The unprecedented growth of Internet technologies has made resources on the World-Wide-Web(WWW) instantly accessible to various user communities. While e-commerce has become as an important issue with the growth of the Internet, there are insufficient empirical research efforts concerning its status in Korea. The United States, in contrast, has made significant efforts in making empirical research regarding this issue. In this paper, we demonstrate not only how these contextual differences influence consumer satisfaction with the purchased products/services, but also what contextual constructs make consumers satisfied or dissatisfied. In addition, we tried to find the difference in the factors of consumer satisfaction between a developed country(i.e., United States) and a developing country(i.e., Korea) with regard to e-commerce. The study findings suggest that contextual problems need to be solved before e-commerce provides real benefits for consumers and businesses.

It is generally agreed that realizing the full potential of the internet shopping mall(ISM) requires careful identification of customer needs and expectations. However, a quantitative framework to explain and predict users' behavior toward ISM has not been well established because the research on the user acceptance of ISM is still in its infancy. This study proposes a model which uses factor analysis to identify factors of ISM characteristics and individual characteristics affecting user acceptance of ISM. Predictive models based on the multiple regression analyses select the factors and their interactions with individual characteristics that significantly influence user acceptance. Results show that five factors including economy, convenience, credibility, reliability, information risks, and performance risks affects user acceptance. In addition, individual differences in terms of innovativeness, playfulness, and recreational shopping traits have both direct and interaction effects on user acceptance. The implication of this study is that, although user attitudes towards ISM characteristics in general are important to their acceptance behavior, the level of importance depends upon different user groups.

This study examines which factors are urging Korean companies to participate in e-marketplaces. By adding interorganizational factors, we extended an innovation-theory-based research model that is often applied to study the information technology adoption. 71 questionnaires from 720 Korean manufacturing companies were collected. Independent variables of the research were environmental, organizational, innovation, and interorganizational characteristics. We found that the environmental characteristics, innovation characteristics, and interorganizational characteristics have insignificant effect on the participation of domestic companies in e-marketplaces whereas the organizational characteristics have significant relationship with the participation in e-marketplaces. The result implies that many Korean companies take wait-and-see strategy in the forming stage of e-marketplaces, However, IT infrastructure and the support of top management for IT play very important role in adopting e-marketplaces.

As the average size of web sites gets larger, users tend to experience more severe problems while navigating through the sites. In order to alleviate the navigation-related problems, this paper proposes two new navigation systems based on the spatial metaphor to the navigation in the real world. Prototypes of the two system, Complete Route Navigation(CRN) and Complete Survey Navigation(CSN), were developed and applied to four versions of test bed web sites, which were then used in an experiment to test the effectiveness of the two navigation systems. Results from the experiment indicate that the two systems are indeed effective in aiding users to navigate in a large scale web site, and have more positive impacts when provided together. This paper ends with the limits of the study results and their implications to the development of large-scale web sites.

The creation of knowledge is a major concern for knowledge management practice. In particular, effective knowledge creation is one of the critical success factor in SI(System Integration) industry. This paper designs a framework of effective knowledge creation methods for organizations in SI industry. First, we give a comprehensive survey on knowledge creation and discovery methods. And the structure of SI knowledge has been analysed. Also, characteristics of knowledge management processes of SI industry have been surveyed and analysed. A framework for effective knowledge creation of SI organization has been discussed based on the characteristics of SI knowledge and knowledge management processes. Organizational issues and theoretical issues of the methods have been discussed. Future research will be needed to expand the current framework and to examine the effectiveness of the proposed framework.

VOQL* query language, recently proposed, is a visual language for object-oriented databases. It is based on Ven Diagram and graph, so that the underlying schema structure can be naturally implied in query expressions. In VOQL*, structural relationship among the objects used in a query expression is represented graphically and thus it has formal semantics that can be inductively defined, as well as it can be used with ease. In this paper, we proposed revised VOQL* and introduced its query processor, InQs(Intelligent Querying System). While retaining the merit of VOQL* that it allows the structural relationship among the objects to be represented visually, the revised VOQL* has another merit that users can formulate a query interactively using various forms supplied by InQs. As a query processor that translates queries in revised VOQL into those in ODMG OQL, InQs provides an environment in which users express queries in revised VOQL* and then the system automatically translates them into those in ODMG OQL. Translation algorithm of InQs is much simpler and intuitive than other algorithms used in QUIVER and other systems, since it reflects the formal semantics of VOQL*, which is defined inductively.

This paper examines the effects of environmental uncertainty, structural decentralization, formalization, complexity and task interdependence on the information sharing through information system. 197 firms in Korea are surveyed and analyzed to investigate the relationship between the contextual variables and the information sharing. The result of multiple regression analysis shows that task interdependence, structural decentralization, complexity are significant factors to influence on the Information Sharing. Also, additional analysis shows that task interdependence, structural decentralization are major factors in service industry, and task interdependence, structural complexity are in manufacturing industry.

Despite the large and ongoing investments in information systems and technologies, many organizations still suffer from the lack of integration and interoperability of multiple information systems, In order to deal with these enduring problems, a number of government organizations and corporate firms in the United States have developed and maintained IT architectures through enterprise architecture planning. An IT architecture is a decision-making framework for IT planners and developers, establishing guidelines for the individual IT resource owners and users. It provides guidance to those involved in building and maintaining IT systems and infrastructure. Enterprise architecture planning represents a new paradigm of information systems planning in that it addresses the long-term view of the enterprise organization from top-level principles to detailed technology architectures. This paper explores a couple of cases in the successful implementation of IT architectures in both public and private sectors, and proposes a step-by-step methodology for building an effective IT architecture.

As the Internet is used extensively, multimedia information becomes more prevailing and accessible. However, legacy decision support systems rarely mention how to put such multimedia contents into practical use for decision making and support. In particular, no proposals have yet been made on how to integrate the decision technologies and multimedia databases in model management systems. Hence, the aim of this paper is to propose a new model management method to integrating decision technologies and an image database management system to create a multimedia decision support. For this purpose, extended ARG and structured modeling techniques are adopted, to represent image contents and mathematical models respectively. A web-based prototype system is presented to illustrate the feasibility and usability of the methodology.

The previous BPR success factor research assumes that a success factor is responsible for both the success and failure of the BPR implementation. This paper proposes that a BPR success factor is not necessarily a failure factor, i.e., success and failure of BPR implementation are two distinct phenomena that possess different sets of causal factors. The paper also proposes that the factors are different in terms of the degree and type of influence they exert on the BPR implementation. An empirical research was conducted to validate the propositions. The research results indicate that the BPR success and failure have different causal factor sets, and that the factor influence manifests in different realms and domains. The implications of the research are discussed at the end.