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인터넷 공동구매 신뢰와 참여에 영향을 미치는 요인에 관한 연구
고일상,장정주,이영훈 한국정보기술응용학회 2002 한국정보기술응용학회학술대회 Vol.2002 No.1
인터넷을 이용한 전자상거래의 급속한 성장과 경쟁의 심화로 다양한 구매방식, 비즈니스 모델들이 등장하고 있다. 그 중 최근 들어 인터넷 종합 쇼핑몰과 소비자들에게 새로운 비즈니스 모델로 자리잡아 가고 있는 공동구매에 대해서 살펴보고, 공동구매 신뢰와 참여에 영향을 주는 요인을 도출하여 이를 실증연구 하였다. 실증연구 결과는 다음과 같다. 첫째, 공동구매 신뢰에 영향을 미치는 요인과 공동구매 참여에 영향을 미치는 요인이 다르게 나타났다. 둘째, 공동구매 참여에는 지각된 명성, 친밀감, 상품가치가 유의한 영향을 미치는 것으로 나타났다. 셋째, 고객서비스는 공동구매 신뢰와 참여에 모두 유의한 영향을 미치지 못하였다. 넷째, 상품가치는 공동구매 신뢰와 참여에 공통으로 유의한 영향을 미치고 있는 것으로 나타났다. 다섯째, 공동구매 신뢰는 공동구매 참여에 유의한 영향을 미치는 것으로 나타났다.
인터넷쇼핑몰에서 신뢰와 친밀감이 고객충성도에 미치는 영향에 관한 연구
고일상,최수정,Ko, Il-Sang,Choi, Su-Jeong 한국경영정보학회 2005 Asia Pacific Journal of Information Systems Vol.15 No.3
In the Internet-based B2C e-commerce, trust has been recognized as a critical factor to reduce uncertainties, through interacting with a well-known specific shopping mall. In this study, we view customer trust as not a unitary concept but multidimensional one consisted of the trustworthiness of trustee, familiarity with the specific shopping-mall, disposition to trust, and institution-based trust. In this study, first, we considered the trustworthiness of trustee consisted of capability, benevolence, and integrity as one of the major factors to build customer trust on the specific Internet shopping-mall. In the context of the Internet e-commerce, the role of institutional structures is very important to assure the customer trust from the various opportunistic behaviors because of the characteristics of internet-based commerce such as impersonality, the lack of information on the other party, and the transactions with a number of anonymous people. Second, we examined the effect of the institution-based trust built by institutional structures on customer trust. Third, we examined the effect of customer trust and familiarity on retaining customer loyalty. Our findings showed that customer trust and familiarity played a major role in retaining customer loyalty with the specific shopping-mall. In conclusions, we discussed the strategies to build the customer loyalty for maintaining the customer. We suggest customer trust and familiarity for the factors to bind the customer with the specific shopping-mall based on these results.
타부탐색, 메모리, 싸이클 탐지를 이용한 배낭문제 풀기
고일상 한국경영과학회 1996 한국경영과학회 학술대회논문집 Vol.- No.1
In solving multi-level knapsack problems, conventional heuristic approaches often assume a short-sighted plan within a static decision environment to find a near optimal solution. These conventional approaches are inflexible, and lack the ability to adapt to different problem structures. This research approaches the problem from a totally different viewpoint, and a new method is designed and implemented. This method performs intelligent actions based on memories of historic data and learning. Theses actions are developed not only by observing the attributes of the optimal solution, the solution space, and its corresponding path to the optimal solution, but also by applying human intelligence, experience, and intuition with respect to the search strategies. The method intensifies, or diversifies the search process appropriately in time and space. In order to create a good neighborhood structure, this method uses two powerful choice rules that emphasize the impact of candidate variables on the current solution with respect to their profit contribution. A side effect of so-called "pseudo moves," similar to "aspirations," supports these choice rules during the evaluation process. For the purpose of visiting as many relevant points as possible, strategic oscillation between feasible and infeasible solutions around the boundary is applied for intensification. To avoid redundant moves, short-term (tabu-lists), intermediate-term (cycle detection), and long-term (recording frequency and significant solutions for diversification) memories are used. Test results show that among the 45 generated problems (these problems pose significant or insurmountable challenges to exact methods) the approach produces the optimal solutions in 39 cases.