Science Research Management ›› 2025, Vol. 46 ›› Issue (9): 145-156.DOI: 10.19571/j.cnki.1000-2995.2025.09.015

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The knowledge co-evolution mechanism of technical standard alliance with multi-agents in multi-domains

Zhou Qing1,2, Tian Meichen2, Chen Wenchong1,2, Wu Zhengyi2   

  1. 1. Experimental Center of Data Science and Intelligent Decision-Making, Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China; 
    2. College of Management, Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China
  • Received:2023-12-21 Revised:2025-01-22 Online:2025-09-20 Published:2025-09-09

Abstract:   The formation of technical standards requires the collaborative coupling of multi-domain technical knowledge. From the perspective of multi-domain knowledge collaboration, this paper firstly constructed a multi-domain knowledge creation and diffusion evolution model to distinguish the dominant and ordinary knowledge agents in the alliance, and put forward a measure index of knowledge module complementarity to measure the technical standardization ability of the alliance. A computational simulation model was built to observe the effect of knowledge co-evolution with multi-agents in multi-domains. The results showed that: (1) With the process of knowledge creation and diffusion, the knowledge module complementarity in the alliance is gradually enhanced, and the technical standardization ability is improved; (2) There is an inverted U-shaped relationship between knowledge module complementarity and knowledge diffusion efficiency of the alliance, and proper knowledge diffusion efficiency can promote the evolution of the strongest knowledge module complementarity; (3) Knowledge creation has a more significant impact on the evolution result than knowledge diffusion, and the knowledge module complementarity is positively correlated with the knowledge creation probability, in which the dominant agents change the knowledge creation probability better than the ordinary one; (4) the knowledge module complementarity is negatively correlated with the scale of dominant agents in the initial alliance, and it is an important issue for the alliance to reasonably determine the scale of dominant agents. The research results will provide important theoretical support and decision-making basis for improving the technical standardization ability and governance ability of the alliance. 

Key words:  technical standard alliance, multi-domain knowledge evolution, knowledge module complementarity, computational experiment