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Effects of Personalized Demands on the Digital Diffusion of Enterprises: A Complex Network Evolution Game Model-Based Study

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  • Songtao He

    (Shanghai University)

  • Yifan Tang

    (Hunan Agricultural University)

Abstract

This article uses a complex network evolution model to analyze the impact of the proportion of personalized demand population and willingness to pay on the diffusion of enterprise digital strategies through digital simulation. The research results show that (1) the proportion of the population and willingness to pay have a positive effect on promoting the diffusion of enterprise digitization, but the latter’s effect has a marginal diminishing effect; (2) willingness to pay cannot guarantee 100% industrial digitization. When these two factors are low, the diffusion of enterprise digitization will fail, and the degree of failure is influenced by the concentration, degree, and distribution of competition; (3) in general, the overall average revenue of enterprises is positively correlated with the proportion of the population and willingness to pay, but the latter has a relatively small effect on digital diffusion. Therefore, the following two policy recommendations are proposed: to strengthen demand-side structural reform, to reasonably allocate consumer demand, and to promote the diffusion of industrial digitization and avoid excessive competition among enterprises. This article expands the theory of industrial digitization from the perspectives of market demand and innovation diffusion and from the demand side to provide references for constructing effective policies for the development of industrial digitization in the digital economy.

Suggested Citation

  • Songtao He & Yifan Tang, 2024. "Effects of Personalized Demands on the Digital Diffusion of Enterprises: A Complex Network Evolution Game Model-Based Study," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 12854-12880, September.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:3:d:10.1007_s13132-023-01573-6
    DOI: 10.1007/s13132-023-01573-6
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    References listed on IDEAS

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