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梁光敏,申承澈 한국경영과학회 1990 韓國經營科學會誌 Vol.15 No.2
The problem analyzed in this paper is to specify a schedule for thesis committee allowing maximum committee members' preference over thesis topics and meeting time-slots while satisfying other related scheduling requirements such as prohibiting simultaneous assignment of a committee member to more than one committee at a time. Two mathematical programming approaches are presented to solve the thesis committee scheduling problem in a professional graduate school. They include LP-based branch-and-bound approach with linear subproblems with tighter added constraints and branch-and-bound approach with network subproblems. Characterization of the problem is analyzed to develop an efficient solution algorithm. Implementation and computational experiments are also performed for real size problems on an IBM PC/AT to show the relative performance of the proposed approaches along with an ordinary ILP solution approach.
정보 캐스케이드와 개인특성이 블로깅 의도에 미치는 영향
양광민,임병하,김용균,Yang, Kwang-Min,Lim, Byung-H.,Kim, Yong-Kyun 한국경영정보학회 2005 Asia Pacific Journal of Information Systems Vol.15 No.4
As new information technology(IT) adoption continues to produce many investment opportunities, imperfectly informed IT managers keep trying to acquire credible external signals to update their knowledge on new technologies. Such learning processes usually help them to reach better IT adoption decisions. In some cases, however, the opposite of the goal is achieved. Most IT managers quickly converge to the same adoption decision independent of their private information. Interestingly, such information cascade is the outcome of each individual decision maker's rational choice. A technology acceptance model(TAM) is adopted that has been widely used to predict the end-user's acceptance of a new technology. A model with individual charact-eristics and information cascade variables is constructed to explain user's intention in adopting blogging. The model is empirically tested with surveyed data. The results show that individual characteristics and information cascades have significant impacts in the case of blogging.