Network evolution of diffusion in enterprise digitalization and intellectualization transformation: A technology—organization—environment framework perspective

Huan Hu, Mingyu Zhao and Xiaoyi Zhang

PLOS ONE, 2023, vol. 18, issue 12, 1-23

Abstract: Enterprise digitalization and intellectualization (EDI) is a crucial aspect of China’s modernization process. However, uncertainty in market and business decisions hinders the EDI diffusion process in China. Therefore, this research aims to solve the uncertainty problem of EDI diffusion by examining market demand and government policy coordination. First, we utilize complex network game theory and establish a technology–organization–environment framework for the factors that influence the elements of EDI transformation by combining evidence from existing studies. Second, the network game model is constructed to analyze and optimize the updating rules in the network as a diffusion strategy that enterprises under the uncertain market can adopt. Finally, the impact of adjusting government subsidies and different premiums on the diffusion of EDI transformation strategies is examined. The degree of market diffusion and average revenue of EDI are higher after the optimization of network node strategy updating rules compared to before optimization. Further analysis reveals that only the premium effect of product pricing and inverted U-shaped subsidy support from the government affect the degree of market diffusion and the average revenue of EDI, while the other premium effects are not significant. These findings enrich research related to complex networks and nonlinear dynamic strategies. They also indicate recommendations for government policies to enhance diffusion efficiency and reasonable pricing for enterprises to promote returns.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0295327

DOI: 10.1371/journal.pone.0295327

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