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Area of Science:

  • Economics
  • Systems Science
  • Management Science

Background:

  • Enterprise digitalization and intellectualization (EDI) is vital for China's modernization.
  • Market and business decision uncertainty impedes EDI diffusion.
  • Effective strategies are needed to overcome these diffusion barriers.

Purpose of the Study:

  • To address uncertainty in EDI diffusion by examining market demand and government policy coordination.
  • To develop and optimize network diffusion strategies for enterprises.
  • To analyze the impact of government subsidies and pricing premiums on EDI adoption.

Main Methods:

  • Utilized complex network game theory to establish a technology-organization-environment framework.
  • Constructed a network game model to analyze and optimize diffusion strategy updating rules.
  • Examined the influence of government subsidies and various premiums on EDI diffusion.

Main Results:

  • Optimized network node strategy updating rules led to increased market diffusion and average revenue for EDI.
  • Product pricing premiums and inverted U-shaped government subsidies significantly impacted EDI diffusion and revenue.
  • Other premium effects were found to be non-significant in influencing EDI adoption and revenue.

Conclusions:

  • Optimized network strategies enhance EDI diffusion and enterprise revenue under market uncertainty.
  • Government policies, specifically inverted U-shaped subsidies and strategic pricing, are crucial for promoting EDI.
  • Findings offer recommendations for policy enhancement and enterprise pricing strategies to boost EDI efficiency and returns.