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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/73495
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/73495


    Title: Emerging organizational structure for knowledge-oriented teamwork using genetic algorithm
    Authors: 陳春龍
    Huang, Hsiao-Tzu;Chen, Chuen-Lung
    Contributors: 資管系
    Keywords: Match;Organizational structure;Knowledge sharing and support;Genetic algorithm
    Date: 2009-12
    Issue Date: 2015-02-12 14:18:58 (UTC+8)
    Abstract: Organizations have historically sought efficiency improvements through different combinations of materials, components, production and processes to get better performance. However, in this age of the knowledge economy, the new organizational management has shifted its focus to the proper use of the knowledge of employees to create greater output and performance. There is a recent trend towards flat organizations and team-orientated structures, therefore this study will concentrate on the knowledge-oriented teamwork. To construct the fitting team structure, we solve the problem in two stages. In the first stage, we assign the proper tasks to the proper members to achieve a good match for effective usage of organizational knowledge. In the second stage, we solve the problem of insufficient knowledge within the organizational structure generated in the first stage by adjusting the positions of members to improve the mutual coordination and knowledge sharing and support. We applied a basic genetic algorithm (BGA) to solve the problems in both the stages. Five factors, such as member/task number, the number of knowledge types, the number of task types, the average complexity of each member’s knowledge types and the average complexity of task knowledge types, are considered to generate different types of problems. Computational results show that the BGA is able to find optimal knowledge matching for small-sized problems in the first stage, and that the BGA is able to improve the organizational structure generated in the first stage in order to reduce the communication cost of knowledge support among the members in the second stage.
    Relation: Expert Systems with Applications,36(10),12137-12142
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/j.eswa.2009.03.062
    DOI: 10.1016/j.eswa.2009.03.062
    Appears in Collections:[資訊管理學系] 期刊論文

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