Finding the factors to affect the success of the business web sites is critical to enhance their competitiveness. This paper categorizes these factors into 4 quality measures: system, information, service and entertainment. The success is measured via user's satisfaction and loyalty. It surveys 474 Internet users to explore the effect of the quality measures on web site success. We confirm the causal effect of quality factors on users' satisfaction and loyalty. Furthermore, a comparative study is performed for web site types, such as finance, e-commerce(shopping mall), and entertainment. We note that the effect differs in web site types.

Since IT industry has changed very rapidly in technology, market environments, the cyber communities raise new social space. In spite of such growth of cyber communities, academic discussion is relatively limited. This Paper suggested several factors that affect the level of participator's loyalty on cyber communities. Participator's loyalty was classified into two categories, the psychological loyalty, which measure the psychological responses, and the behavior loyalty, which measure the absorption of time, the volume and frequency of visit to cyber communities. Consequently, this research has showed social awareness about cyber community culture and suggested the strategy directions for customer-oriented cyber Community Company.

Team decision making is a collective behavior that needs to be understood by considering properties belonging to team and individual member domains together. This paper introduces a conceptual model called "Dual-Level(DL)" model that describes a team decision-making process in terms of team level, member level, and the relationship between them. The team-level view explains the decision-making process by considering the team as a wholeand divides the process into three stages: Problem Conceptualization, Alternative Generation, and Selection. The member-level view describes what happens to individual members when they go through the group process and splits it into the five phases: Individual Cognitive Mapping, Problem Decomposition, Subproblem Session, Subproblem Integration, and Team Decision. The DL model works as a theoretical framework to explore team decision making by using a set of computational models of team design and team members. In practice, the conceptual framework is used to build a computational model of decision making team, called "Team-Soar."

Despite their potential value, the mobile Internet services in the domestic market have not been widely accepted as industry experts have expected. To understand why, this study uses the TAM, Technology Acceptance Model, and explores the factors affecting the usage behavior of the end-users. Based on statistical analysis of survey data, we show that social influence and perceived ease of use affect perceived usefulness, and that self-efficacy and focus significantly influence perceived ease of use. Furthermore, perceived usefulness is shown to play a significant role in explaining actual usage of the mobile Internet services. However, contrary to the hypothesized relationships, service quality, focus, and innovativeness of users turn out to have little impact on the traditional endogenous TAM variables such as perceived usefulness, perceived ease of use, and actual usage behavior. Based on these results, we attempt to provide managerial implications for the domestic mobile Internet service providers and to suggest future research directions in this domain of research.

This paper empirically examined the relationships between the characteristics of purchasing items and the effective e-procurement strategies. We found that the importance of items has influence on the effective e-procurement, while the complexity of purchasing process has little influence. This fact exhibits the automation of transactional process has little influence on carrying out e-procurement. We also found, companies prefer the horizontal e-marketplace to the vertical e-marketplace. In addition, companies want to purchase through the e-bidding or reverse auction for lower prices.

This paper proposes how to build an expert profile database in KMS, which provides the information of expertise that each expert possesses in the organization. To manage tacit knowledge in a knowledge management system, recent researches in this field have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise so that users can contact them for help. In this paper, we develop a framework to automate expert classification using a text categorization technique called Vector Space Model, through which an expert database composed of all the compiled profile information is built. This approach minimizes the maintenance cost of manual expert profiling while eliminating the possibility of incorrectness and obsolescence resulted from subjective manual processing. Also, we define the structure of expertise so that we can implement the expert classification framework to build an expert database in KMS. The developed prototype system, "Knowledge Portal for Researchers in Science and Technology," is introduced to show the applicability of the proposed framework.

Collaborative filtering is one of popular techniques for personalized recommendation in e-commerce sites. An advantage of collaborative filtering is that the technique can work with sparse evaluation data to predict preference scores of new alternative contents or advertisements. There is, however, no in-depth study about the sparsity effect of customer's evaluation data to the performance of recommendation. In this study, we investigate the sparsity effect and hybrid usages of customers' evaluation data and purchase data using an experiment result. The result of the analysis shows that the performance of recommendation decreases monotonically as the sparsity increases, and also the hybrid usage of two different types of data; customers' evaluation data and purchase data helps to increase the performance of recommendation in sparsity situation.

본 연구는 가상커뮤니티의 상업화에 관한 연구이다. 가상커뮤니티의 상업화에 미치는 영향요인을 문헌조사에 의하여 정리하고 가상커뮤니티 사이트를 실증 분석하였다. 공변량 구조방정식을 이용하여 연구모형을 제시하였으며 215개의 설문내용에 대해서 통계분석을 하였다. 본 연구결과는 현재 가상커뮤니티를 구축하거나, 운영중인 기업의 의사결정과 운영 전략 수립에 기여할 수 있을 뿐 아니라 가상커뮤니티의 비즈니스 모델을 제시하는데 유용한 자료가 될 것이다.