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Research on Evolutionary Game of Collaborative Innovation in Supply Chain under Digitization Background

Author

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  • Meili Lu
  • Yujia Gao
  • Qin Wan

Abstract

The development of digital technology has been rapidly pushing forward collaborative innovation in supply chain. This paper analyzes the influence mechanism of information sharing, resource integration, and trustworthiness among the enterprises in supply chain to collaborative innovation under the digitization background and builds the model of dynamic evolutionary game in which enterprises in supply chain participate collaborative innovation, and then, through the methods of model solution analysis and numerical simulation the following concrete conclusions are reached: the increase of data sharing profit coefficient, resource integration coefficient, and trustworthiness causes the increase of the probability that an enterprise selects to participate collaborative innovation in supply chain, and the increase of data sharing cost, security risk coefficient, and free rider income causes the decrease of the probability that an enterprise selects to participate collaborative innovation in supply chain; meanwhile, the increase of all the coefficients makes the velocity with which decision-making approaches to the direction toward decision higher and higher, and when the core enterprises participate the game, they can drive the common enterprises make decision more rapidly; and for the probability that an enterprise selects to participate collaborative innovation in supply chain, data sharing profit coefficient, data sharing cost coefficient, security risk coefficient, and free rider income have threshold values. These conclusions play active roles in leading enterprises to attach importance to digitization construction and actively participate collaborative innovation in supply chain.

Suggested Citation

  • Meili Lu & Yujia Gao & Qin Wan, 2021. "Research on Evolutionary Game of Collaborative Innovation in Supply Chain under Digitization Background," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-18, November.
  • Handle: RePEc:hin:jnlmpe:3511472
    DOI: 10.1155/2021/3511472
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    Cited by:

    1. Ling Cao & Jie Yin, 2023. "Research on Sharing Behavior Strategy of Cultural Heritage Institutions Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 15(13), pages 1-23, June.

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