Stability Analysis of Collaborative Product Innovation Network Exposed to Knowledge Resource Loss

Jiafu Su, Fengting Zhang, Xuefeng Zhang, Na Zhang, Cong Miao, Quanxin Gan and Yan Xiao ()
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Jiafu Su: Chongqing Technology and Business University
Fengting Zhang: Chongqing Technology and Business University
Xuefeng Zhang: Anhui Polytechnic University
Na Zhang: China University of Mining and Technology
Cong Miao: International College, National Institute of Development Administration
Quanxin Gan: Guangxi University of Finance and Economics
Yan Xiao: Chongqing University of Technology

Journal of the Knowledge Economy, 2024, vol. 15, issue 1, No 138, 3380-3408

Abstract: Abstract The stability of collaborative organization is crucial for the successful functioning of collaborative product innovation network (CPIN), which is a typical open innovation platform. Knowledge resource loss, especially the human resource and knowledge resource, is the severe challenge for the stability of CPIN. Considering there mainly are two types of elements in CPIN, i.e., members and their knowledge, this paper builds a weighted super-network model for CPIN to integrate the two types of elements. Based on the weighted super-network model, a related nodes removal method is proposed to simulate the member loss and knowledge loss, then the quantitative analytical methods are proposed pertinently to measure and analyze the influence of member loss and knowledge loss on the CPIN stability. The case study results show the methods proposed in this paper can effectively reflect the member loss and knowledge loss, and measure and analyze the influence of their loss on the CPIN stability.

Keywords: Collaborative product innovation network; Knowledge resource management; Weighted super-network; Network stability; Knowledge resource loss (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13132-023-01187-y

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