Earticle

Recently genuine products and good commerce have been threatened by distributing forgery in home and abroad markets. It is because most customers cannot distinguish whether genuine or forgery, so establishing of strict distribution system is needed. Therefore recently Genuine Guarantee System which can confirm genuine products has been developed using the Internet. The object of this system is protecting to purchase forgery by confirming distribution system. This system can provide a reliable environment of consumption. But to be diffused at distribution structure and applied, We require the understanding about not only technical side but behavior side. That is, we need to research the cause and process of using this new information system. In this research, we understand the cause of affection on the system's acceptance and define the suitability about the model according to Technology Acceptance Model by Davis. The above can build the suitable operating strategy and understand the criterion as a new business model.

The Semantic Web has increased the interest in ontologies recently. Ontology is an essential component of the semantic web and continues to change and evolve. We consider versions management schemes in ontology. We study a set of changes based on domain changes, changes in conceptualization, metadata changes, and temporal dimension. Our change specification is represented by a set of changes. A set of changes consists of instance data change, structural change, and identifier change. In order to support a query in ontology versions, we consider temporal dimension includes valid time. Ontology versioning brings about massive amount of versions to be stored and maintained. We present the ontology versions management schemes that are 1) storing all the change sets, 2) storing the aggregation of change sets periodically, and 3) storing the aggregation of change sets using an adaptive criterion. We conduct a set of experiments to compare the performance of each versions management schemes. We present the experimental results for evaluating the performance of the three version management schemes from scheme 1 to scheme 3. Scheme 1 has the least storage usage. The average response time in Scheme 1 is extremely large, those of Scheme 3 is smaller than Scheme 2. Scheme 3 shows a good performance relatively.

Product recommender system is one of the most popular techniques for customer relationship management. In addition, collaborative filtering (CF) has been known to be one of the most successful recommendation techniques in product recommender systems. However, CF has some limitations such as sparsity and scalability problems. This study proposes hybrid cluster analysis and case-based reasoning (CBR) to address these problems. CBR may relieve the sparsity problem because it recommends products using customer profile and transaction data, but it may still give rise to scalability problem. Thus, this study uses cluster analysis to reduce search space prior to CBR for scalability problem. For cluster analysis, this study employs hybrid genetic and K-Means algorithms to avoid possibility of convergence in local minima of typical cluster analyses. This study also develops a Web-based prototype system to test the superiority of the proposed model.

This study defined the notion of general idea on m-Learning as based upon e-Learning and mobile internet related literature review and identified the m-Learning distinctive features. Also, this study has searched for factors that are expected to influence the use intended for m-Learning from self-regulated learning, which is acknowledged to be a useful method for learning accomplishment in education field, in order to measure the relationship between learners’ motivation and use intention. Then it has empirically validated the conceptual model based on Davis’ TAM (Technology Acceptance Model). As a result, self-efficacy, self-determination, interest, contents quality, time management, help seeking, and peer study are factors affecting perceived usefulness. Also self-efficacy, self-determination, interest, contents quality, time management, and peer study are factors affecting perceived ease of use. Finally both perceived usefulness and perceived ease of use are significant factors affecting use intention.

ASP (Application service provider) as a new type of information systems service has been popular recently and has taken a much attention of information systems professionals and researchers. One stream of the research on ASP performed by IS community dealt with utilization and benefits of ASP systems use. The other researchers argue the importance of ASP vendors’ capability to provide users with appropriate services. Kern, Lacity and Willcock [2002] summarized the components of core competency of service providers based on their extensive case studies on application service providers. Also, Levina and Ross [2003] developed a value delivery process of application service providers in their case study. This study is developing propositions and an empirical model based on the theory of core competency from strategic management study. The dimension of core competency is composed of management competency, technical service competency and customer service competency. Each dimension is made up of competency items derived from previous studies and adapted by professionals in ASP industry. The validity of the dimensions and items in each dimension has been checked with factor analytic method for empirical test. The core competency dimensions are correlated with performance factors of application service providers including growth of revenue, asset and customer base.

The internet and wireless communication technologies are creating ubiquitous environments in which various services are expected anytime and anywhere. Many hardware facilities have been developed and system structures are suggested for mobile services to realize a ubiquitous computing environment with appropriate quality. But these applications are not designed in the consideration of the general capabilities to perform user’s wireless and mobile communication/transaction. Consequently, different needs from users are not sufficiently satisfied yet. In this study, we suggest structure of the emerging network system for mobile commerce that provides users with seamless and ubiquitous environments using location information which exploit context-aware technology.

This paper examines the validity of the newly developed IT consulting SERVQUAL measurement tool. In an attempt to measure the IS customers’ expectations and perceived quality of the services they received, the researchers developed a diagnostic tool of SERVQUAL based on the solid theoretical background, which can specifically be applied to the IT consulting service sector. This on-going research so far, has been applied to six (6) different organizations that have received IT consulting services over the past years. From the preliminary data collected, the correlation and the factor analyses were conducted to understand the underlying concept and refinement of the measurement tool. Although the correlation analysis showed a little tendency of collinearity among some of the variables, all showed sound relationship of the proposed hypotheses. The exploratory factor analytic approach was chosen because it does not set any priori constraints on the estimation of components or the number of components to be extracted. The number of different factor solutions was extracted and tested to see which solution represents better grouping of the variables. The Crombach’s Alpha was computed on different combinations of the factor solutions to ensure validity. The results show 8-dimensional IT consulting SERVQUAL measures which they are, assurance, knowledge & skill, customer relationship, support, empathy, process management, expertise, and education, seem more appropriate than the originally proposed 6 dimensions. The study approach was non-experimental cross-sectional research design. The longitudinal design of follow-up studies to periodically revise and refine current measure is strongly recommended for fine tuning of the tool.

Due to the advance of the Internet, the electronic commerce is getting more widely used, and customer's demand for the e-Commerce service quality is rapidly increasing. On the other hand, e-Commerce companies required the Internet services whose quality is provided more reliable service to their customers. Therefore, it is very important to provide both e-Commerce companies and customers with the measurement and service quality in real-life network environment. But the research on the service quality measurement method for electronic commerce systems has been limited because ISP and e-Commerce providers seldom disclose detailed service measures such as, where and how much service delay incurred. In this paper, we construct sample e-Commerce systems and try to measure the service quality of the systems in real network environment. We have analyzed the delay zones and causes using a measurement tool. We must reflect the improvement method against delay causes. Accordingly, the customers can be experiences the better service quality. We hope that this research will be the groundwork for future research on the service quality of various types of e-Commerce systems and online services.