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Ko, Ilsang 한국경영과학회 1997 한국경영과학회지 Vol.22 No.3
An AI approach with tabu search is designed to solve multi-level knapsack problems. The approach performs intelligent actions with memories of historic data and learning effect. These actions are developed not only by observing the attributes of the optimal solution, the solution space, and its corresponding path to the optimal, but also by applying human intelligence, experience, and intuition with respect to the search strategies. The approach intensifies, or diversifies the search process appropriately in time and space. In order to create a good neighborhood structure, this approach uses two powerful choice rules that emphasize the impact of candidate variables on the current solution with respect to their profit contribution. "Pseudo moves." similar to "aspirations" support 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. 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.
Mind-Wandering in task-oriented group : An application of The Theory of Interpersonal Behavior
Ilsang Ko 한국경영정보학회 2023 한국경영정보학회 학술대회논문집 Vol.2023 No.06
Mind-wandering consists of the process of thinking task-unrelated thoughts (TUT) during task performance. In a task-oriented group, the subject and the subject matter of team members’ mindwandering episodes are of critical interest to the team's performance. However, many writers suggested that mind-wandering may be more common in some circumstances than others. Understanding the social-psychological factors that precipitate mind-wandering in a technological setting is necessary because mind-wandering influences numerous outcomes connected with taskoriented groups. Therefore, this paper aims to explore whether certain social-psychological factors predict self-reported engagement behavior in a number of TUT in the assessment of attitudes. Specifically, our objectives are to put in place behavioral experience sampling methodologies and probe-caught methodologies for measuring online mind-wandering. We intend to design a set of virtual teams using laboratory experiments followed by survey. Our study aims to add to the body of research on virtual teams and mind-wandering by determining the relation between attitude, social factors, and emotions of team members and self-reported engagement in TUT.
Ko, Ilsang 조선대학교 경영경제연구소 1996 經營經濟硏究 = Management and economics research Vol.19 No.2
In building a system within an object-oriented environment, several factors of problem characteristics should be considered carefully to determine what kind of objects be created, what kind of relationships between objects be developed to reach a parent-child structure, and what attributes and behaviors be defined within each object. These factors include the decomposability of problem domain, its stability, its structuredness, the role of entities, their changeability, their number, their complexity, their possible groups, and the decomposability of processes. The same factors not only impact important OOAD design decisions, but also be used as a tool to assess whether the application system is well-designed or not. Two prototypical models, the City Network System and the Oochnori Gameboard, are developed and programmed in Smalltalk, a well-known object-oriented programming language. These models are compared together in order to explain the impact of problem characteristics on design constructs. The suggested factors contribute to making important design decisions on class requirements, especially on class groupings and hierarchies. This study also suggests dozens of questions to be tested to evaluate the design of the application system.
커뮤니티 내 지식이전 프로세스의 영향요인과 인센티브의 조절효과에 관한 연구
고윤경(Yoonjung Ko),정경수(Kyungsoo Chung),고일상(Ilsang Ko) 한국인터넷전자상거래학회 2011 인터넷전자상거래연구 Vol.11 No.1
The purpose of this research is to identify the impact factors and the moderator of incentives of knowledge transfer process. Impact factors of knowledge transfer consist of three distinct characteristics: Individual characteristics(self-directness, individual information capability), cognitive community characteristics(trust, community-identity), quality characteristics(quality of knowledge, quality of community-construct). The incentives of knowledge transfer consist of psychological incentive and physical incentive. Knowledge transfer consists of three distinct process: knowledge acquisition, knowledge sharing and knowledge use. To verify we conducted a survey and collected data from 345 members of online community. Data were analyzed to test the hypotheses by SPSS 17.0, and LISREL 8.54. The results of this study founded that individual information capability, trust, community identity, quality of knowledge, and quality of system were statistically significant in knowledge transfer, however, self-directness was not statistically significant in knowledge transfer. Interact effect of knowledge acquisition and physical incentive on knowledge use was statistically significant. This study integrated and verified impact factors of individual characteristics, cognitive community characteristics, and characteristics of quality. This study proposes that existing communities can revitalize by promoting trust, community identity, quality of knowledge, quality of community construct, and incentives.