主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2023, Vol. 31 ›› Issue (1): 187-199.doi: 10.16381/j.cnki.issn1003-207x.2021.2695

• Articles • Previous Articles    

A Study on the Model of Multi-individual Learning from Experience: From the Perspectives of Information Heterogeneity and Analytic Method Heterogeneity

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. Institute of New Commercial Economy, Beijing Technology and Business University, Beijing 100048, China
  • Received:2021-12-30 Revised:2022-02-21 Published:2023-02-09
  • Contact: 陈国权 E-mail:chengqu@sem.tsinghua.edu.cn

Abstract: When multi-individual learns from experience, it often happens that they have different information and will use different analytic methods, which lead to low learning efficiency. Based on the space-time theory, the information heterogeneity and analytic method heterogeneity are analyzed, as well as the bridge structure of information structure heterogeneity and information content heterogeneity, and the analytic method set are constructed. The causes and corresponding solutions of the information and analytic method errors are expounded. Furthermore, a process model of multi-individual learning from experience is constructed from the perspectives of the heterogeneity information and analytic methods. It is considered that under the constraints of the available resources, multi-individual can improve the authenticity of information and the availability of analytic methods by cleaning and clearing, and improve the completeness of information and analytic methods by searching, to meet the specific requirements of learning goals, thus improving learning efficiency. Some practical tools are also listed in this paper. From the perspective of heterogeneity of information and analytic methods, the problems are explored that multi-individual may encounter when learning from experience and corresponding solutions, and theoretical basis and practical suggestions are provided for improving learning efficiency.

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

CLC Number: