propose a methodology to integrate effective sustainable refurbishment strategies to capitalize on the scope of Estidamas guidelines with the aim of potentially including a chapter for buildings overhaul in Abu Dhabi. We strongly believe that this research would be a valuable addition to the Estidama guidelines, and could compliment the Abu Dhabi vision 2030.
Keywords: Sustainability; Sustainable strategies; Environmental framework; Design guidelines; retrofitting.
Relationship between ethics and buying : A study of beauty and healthcare sector in the Middle East.
by Vimi Jham, Gunjan Malhotra
Abstract: Research in ethical consumerism has concentrated on attempts to either categorize ethical consumers or to uncover their decision-making processes, but to-date there have been few investigations into the key ethical drivers behind the decision-making process. This study attempts to identify these ethical drivers within their particular product groups by means of a survey of self-proclaimed ethical consumers distributed via a questionnaire through face to face interactions. The study analyzes whether ethical decision making is dependent on product attributes or ethical attributes or both . A theoretical framework with hypothesized relationships is developed and tested in order to answer the research question. Data have been collected from195 respondents in beauty and health care sector. The proposed relationships are tested using structural equations modeling. The findings indicate that positive relationships exist between the two exogenous constructs namely product attributes (PA), ethical attributes (EA) and the single endogenous construct while making a decision to buy ethical products (BE). The managerial and academic implications of the results are discussed.
Keywords: Consumerism; Ethical buying; Structural equation modeling; Brand attributes; Product attributes; Beauty and Healthcare; Middle East.
Radical improvement of e-government services in Dubai
by Ahmed AlSayegh, Chowdhury Hossan, Bret Slade
Abstract: Dubai possesses the 32nd most advanced e-government system in the world, according to the United Nations. The authors highlight the factors that led to the success of E-Government in Dubai since its inception in the year 2000. These factors include excellent information technology infrastructure, government support for innovations, sufficient finances, and the high e-participation of individuals and corporations. A comparison of Dubai e-government with regional states of Oman and Saudi Arabia concludes that Dubai e-government has led the transformation.
Keywords: Dubai E-government; E-participation; E-readiness; UN E-Government Survey; E-Government Success Factors.
Special Issue on: LISS16-SIM Service Innovation and Management for Logistics and Supply Chains
Building Supply Chain Quality Management Theory From Case Study
by Haiju Hu, Xiande Zhao
Abstract: In view the inconsistency on the definition and key components of supply chain quality management (SCQM), this study is conducted to make up the deficiency. The research team collected the data using semi-structural interviews of four supply chains from food, toy, automobile and pharmaceutical industry in China. Based on within- and cross-case analysis, six key components of SCQM (Supply Chain Leadership on Quality, Internal Quality Integration, Strategic Supply Chain Design for Quality, Upstream Quality Management System, Downstream Quality Management System and Product Recall System) were identified. Finally, a definition and its holistic framework of SCQM were proposed. Compared with the existing research, the components identified in this study were more comprehensive, and it can facilitate the operationalization of the construct and help to develop a high quality measurement scale. Practically, the SCQM framework proposed in this study will provide guidelines for the managers to build up an effective SCQM system.
Keywords: case study;components of supply chain quality management; framework of supply chain quality management; supply chain quality management; quality management.
Impact of mentoring relationship on career satisfaction of young college teachers the moderating effect of the type of mentoring relationship and the gender of mentee
by Ruijian Liu, Long Ye, Ming Guo
Abstract: Young teachers are the main force for the future development of universities and colleges. For individual young teachers, the degree of career satisfaction directly influences their working enthusiasm. A questionnaire survey is conducted among 300 young teachers from eight universities and colleges in China to study the relationship between mentoring relationship and career satisfaction of young college teachers, as well as the moderating effect of the type of mentoring relationship and the gender of mentee on such relationship. Results indicate that mentoring relationship has a significant positive effect on the career satisfaction of young college teachers. In addition, the type of mentoring relationship and the gender of mentee, as moderating variables, both have a moderating effect on the relationship between the mentoring relationship and career satisfaction of young college teachers, but they do not have a combined moderating effect.
Keywords: mentoring relationship; young college teachers; career satisfaction; type of mentoring relationship; gender of mentee.
Dual Commitment to Company and Union: A Latent Profile Analysis
by Xiangrong Xu, Enhua Hu
Abstract: Dual commitment to company and union is of great significance for harmonizing labor relations. Research on this subject tends to center around the foci of dual commitment while ignoring the dimensions of the commitment. Using latent profile analysis, the configurations of foci and mindsets of dual commitment were identified in a sample of 1,185 union members of Chinese non-state-owned enterprises to elucidate the interactions among the foci and dimensions of dual commitment. The results suggested that there are six distinct profiles: Full commitment, EB-Dominant, AC/NC-Dominant, moderated commitment, CC-Dominant, and non-committed. Employees who have high scores in one or more dimensions of company and/or union commitment have lower turnover intentions and exhibit more organizationally-directed citizenship behaviors than those who have low scores. The individually-directed citizenship behaviors of all profiles apart from the AC/NC-dominant profile are similar. The implications of the interactions identified here among dual commitment foci and dimensions extend to commitment theory as well as the management of companies and trade unions.
Keywords: Dual commitment; turnover intentions; organizational citizenship behaviors; latent profile analysis.
How the LSSC networks effect the growth of Logistics service Integrator
by Wei Liu, Juanjuan Song, Xiang Xia, Wenjuan Li
Abstract: According to different types of resources the logistics service integrator (LSI) acquires from the logistics service supply chain(LSSC) network, the LSSC networks can be divided into five sub-networks: social networks, logistics innovation networks, logistics collaboration networks, marketing networks and reputation networks. This study examines the relationships among five LSSC sub-networks and the influence of LSSC networks to the LSI performance by empirical method. The result shows that the developing of social networks, logistics innovation networks and marketing networks have an significant impact on the growth of LSI; reputational networks have an indirect impact on the firm growth by means of marketing networks; and up to now, the development of logistics collaboration networks are not very good, so it has little impact on the growth performance of LSI.
Keywords: Logistics service integrator; LSSC network; firm growth; performance.
How Does Dynamic Capability Affect Logistics Service Integrators Growth Performance
by Wei Liu, Ling Sun, Wenjuan Li
Abstract: The growth of the logistics enterprises are facing complicated contradictions associated with the opening of the logistics industry. For logistics service integrator (LSI), in a dynamic market, logistics enterprises in order to obtain greater benefits, the only effective way is to continue to innovate and maintain its dynamic capabilities, namely the ability to continue to integrate enterprise outside. Focusing on the theme of "how dynamic capabilities affect on the growth performance of logistics services integrator," this thesis made some research: dynamic capability measure, the concept definition of LSI, how it affects the ability to build dynamic growth performance LSI growth theoretical models, and make an empirical analysis. Finalize the structural model that dynamic capabilities impact on LSI growth performance. On the basis of empirical analysis, the authors deeply analyze mechanism of factors that affect growth merits of logistic service. The authors hope to guide the development of logistics enterprises and management practices which have certain significance.
Keywords: Logistics service integrator; Dynamic capabilities; Enterprises growth performance.
An investigation of the relationship between workplace practices and rm performance; evidence from hotel industry, China
by Muhammad Waseem Bari, Meng Fanchen, Muhammad Awais Baloch
Abstract: Sustainable success in the hotel industry highly depends on customer loyalty and gratification. Workplace practices play a significant role in customers satisfaction and firm performance. The role of information technology (IT) in workplace practice's effectiveness and firm performance is not much investigated in the context of the China hotel industry. Thus, the objective of the present study is to investigate the relationship between workplace practices (Low transaction cost, tangible and intangible service, and customer oriented approach) and firm performance in the hotel industry, China, and mediating role of IT between this relationship. Through convenience sampling technique and administrative survey approach, 280 questionnaires were distributed to experience and supervisory level employees of hotel firms. Out of 280, 192 workers returned complete and properly filled questionnaires. Partial least squares, structural equation modeling (PLS-SEM) approach is used to analysis the collected data and hypotheses verification. All the propositions are proven and accepted. The findings confirm that workplace practices (Low transaction cost, tangible and intangible service, and customer oriented approach) have a significant relationship with firm performance and IT partially mediates the relationship between said workplace practices and hotel firm performance. Importance-Performance Matrix Analysis highlights the customer oriented approach as a most important workplace practice to enhance the hotel financial performance. Limitations of the study and future research directions are discussed in the last section of the study.
Keywords: Transaction cost; Tangible & intangible services; Customer satisfaction; PLS-SEM; Firm performance; IT.
Effects of organizational learning on service innovation performance: the mediating effect of supply chain collaboration and the moderating role of interpersonal trust
by Min Li, Zhaoquan Jian, Lei Li, Thomas Kwan-ho Yeung
Abstract: This paper discusses the relationships between organizational learning and service innovation performance, as well as the mediating role of supply chain collaboration and the moderating role of interpersonal trust. The empirical study shows that: (1) Different dimensions of organizational learning have different effects on different dimensions of supply chain collaboration and service innovation performance. (2) Supply chain collaboration acts as a mediator between knowledge absorption, knowledge integration, and service innovation performance, but it does not have a mediating effect on the relationship between learning intention and service innovation performance. (3) The positive relationship between knowledge integration and service innovation performance is stronger if the interpersonal trust is higher than it is low. But interpersonal trust does not have a moderating effect on the relationship between the other two dimensions of organizational learning (learning intention and knowledge absorption) and service innovation performance. The segmentation study in this paper gives some theoretical values and insights on research of supply chain collaboration, organizational learning and service innovation performance, and enriches the empirical research of these areas to some extent.
Keywords: organizational learning; supply chain collaboration; interpersonal trust; service innovation performance.
The impact and spatial difference of agricultural producer services industry on agricultural development: an empirical analysis based on provincial panel data
by Junjuan DU, Yaokang LI
Abstract: The acting mechanisms of agricultural producer services industry on agricultural development remains much debated. This paper takes an emperical perspective and focus on the influence of agricultural producer services on agricultural structure adjustment, income of farmers and agricultural production efficiency with panel datas from the provincial agriculture survey in China. Results indicate that agricultural information, science and technology promotion in agricultural producer services significantly promot agricultural development. But from regional perspective, results show that there are geographical differences in the roles of different types of agricultural production service industry playing. In major grain producing area, the agricultural production service industry is not a major role in optimizing the agricultural structure, and financial and insurance services, agricultural technology extension services and agricultural sale services have played positive roles in increasing the agricultural income and upgrading the efficiency of agricultural production. However, the agricultural financial and insurance services and information services promote agricultural industrial structure optimization, income and agricultural production efficiency in economic crops production areas.
Keywords: agricultural producer services industry; provincial panel data; agricultural structure optimization; agricultural income; efficiency of agricultural production.
Research on Risk Control of Vehicle Dynamic Logistics Alliance Based on SD and Evolutionary Game Model
by Mingbao Wang, Zhiping Du, Hong Duan
Abstract: Based on the evolutionary game theory and system dynamics theory, this paper analyzes the characteristics of vehicle logistics supply chain and vehicle dynamic logistics alliance system and the dynamic characteristics of system risk control, analyzes the internal risk control of vehicle dynamic logistics alliance. The evolutionary game model of two game agents under bounded rationality is established by taking the dynamic logistics alliance of two members as the research object. And uses the system dynamics theory, transforms the vehicle dynamic logistics alliance evolution game model into the system dynamics model. The model was simulated by Vensim software. Combined with the characteristics and advantages of the two methods to analyze what factors will promote cooperation between the two sides, what factors tend to make both sides appear egoistic breach of contract and thus affect the cooperation, what will trigger the situation of default. So as to provide reasonable suggestions for risk control of vehicle dynamic logistics alliance.
Keywords: Vehicle logistics alliance; system dynamics; evolutionary game theory; risk control.
A Two-period Pricing Model for Perishable Items
by Xing Wang
Abstract: Purpose - This paper presents a pricing model for perishable items via an advance selling strategy deployed within electronic businesses.
Design/methodology/approach A two-period pricing model is proposed in advance selling strategy to achieve maximum profit for the seller. Consumers are classified into two categories based on their shopping habits: (a) strategic consumers and (b) conventional consumers. The model was developed both with and without a consumer order cancellation variable. Numerical computation and sensitivity analysis were conducted to test and justify the theoretical model.
Findings The results demonstrate that the ratio of potential consumers in an advance selling period to that in regular selling period is the main factor affecting pricing decisions. Consumers price fairness perception and order cancellation have effect on sellers total revenue.
Practical implications This study offers an advance selling strategy for sellers of perishable items, helping them to make more effective price decisions. The best revenue and price is obtained by adjusting the length of the advance selling period.
Originality/value This study presents a model to decide the best price for perishable items in an advance selling strategy. Research on two-period pricing and consumers price sensitivity perception contributes to similar studies and also has important implications for perishable items sellers who wish to maximize long-term revenues through an advance selling strategy.
Keywords: Revenue maximization; pricing model; perishable items; advance selling strategy; Electronic Commerce;.
The Construction and Application of a Standard System of In-Home Aged-care Community Service -- Based on an Empirical Analysis of Shaanxi
by Zehao Zhang, Min Tang, Kun Lan
Abstract: As Chinas aging population facing dilemma these years, how to promote in-home aged-care community service is an important problem. The current standard system of community service of in-home aged-care includes an index system, index weight, evaluating standard, evaluating method, and evaluating procedures. This paper took Shaanxi Province as an example, evaluate the status of in-home aged-care community service system in Shaanxi, and give suggestions for existing problems.
Keywords: community service; standard; in-home aged-care.
What influence the choice of host country in Chinese firm cross-border M&As? Culture distance, institution and tax
by Xiangfei Fu, Yongmei Cui, Vicenç Fernandez, Yan Zhao
Abstract: What influence the choice of host country when Chinese firm make cross-border merger and acquisitions (M&A)? According to 1051 Chinese cross-border M&A transactions in the year 2000-2015 listed in BVD-Zephyr database, we find that culture distance, institution and tax are the three most significant factors: (1) Chinese firms are more likely to choose host country with close culture when conduct cross-border M&As. (2) Chinese firms tend to choose M&A method to enter countries that have stronger institutions. And among the six specific institution factors (control of corruption, government effectiveness, political stability, regulatory quality, rule of law, voice and accountability), Chinese firms care more about control of corruption, government effectiveness, political stability and regulatory quality. (3) Low-tax countries are more attractive to Chinese firm cross-border M&As.
Keywords: Cross-border Merger and acquisition; culture distance; institution and tax.
Special Issue on: Embracing the ASEAN Economic Community in Indonesia the Convergence of Management and Technology
A Case Study of Indonesian SMEs: An Empirical Evidence of SCM Practices and Their Impact on Firm Performance
by Bertha Maya Sopha, Aprilia Hestiani
Abstract: This present research seeks to explore SCM practices by Indonesian SMEs and to empirically examine the impact of the SCM practices on firm financial performance. Empirical data was collected in 2013 through a survey using structured face-to-face interview. Thirty-nine SMEs producing food, handicraft, clothing and leather in Yogyakarta, Indonesia, are taken as studied cases. Structural Equation Modelling was applied to test the causation relationship between the SCM practices and the financial performance. Findings generally confirm that SMEs put high importance on operational efficiency particularly high on downstream and less attention on the supplier side, which is consistent with previous studies. The findings also demonstrate the significant positive causal relationship between the SCM practices and the financial performance, implying that the higher implementation level of the SCM practices, the better the financial performance. Customer relationship management, supplier relationship, and information system, are found to be the three most practices which contribute significantly to the firm performance. Potential improvement areas and their associated strategies (e.g., horizontal collaboration and vertical partnership) are also discussed.
Keywords: supply chain management practices; small- and medium-sized enterprises (SMEs); financial performance; Yogyakarta-Indonesia.
Monetary Integration in the ASEAN Economic Community Challenge: The Role of the Exchange Rate on Inflation in Indonesia
by Heru Rahadyan, Alexander Lubis
Abstract: The implementation of the ASEAN Economic Community (AEC) in 2015 required some form of monetary integration, such as exchange rate management. This paper investigates the role of the exchange rate on the inflation rate in Indonesia. Using the monthly data series from 1970 to 2015, we find that the nominal exchange rate affects the inflation rate at a low transmission speed rate. However, the exchange rate volatility and depreciation threshold may accelerate the speed of the exchange rates transmission to inflation. Thus, studies with short-lagged variables, or studies in different periods may lead to different findings, as shocks and changes in exchange regimes occur regularly in Indonesia. These findings are important as they imply that Indonesia may fail to reach the aims of the AEC if it fails to coordinate its exchange rate policy with the rest of the AEC.
Keywords: ERPT; exchange rate; inflation; monetary policy; ASEAN; AEC.
The Challenge of e-Money Adoption for Transportation in Indonesia
by Amalia E. Maulana, Nova Aryanti
Abstract: The use of e-money as a breakthrough and solution for customers will enable a variety of transaction activities. Unfortunately, this product has not yet been adopted until the desired level by the issuers and the government as a policy maker. This study is aimed to find deep insights on different aspects that hamper the adoption of e-money in Indonesia, especially those used for transportation. The observation of customers behaviour was conducted by using marketing ethnographic approach, and it was expected to gain insights about the obstacles. This study shows that the lower Relative Advantage and Compatibility is an aspect that needs to be addressed. The level of observability and operational complexity of e-money at the level of customers is considered high, and the lack of education to the customers, and the lack of customers cooperation in the process of learning of new things can be considered as inhibiting factors. This study finds that the incentives for customers and social influencers are the trigger of penetration that can be improved. The results of this research is expected becoming usable for stakeholders in an effort to increase the use of e-money in the sector of transportation to become more precisely targeted and effective.
Keywords: E-money; e-money usage; e-money for transportation; Diffusion of Innovation; Technology Product Adoption; Adoption Behaviour; Consumer Behaviour; Planned Behaviour; Ethnography Marketing.
Marine renewable energy: opportunities and challenges for community development in coastal area of Indonesia
by Agung Iswadi, Alan Owen, Leuserina Garniati, Jito Sugardjito
Abstract: Coastal community profiles are usually seen as a dilemmatic condition between poor population with unequal energy provision and traditional livelihoods to meet daily needs and specific areas with substantial marine resources potential. One of the immediate and significant challenges confronted by coastal communities in Indonesia related to food security and direct economic productivity, is access to energy. Marine renewable energy provides opportunities and challenges, not only for national energy production from renewable sources, but also for community development in coastal areas. Three (3) case studies have been performed in three different coastal communities in order to capture actual information regarding coastal community profiles and needs. The investigation in Aceh, West Nusa Tenggara and West Papua found that marine renewable energy could become part of sustainable solutions to promote coastal community development. One of the socio-economic impacts that could be beneficial at community level is job creation that would support regional and national GDP of Indonesia. Therefore, Indonesia should be able to face identified challenges in developing marine energy sector in order to strengthen its position in the ASEAN Economic Community.
Keywords: marine renewable energy; community development; socio-economic.
Assessing an Information System in Mandatory Environment: A Case of a Government Agency in Indonesia
by Siti Mardiana, Jann Tjakraatmadja, Atik Aprianingsih
Abstract: This study aims to develop a conceptual model for assessing an information system in a mandatory environment. An empirical study is conducted to test the validity of the model. The analysis was using SmartPLS due to the abnormality of data distribution and relatively small sample size. The respondents were operators at a government agency who use the system for managing migrant workers data. Even though all indicators for a good model are fulfilled, due to a relatively small sample size, the findings should be used with caution. In this study, social influence is not a good predictor for intention to use while perceived usefulness is. The effect size calculation showed that perceived usefulness has a substantial effect toward intention to use. System usage made a bigger impact on perceived benefits rather than on user satisfaction. The implications are, first, the authority in the agency must promote the usefulness of the system. Second, increasing users intention to use the system will increase system usage that provides benefits for users.
Keywords: information system success; mandatory environment; technology acceptance; e-government; migrant workers; SmartPLS.
Governance Structure Choice in the Supply Chain of Broiler Chickens: An Empirical Study in Central Java, Indonesia
by Aries Susanty, Ahmad Syamil, Hery Suliantoro, Eveline Siburian
Abstract: This study aims to clarify the dominant factors (which can be defined as antecedent factors) influencing the structure choice in the supply chain governance of traders and middlemen of broiler chickens. This study has utilized closed-ended questionnaires with 5-Likert Scale distributed to several traders and middlemen of broiler chickens in the traditional town market in Semarang City of Central Java Province. One hundred and twenty-five copies of the questionnaire were administered to the traders of broiler chickens in these marketplaces: North Johar, Central Johar, South Johar, Bulu, Karangayu, Peterongan, and Jatingaleh. Additional information was collected through follow-up telephone interviews and archive records. Data acquired from the questionnaire were processed using Structural Equation Modelling (SEM). The findings indicate that the transaction cost economy and the collaborative advantage have a significant positive effect on the level of integration; in this case, the effect of the transaction cost economics stronger than that of collaboration advantages. The findings also suggest that the transaction cost economics significantly depends on uncertain conditions between traders and the middlemen; whereas, the collaborative advantage significantly depends on uncertain conditions and collaboration capability.
Keywords: Transaction cost economics; collaborative advantage; level of integration; broiler chicken; supply chain; Semarang.
R&D Intensity and Allocation: Empirical Evidence from Indonesia in AEC Integration
by Akbar Adhi Utama, Nurbudi Mulyono, Sita Deliyana Firmialy
Abstract: To increase the competitiveness of ASEAN economy through AEC (ASEAN Economic Community), the role and strategy of R&D in spending alignment need to be revitalized. An understanding of the current R&D strategy of each AEC member country through the comprehensive analysis of R&D expenditure is also required. This paper addressed the issues of R&D expenditure and intensity in Indonesia that is currently placed at a relatively low position among other ASEAN members. The quantitative method was utilized to achieve the research objectives. The data,obtainedfrom 228 companies ofvarious sectors in Indonesia, were collected and integrated as the empirical basis for testing the hypotheses.The results suggested that although the growth opportunities and leverage have the different effect on R&D intensity, the intensity effect is still very inadequate. Most of companies allocated their R&D investment for internal purposes.They invested R&D expenditures to increase the efficiency of their companies, even it hadlow contribution to their companyvalue.
Keywords: R&D intensity; R&D Expenditure; Indonesia; ASEAN; AEC.
Special Issue on: ICCM 2016 Computers and Management
Multi-Depot Vehicle Routing Problem Based on Customer Satisfaction
by Sonu Rajak, P. Parthiban, R. Dhanalakshmi
Abstract: Nowadays, meeting the customers demands in the shortest time and least cost is the most challenging task of maintaining any supply chain. Vehicle Routing Problem (VRP) plays an important role in the logistics. In typical VRP, customers are used to serving as a single depot, but in real-life single depot will not be sufficient to meet the customers demand or customers satisfaction. In this context, this article presents the Multi-Depot Vehicle Routing Problem based on Customers Satisfaction (MDVRPCS). Since MDVRPCS is an NP-hard problem so, Ant Colony Optimization (ACO) has been proposed to solve the MDVRPCS. The proposed algorithms have two phases. The first Phase involves clustering the nodes into a desired number of groups. This has been done by using K-means clustering algorithm. The second Phase involves optimization of routes for each cluster. This is achieved by using ACO. The proposed algorithm has been tested for wellknow problem instances from the literature. The results show that the algorithm is capable of obtaining good optimal solutions.
Keywords: Vehicle Routing Problem; Combinatorial Optimization; K-Means Clustering Algorithm; Ant Colony Optimization; Customers Satisfaction; Fuzzy Time Windows.
Special Issue on: ICSS 2017 Services Design and Innovation and Serviceology
A User Preference Awareness K-Neighbor Optimized Selection Algorithm: Modeling and Implementation
by Mingjun Xin, Wenfei Liang, Weimin Li
Abstract: With the development of the massive amount of Web services, the popular research area is involved with the solution to select the required services according to the personal preference for different users. To solve these urgent problems, a user preference awareness k-neighbor optimized selection algorithm is proposed and designed in this paper. Initially, the potential interest of the user is explored and clustered by using association rules method of data mining technology. At the same time, an expanded LDA model is used to analyze the influence on user preference calculation for different types of services caused from the functional attributes of Web services. Furthermore, the user preference matrix is constructed for service selection in this paper. To improve the accuracy of the service selection result, the ant colony algorithm is modified to optimize the service selection process of K-neighbors in traditional collaborative filtering, while the missing data in the user preference matrix is predicted. Finally, the Web services with personalized user preference are selected for the target user. The experiment shows that our proposed method leads to a higher accuracy and coverage than the traditional Web service selection methods based on the real service set, which is collected from the Programmable Web site under SOA environment.
Keywords: association rules; collaborative filtering; ant colony optimized algorithm; service selection.
Service Recommendation using Conditional Restricted Boltzmann Machines
by Tianyang Li, Ting He, Zhongjie Wang
Abstract: We propose methods based on the Conditional Restricted Boltzmann Machine (CRBM) for the service recommendation. First, we construct a CRBM model, the individualized characteristics of customers and indexes of satisfaction have been encoded into its conditional units, and the using status of services has been encoded into its visible units. Next, a method for dynamically adjusting learning rates is proposed to improve the training process of the CRBM. Finally, we develop a neighborhood-based approach to further boost recommendation results. The evaluation on a dataset extracted from a manufacturing company, validates that the above-proposed methods have highly practical relevance to the service recommendation problem in real world business.
Keywords: Service recommendation; the Conditional Restricted Boltzmann Machine (CRBM); service; Restricted Boltzmann Machine (RBM); learning rate;.
An Optimal Selection Method of Model Transformation Rules based on Clustering
by Li Jin, Bai Yu, Cheng Xuhong
Abstract: Model transformation methods tend to create many transformation rules, but there is still some redundancy among these transformation rules. Therefore, how to obtain effective transformation rules has become an unsolved important problem. However, current model transformation methods do not focus on these rules. Therefore, we propose a clustering-based method for the selection of transformation rules. The main idea is to classify the target model elements, transform the rules of each class, and finally obtain the appropriate conversion rules via the post-clustering conversion rules. We also present an algorithm to automatically validate the optimal selection of model transformation rules. A motivating example is presented to illustrate our approach. Furthermore, the comparison experiments of these algorithms are conducted, which have proved the effectiveness of the optimal selection method.
Keywords: model transformation rule; cluster; optimal selection.
Mining resource service sequences based on similarity for collaborative tasks
by Haibo Li, Yingchuan Sun
Abstract: To improve the efficiency of selection of resource services and collaboration among them, the business link between resource services is essential for collaborative tasks. Service flow can better describe the business relationship between resource services. Although a workflow model can describe the relationship of resource service sequences (RSSs), it describes the static relationship between resource services and does not reflect the frequency of RSSs in real business. A method of mining frequent RSSs is proposed. First, by analyzing the task-relevance that exists between resource services, an equation is presented to calculate the distances between resource services. Next, for an RSS, the similarities of resource services are measured by the equation to resolve the set of frequent resource service sub-sequences. Finally, an evaluation method of frequent subsequences is proposed. The result of the experiment proves the proposed approach is valid.
Keywords: collaborative tasks; resource service sequence; mining.
A Multi-modal Health Data Fusion and Analysis Method Based on Body Sensor Network
by Lei Wang, Yibo CHEN, Zhenying ZHAO, Lingxiao ZHAO, Jin LI, Cuimin LI
Abstract: As an important branch of wireless sensor network (WSN) in biomedical field, body sensor network (BSN) could remotely monitor a variety of human health data in real time by means of energy-saving and high-accuracy sensor technology, and the sensitive data related to personal privacy should be protected in the process of data transmission.. In this paper, we study a multi-modal health data fusion and analysis method based on the data collected in BSN, in which we design a networking for BSN including Holter sensor, blood pressure sensor and oxygen saturation sensor, and propose a method of myocardial ischemia monitoring and identification based on Bayesian network model and reasoning algorithm. Single-modal Holter monitoring and multi-modal health monitoring were performed on 60 patients with confirmed heart disease, and it was proved that the proposed multi-modal health data fusion and analysis method could effectively improve the detection rate of asymptomatic myocardial ischemia and provide a new auxiliary judgment method for clinical application. Aiming at the requirement of privacy preserving in the data fusion process of wireless body sensor network, a new SMART-RR algorithm is proposed in which an unequal time interval and repetitive data reduction joined factor data fusion strategy is embedded in the algorithm using the characteristics that human health data is cycle repeatability and redundancy. Simulation results show that the SMART-RR is an energy-saving privacy preserving data fusion algorithm with small data communications, high privacy protection and accuracy, and has certain application value in human health signs oriented data acquisition of wireless body sensor network domain.
Keywords: body sensor network; multi-modal; data fusion; privacy preserving; healthcare service.
The QoS Analysis of Web Services Composition Based on Jackson Queuing Network
by Hao Wang, Jianmao Xiao, Hao Long, Leyue Wang
Abstract: With the popularity of distributed computingrnand mobile Internet, services composition has become a hotrnresearch in the field of service computing. The QoS of webrnservices composition organized by BPEL is determined by therninternal structure , the probability distribution in the variables-rnvalue of BPEL process and the external factors such as thernhardware and software processing capabilities of web servers,rnthe load of web servers. At present, the generalized Petri nets,rnqueuing Petri nets, Markov processes and stochastic processrnalgebra model which are widely used can not have a compre-rnhensive analysis in obtaining the actual performance of webrnservices composition in Internet environment. In this paper, arnset of mapping rules are established to transform the internalrnand external factors which have impacts on the QoS of webrnservices composition into Jackson queuing network, meanwhile,rna set of performance indexes and their formula are given. Basedrnon these performance indexes, we comprehensively analyzernthe performance of web services composition and locate thernbottleneck of web services composition when the internal andrnexternal factors are changed, so that the performance of webrnservices composition can be predicted before its deployment.
Keywords: Distributed computing; BPEL; QoS; Web servicesrncomposition; Jackson queuing networks.
Finding Service Compositions in Complex Home Care Service Network
by Qi Wang, Dianhui Chu
Abstract: With the development of pension service industry, there have been numerous home care services. The demands of the elderly are becoming increasingly complex and a single service is difficult to meet the demands of the elderly, so home care service composition becomes particularly important. According to the home care service features, this paper builds a complex network model with home care services as nodes and relationship between services as edges. Then the search strategies are used to search in the complex network to obtain service composition. This method can find high quality service composition which meets the complex demands of the elderly.
Keywords: home care service; complex network; service composition; search strategy.
Application Study on Image Recognition Algorithm in Visual Service of Deaf Mute under Complex Environment
by Xiaoyi Yang, Qian Wu, Xinmei Deng
Abstract: In order to benefit the disadvantaged deaf people and eliminate the communication disorder between the hearing and deaf mute to get harmony and symbiosis really, the visual identification and service research of deaf people has been paid more and more attention by experts and scholars. the paper presented an improved ALBP(Advanced Local Binary Pattern) algorithm for face feature recognition. Aimed at being not ideal in recognition effect resulted in ignoring the contrast between the local image in traditional face feature recognition algorithm and discarding some important texture feature information, it first made the illumination normalization preprocessing of face images under different illumination conditions to control the illumination changes in a certain range, then the improved LBP(Local Binary Pattern) algorithm is used to map the contrast value of the local area pixels into an interval value, so that it made the image own the illumination invariance, thereupon then it could better identify the face features. The experimental results show that the presented ALBP algorithm can be better applied to the visual service system of the deaf.
Keywords: disadvantaged people; visual service system; deaf people; communication disorder; ALBP algorithm; face recognition; feature recognition algorithm; texture feature; feature information; image process; illumination normalization; illumination invariance.