管理评论 ›› 2021, Vol. 33 ›› Issue (10): 171-184.

• 电子商务与信息管理 • 上一篇    下一篇

知识生态视角下基于WSR的大型工程项目知识共享影响因素及实证研究

蒋甲丁1,2, 肖潇1, 张玲玲1,3   

  1. 1. 中国科学院大学经济与管理学院, 北京 100090;
    2. 新疆工程学院, 乌鲁木齐 830023;
    3. 中国科学院大数据挖掘与知识管理重点实验室, 北京 100190
  • 收稿日期:2019-07-22 出版日期:2021-10-28 发布日期:2021-11-29
  • 通讯作者: 张玲玲(通讯作者),中国科学院大学经济与管理学院教授,博士生导师,博士
  • 作者简介:蒋甲丁,中国科学院大学经济与管理学院博士研究生,新疆工程学院高级工程师;肖潇,中国科学院大学经济与管理学院博士研究生。
  • 基金资助:
    国家自然科学基金面上项目(72071194)。

The Influencing Factors and Empirical Research of Knowledge Sharing in Large Engineering Projects Based on WSR System Approach from the Perspective of Knowledge Ecology

Jiang Jiading1,2, Xiao Xiao1, Zhang Lingling1,3   

  1. 1. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100090;
    2. Xinjiang Institute of Engineering, Urumqi 830023;
    3. Key Laboratory of Big Date Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190
  • Received:2019-07-22 Online:2021-10-28 Published:2021-11-29

摘要: 针对大型工程项目实施过程中项目知识共享活动的特征,本文从知识生态视角出发,运用物理-事理-人理(WSR)系统方法论,从知识生态系统的主体、客体、知识环境和知识技术四个方面系统全面地探讨了大型工程项目知识共享效果的影响因素,构建基于WSR的大型工程项目知识共享效果影响因素模型,并提出了相关研究假设,结合调查数据采用结构方程模型实证研究了上述因素对大型工程项目知识共享效果的影响作用。分析结果表明:物理、事理和人理因素能显著影响大型工程项目知识共享效果。为进一步对大型工程项目知识共享效果的提升和控制策略的制定提供了方向。

关键词: 知识生态, WSR方法论, 大型工程项目, 知识共享, 影响因素

Abstract: In view of the characteristics of project knowledge sharing activities in the implementation process of large-scale engineering projects, this paper starts from the perspective of knowledge ecology and applies the Wuli-Shili-Renli (WSR) system approach. The influencing factors of knowledge sharing effect of large-scale engineering projects are systematically and comprehensively discussed from four aspects:subject, object, knowledge environment and knowledge technology of knowledge ecosystem, and we construct a model of influencing factors of knowledge sharing effect of large engineering projects based on WSR, then put forward the relevant research hypothesis. Combined with the survey data, the structural equation model is used to empirically study the influence of the above factors on the knowledge sharing effect of large-scale engineering projects. The analysis results show that Wuli, Shili and Renli factors can significantly affect the knowledge sharing effect of large-scale engineering projects, which provides a direction for the improvement of knowledge sharing effect and the formulation of control strategy for large-scale engineering projects.

Key words: knowledge ecology, WSR system approach, large-scale engineering projects, knowledge sharing, influencing factor