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Construction and Research of a Novel Evolutionary Model of Crowdsourcing Collaborative Innovation Under Digitalization Trends

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  • Lichi Zhang
  • Yanyan Jiang
  • Junmin Wu

Abstract

Crowdsourcing collaborative innovation is an essential manifestation of innovation democratization, which is of great theoretical and practical significance to “mobilize the passion of innovation in the whole society.” Given this, this paper constructs a tripartite evolutionary game model of crowdsourcing collaborative innovation, which is “platform regulation, issuing‐lead, and receiving‐cooperation,” analyzes the strategic choices of the three parties in the process of crowdsourcing collaborative innovation. The influencing factors of crowdsourcing cooperation and innovation strategy selection were investigated by simulation analysis with ZBJ.com as the observation object. The results show that: the degree of impact exerted by the crowdsourced system, the lender, and the recipient on their readiness to collaborate varies; the amount of default penalty is controlled to enhance the network externality of the crowdsourcing platform appropriately, and the reasonable revenue distribution coefficient is maintained to keep the proportion of nonregulatory revenue low. The essence of this study is to analyze the influencing factors of crowdsourcing cooperative innovation through the evolutionary game method and help enterprises to find the innovation and upgrading paths under the value network; the platform‐based enterprises’ business platforms are intelligent, business processes are digitalized, and the business trend is green. This study is of practical value for firms to carry out innovative absorption of innovation resources, improve innovation performance, and promote innovation’s democratization process more effectively.

Suggested Citation

  • Lichi Zhang & Yanyan Jiang & Junmin Wu, 2025. "Construction and Research of a Novel Evolutionary Model of Crowdsourcing Collaborative Innovation Under Digitalization Trends," Journal of Mathematics, John Wiley & Sons, vol. 2025(1).
    • Handle: RePEc:wly:jjmath:v:2025:y:2025:i:1:n:8478007
    DOI: 10.1155/jom/8478007
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