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Chinese Journal of Management Science ›› 2023, Vol. 31 ›› Issue (3): 259-267.doi: 10.16381/j.cnki.issn1003-207x.2022.0021

• Articles • Previous Articles    

A Study on the Model of Multi-individual Learning from Experience: From the Perspective of Matching between Information and Analytic Method

CHEN Guo-quan1, WANG Jing-yi1, LIN Yan-ling1, LIU Wei2, ZHOU Qi-wei3, XU Fen4   

  1. 1. School of Economics and Management, Tsinghua University, Beijing 100084, China;2. Business School, Central University of Finance and Economics, Beijing 100081, China;3. College of Management,Ocean University of China, Qingdao 266100,China;4. Institue of New Commercial Economy, Beijing Technology and Business University, Beijing 100048, China
  • Received:2022-01-05 Revised:2022-04-28 Published:2023-04-03
  • Contact: 陈国权 E-mail:chengqu@sem.tsinghua.edu.cn

Abstract: When multi-individual learns from experience, the matching between information and analytic methods will affect the learning efficiency. The concepts of the first matching and the second matching between information and analytic methods are put forward in this paper, when multi-individual learns from experience, the analytic method needs to match the information under the learning goal, that is, both the first matching and the second matching are satisfied. In this paper, a multi-individual learning process mechanism model based on the matching between information and analytic methods is constructed. It is considered that under the constraints of the available resources, multi-individual can improve the first matching and second matching between information and analytic methods to achieve the desired results, by dynamically switching between the two ways of searching information based on analytic methods and searching analytic methods based on information, thus improving the learning efficiency. Some practical tools, such as Delphi technique and nomial group technique, are also listed. The process that multi-individual improves the matching of information and analytic methods to improve learning efficiency are paid attention to, and theoretical basis and practical suggestions are provided for improving learning efficiency.

Key words: multi-individual learning from experience; time-space theory; information; analytic method; matching; learning efficiency

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