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Government regulatory policies for digital transformation in small and medium-sized manufacturing enterprises: an evolutionary game analysis

Business

Government regulatory policies for digital transformation in small and medium-sized manufacturing enterprises: an evolutionary game analysis

J. Zhu, J. S. Baker, et al.

This insightful study explores how government regulatory policies can accelerate digital transformation in small and medium-sized manufacturing enterprises in China. The authors present a compelling analysis using a unique evolutionary game model, revealing that understanding SMMEs' risk preferences is key to effective policy design.

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Playback language: English
Abstract
This study investigates the role of government regulatory policies in promoting digital transformation (DT) among small and medium-sized manufacturing enterprises (SMMEs) in China. Using a three-party evolutionary game model involving the government, third-party demonstration enterprises (TDEs), and SMMEs, the study analyzes the impact of different government strategies (regulation vs. non-regulation) and policy instruments (rewards and penalties) on DT adoption. The findings highlight the importance of considering the risk preferences of SMMEs when designing DT policies and suggest that government regulation may be more effective when SMMEs are risk-averse.
Publisher
Humanities and Social Sciences Communications
Published On
Oct 28, 2023
Authors
Jianhua Zhu, Julien S. Baker, Zhiting Song, Xiao-Guang Yue, Wenqi Li
Tags
digital transformation
government policy
small and medium-sized enterprises
regulatory strategies
China
risk preferences
evolutionary game model
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