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A process mining based approach to knowledge maintenance

Author

Listed:
  • Ming Li

    (Beijing University of Aeronautics and Astronautics
    School of Business Administration, China University of Petroleum)

  • Lu Liu

    (Beijing University of Aeronautics and Astronautics)

  • Lu Yin

    (Beijing University of Aeronautics and Astronautics)

  • Yanqiu Zhu

    (China State Construction Engineering Corporation 1st Bureau Ltd)

Abstract

The quality of knowledge in the knowledge repository determines the effect of knowledge reusing and sharing. Knowledge to be reused should be checked in advance through a knowledge maintenance process. The knowledge maintenance process model is difficult to be constructed because of the balance between the efficiency and the effect. In this paper, process mining is applied to analyze the knowledge maintenance logs to discover process and then construct a more appropriate knowledge maintenance process model. We analyze knowledge maintenance logs from the control flow perspective to find a good characterization of knowledge maintenance tasks and dependencies. In addition, the logs are analyzed from the organizational perspective to cluster the performers who are qualified to do the same kinds of tasks and to get the relations among these clusters. The proposed approach has been applied in the knowledge management system. The result of the experiment shows that our approach is feasible and efficient.

Suggested Citation

  • Ming Li & Lu Liu & Lu Yin & Yanqiu Zhu, 2011. "A process mining based approach to knowledge maintenance," Information Systems Frontiers, Springer, vol. 13(3), pages 371-380, July.
    • Handle: RePEc:spr:infosf:v:13:y:2011:i:3:d:10.1007_s10796-010-9287-4
    DOI: 10.1007/s10796-010-9287-4
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    References listed on IDEAS

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    1. Kane, Aimee A. & Argote, Linda & Levine, John M., 2005. "Knowledge transfer between groups via personnel rotation: Effects of social identity and knowledge quality," Organizational Behavior and Human Decision Processes, Elsevier, vol. 96(1), pages 56-71, January.
    2. Ikujiro Nonaka, 1994. "A Dynamic Theory of Organizational Knowledge Creation," Organization Science, INFORMS, vol. 5(1), pages 14-37, February.
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    Cited by:

    1. Zerbino, Pierluigi & Stefanini, Alessandro & Aloini, Davide, 2021. "Process Science in Action: A Literature Review on Process Mining in Business Management," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    2. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.

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