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Coupled Simultaneous Evolution of Policy, Enterprise Innovation Awareness, and Technology Diffusion in Multiplex Networks

Author

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  • Jingyi Wang

    (Ministry of Education Key Laboratory of NSLSCS, Nanjing Normal University, Nanjing 210023, China)

  • Rui Hu

    (College of Mathematics and Computer Science, Tongling University, Tongling 244061, China)

  • Hua Xu

    (Department of Mathematics, Nanjing Normal University Taizhou College, Taizhou 225300, China)

Abstract

This study comprehensively examines the coupling effect of government policies, enterprise behavior, and existing technology on the diffusion of innovative technology. Utilizing multiplex network theory, a multiplex network model is constructed to couple policy incentives, enterprise innovation consciousness, and technology diffusion. Both global- and local-order parameters are introduced to characterize the interaction mechanisms between new and old technologies. By employing the microscopic Markov chain approach (MMCA), the threshold for technology diffusion is derived, theoretically revealing the mechanisms behind the diffusion of innovative technology. Considering the heterogeneity of enterprises, a numerical simulation is conducted on a scale-free network. The results indicate that, as the intensity of policy incentives increases, the threshold for technology diffusion decreases, promoting the spread of innovative technology. Additionally, the coupling relationship between existing technology and innovative technology influences the diffusion scale of the latter. The innovation behavior of enterprises further facilitates the adoption and dissemination of innovative technology.

Suggested Citation

  • Jingyi Wang & Rui Hu & Hua Xu, 2024. "Coupled Simultaneous Evolution of Policy, Enterprise Innovation Awareness, and Technology Diffusion in Multiplex Networks," Mathematics, MDPI, vol. 12(13), pages 1-19, July.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:13:p:2078-:d:1427816
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    References listed on IDEAS

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