지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- (주)엘지씨엔에스(구LGCNS엔트루정보기술연구소) Entrue Journal of Information Technology Entrue Journal of Information Technology Vol.4 No.1
- 발행연도
- 2005.1
- 수록면
- 79 - 89 (11page)
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초록· 키워드
오류제보하기
With recent advance of information technology, more and more organizations buy their IT systems from software venders instead of building own systems in-house. When adopting a new information system solution, organizations experience increasing difficulty in decision making because information technology is changing so rapidly these days. Therefore, organizations have been looking for industry standards and proven methods of selection that they can utilize to choose the best information systems solution. In this study, we suggest a solution selection model of information systems using fuzzy AHP (Analytical Hierarchy Process) to maximize the return on investment in information technology. To select an optimum solution, we need to consider a number of different quantitative and qualitative factors such as cost, user interface and convenience, reference site, and so on. This study focuses on quantitative factors, applying the fuzzy concept to various evaluative factors. Based on through data analysis, we suggest a complex solution selection model called Cost Normalization Model, which takes both qualitative and quantitative factors into consideration. In the solution selection process, one of the most important factors is cost, which is not a fuzzy number (crisp number). We converted cost into a fuzzy number to compare it with other quantitative factors. To test the suggested model, we performed a simulation with a real case of selecting an e-Learning solution.
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