The purpose of this study is to identify the factors affecting the performance of knowledge management systems. To extend DeLone & MeLean's model, we included the user specialization in the information systems success model. The questionnaires are collected from 109 knowledge management system users. The major findings are summarized as followed. First, system characteristics such as ease of use, response time, and knowledge management process support affect the knowledge management systems usage. Second, knowledge characteristics such as relevancy, completeness, reliability, importance, and currency also affect the knowledge management systems usage. Third, the end-users are satisfied with the knowledge management systems because it is easy to use and relevant.

This study examines control types of IS outsourcing project management focusing on two sets of questions: What control types are implemented during IS outsourcing projects? How various control types affect the performance of IS outsourcing projects. In order to meet these objectives, four control types are developed using typology-approach: dynamic, contract-oriented, partnership-oriented, and passive. And then four control types are identified based on taxonomy-approach using cluster analysis from 66 projects: dynamic, contract-oriented, passive, and middle. The result shows that the derived taxonomy-types are similar to the typology-types except partnership-oriented type. The result also indicates that dynamic and contract-oriented types are in the highest performance, while passive type is in the least performance.

This study develops the evaluation model for e-Business company using analytic hierarchy process. As the first step of this study, we derived the appraisal standards based on the previous literature and the knowledge of experts from venture capitalists, security companies, credit evaluation companies, and consulting firms. In order to validate the evaluating factors in the models, this study was supported by analysts of top ranked venture capitalists in Korea. Through their assistance, this study can determine necessary evaluating factors that refined and deepened the models. Four expert groups, such as venture capitalists, credit analysts, analysts of security company and e-Business consultants, provide their knowledge for the determination of the weights of evaluating factors in the hierarchical model through the questionnaires and interviews. The results show that the weights of the evaluating factors differed by the maturity of e-Business company.

Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering is known to be the most successful recommendation technology, but its widespread use has exposed some problems such as sparsity and scalability in the e-business environment. In this paper, we propose a recommendation system, WebCF-PT based on Web usage mining and product taxonomy to enhance the recommendation quality and the system performance of traditional CF-based recommender systems. Web usage mining populates the rating database by tracking customers' shopping behaviors on the Web, so leading to better quality recommendations. The product taxonomy is used to improve the performance of searching for nearest neighbors through dimensionality reduction of the rating database. A prototype recommendation system, WebCF-PT is developed and Internet shopping mall, EBIB(e-Business & Intelligence Business) is constructed to test the WebCF-PT system.

IT has affected the hospital management via information systems and multimedia systems such as hospital information systems(HIS) and Order Communication System(OCS). A large number of researches have been done on the topic of success factors of information systems implementation, but a few on the topics of hospital information systems. Thus in this study, the success factors of the military hospital information systems implementation was analysed. To this end, a number of previous researches were reviewed and about 71 items of success factors were deduced. For doing empirical analysis, a questionnaire with 71 items was prepared and sent to proper organizations. The statistical analysis such as factor analysis was applied to about 400 of them returned. The six success factors and 20 sub success factors were resulted from factor analysis. The six success factors include systems management factor, technology and organization factor, the efficiency of IT department factor, technology application factor, outsourcing factor and environment factors. This study finds the outsourcing and environment factors are very important factors as much as other success factors which previously were mentioned.

This study is to develop an information security management model(ISMM) for small and medium sized enterprises(SMEs). Based on extensive literature review, a five-pillar twelve-component reference ISMM is developed. The five pillars of SME's information security are: centralized decision making, ease of management, flexibility, agility and expandability. Twelve components are: scope & organization, security policy, resource assessment, risk assessment, implementation planning, control development, awareness training, monitoring, change management, auditing, maintenance and accident management. Subsequent survey designed and administered to expose experts' perception on the importance of these twelve components revealed that five out of tweleve components require relatively immediate attention than others, especially in SME's context. These five components are: scope and organization, resource assessment, auditing, change management, and incident management. Other seven components are policy, risk assessment, implementation planning, control development, awareness training, monitoring, and maintenance. It seems that resource limitation of SMEs directs their attention to ISMM activities that may not require a lot of resources. On the basis of these findings, a three-phase approach is developed and proposed here as an SME ISMM. Three phases are (1) foundation and promotion, (2) management and expansion, and (3) maturity. Implications of the model are discussed and suggestions are made for further research.

In order to explore a relationship among KM context, KM effects, and sustainability of competitive advantage of organizations, a contingency model of KM, which is based on resource-based as well as knowledge-based theory, is developed from the information systems and strategic management literature. To put it concretely, our motivation for this paper was to answer the following questions: (1) What factors affect the degree to which an organization achieves KM effects? (2) Is there a positive relationship between KM effects and organizational performance achieved by linking KM to competitive advantage? A detailed exploratory analysis of survey responses from 79 Korean companies provides the following significant findings: (1) This study found support for the proposed research model. (2) The organization's degree of process and organizational outcomes of KM effects is determined by technical and social resources and its capabilities. Furthermore, the influence of technical and social resources of KM context on process and organizational outcomes of KM effects is controlled by different types of organizational perspectives on KM. (3) There is a relationship between process and organizational outcomes of KM effects and organizational performance enhanced by linking KM to competitive advantage.