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김승운,강희택 한국정보전략학회 1999 한국정보전략학회지 Vol.2 No.1
Lately, one of the most representative Information Technologies used for business management is the Internet. Although firms are showing much interests and investing a lot for their websites, not all of them are profitable. Over the years, a considerable number of papers have studied the evaluation of websites. Most of them have dealt with the evaluation of websites from the perspectives of developers or operators rather than from that of visitors. It would be appropriate for the website studies to focus on the general visitors. Also, most of the previous studies on website evaluation are not empirically tested. Therefore, the objective of this study is to test the important degree of the different evaluation criteria for evaluating the corporate websites in Korea, to suggest proper evaluation items from the visitors' perspective and to identify the important degree of each item. For these objectives, this study first designs questionnaires using 66 items for website evaluation from the existing literature on website evaluation, and performs web survey using the web panel. The panel consists of 542 web users. The panel members have been asked for rating the importance of the website evaltation items. Critical evaluation items from the visitors' perspective are derived.
지식관리시스템의 성공요인에 관한 탐색적 연구: 지각된 피드백을 중심으로
김승운 ( Seung Woon Kim ),강희택 ( Hee Taek Kang ) (주)엘지씨엔에스(구 LGCNS 엔트루정보기술연구소) 2011 Entrue Journal of Information Technology Vol.10 No.2
본 연구는 피드백 이론과 정보시스템 성공모형을 토대로 사용자가 등록한 지식에 대하여 받은 피드백(등록지식에 대한 피드백) 및 지식요청에 대하여 받은 피드백(요청지식에 대한 피드백)과 시스템 요인(시스템품질, 지식품질), 사용(지식기여, 지식수집), 사용자만족, 개인성과간의 관계를 탐색하기 위한 것이다. 분석결과, 등록지식에 대한 피드백은 지식기여에 영향을 미친 반면에 지식요청에 대한 피드백은 지식기여와 지식수집에 모두 영향을 미치는 것으로 나타났다. 사용자 만족은 지각된 피드백보다는 시스템 품질과 지식품질에 의해 결정되는 것으로 나타났으며, 지식품질은 지식기여와 지식수집에 영향을 미치는 것으로 나타났다. 사용자 만족은 지식기여, 지식수집, 개인성과에 영향을 미치고, 지식수집은 개인성과에 영향을 미치는 것으로 밝혀졌다. Based on feedback related theories and Information system success model, this study explores the relationship among feedback which donators receive on their knowledge (Feedback on Posted Knowledge), feedback which collectors receive from other users when they ask for knowledge (Feedback on Knowledge Request Postings), system characteristics (System Quality and Knowledge Quality), user satisfaction, use (Knowledge Donating, Knowledge Collecting), and individuall outcome. The results show, firstly, that feedback on posted knowledge affects knowledge donating only, while feedback on knowledge request postings influences both knowledge donating and know ledge collecting. Secondly, user satisfaction is determined by system quality and knowledge quality rather than perceived feedback, and knowledge quality, in turn, is positively related to both knowledge donating and knowledge collecting. Thirdly, user satisfaction has a significant impact on knowledge donating, knowledge collecting, and individual outcome, and knowledge collecting affects individual outcome.
전문가시스템과 인공신경망의 통합에 관한 이론적 검토 : A Theoretical review
김승운 전북대학교 산업경제연구소 1995 전북대학교 산업경제연구소 논문집 Vol.26 No.-
The Expert Systems (ES) and the Artificial Neural Networks (ANN) have been each demonstrated some specific advantages and disadvantages. These two technologies can be integrated to exploit the advantages and minimize the disadvantages of each method used alone. This article examines, the implications and strategies that are involved with the integration of these two technologies. Specifically, the strengths and weaknesses of each are explored, and a justification for integrating the two technologies is discussed. Several different strategies for expert system and neural network integration are reviewed, a survey of existing integrated systems is presented, and the challenges that are faced in integration are discussed.