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

Author

Listed:
  • Jianhua Zhu

    (Harbin Institute of Technology (Weihai))

  • Julien S. Baker

    (Hong Kong Baptist University)

  • Zhiting Song

    (Jiangxi University of Science and Technology)

  • Xiao-Guang Yue

    (European University Cyprus)

  • Wenqi Li

    (Nanyang Technological University)

Abstract

In recent years, digital transformation (DT) has become an inevitable choice for manufacturing enterprises to achieve sustainable development. As a large number of enterprise groups, small and medium-sized manufacturing enterprises (SMMEs) play an important role in the industrial development of China. However, due to insufficient resource investment, high transformation costs, lack of talents, and unclear transformation pathways, how the government can help SMMEs carry out DT has become an important research topic. Based on this background, this study considers the strategies of government, third-party demonstration enterprises (TDEs) and SMMEs, develops and builds a three-party evolutionary game model, and puts forward a governance mechanism for effective DT strategies (TDEs guide DT and SMMEs conduct DT). This study has drawn many interesting conclusions. (1) If the government chooses not to regulate, when SMMEs are risk-neutral, the government only needs to increase the rewards for SMMEs to effectively promote DT. When SMMEs are risk-averse, the government needs to increase the penalties for SMMEs and increase the rewards for TDEs to effectively promote DT. (2) If the government chooses to regulate, when SMMEs are risk-neutral, the government needs to increase the penalties for both TDEs and SMMEs to effectively promote DT. When SMMEs are risk-averse, the government only needs to increase penalties on SMMEs or TDEs to effectively promote DT. (3) When SMMEs are risk-averse, the government’s best choice is regulation. Because when the government does not regulate, DT may fail even if the government increases the penalties for SMMEs and increases the incentives for TDEs.

Suggested Citation

  • Jianhua Zhu & Julien S. Baker & Zhiting Song & Xiao-Guang Yue & Wenqi Li, 2023. "Government regulatory policies for digital transformation in small and medium-sized manufacturing enterprises: an evolutionary game analysis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
  • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02250-4
    DOI: 10.1057/s41599-023-02250-4
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    References listed on IDEAS

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    1. Eller, Robert & Alford, Philip & Kallmünzer, Andreas & Peters, Mike, 2020. "Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization," Journal of Business Research, Elsevier, vol. 112(C), pages 119-127.
    2. Henderson, Dylan, 2020. "Demand-side broadband policy in the context of digital transformation: An examination of SME digital advisory policies in Wales," Telecommunications Policy, Elsevier, vol. 44(9).
    3. David Tilson & Kalle Lyytinen & Carsten Sørensen, 2010. "Research Commentary ---Digital Infrastructures: The Missing IS Research Agenda," Information Systems Research, INFORMS, vol. 21(4), pages 748-759, December.
    4. Hongda Liu & Haifeng Zhao, 2022. "Upgrading models, evolutionary mechanisms and vertical cases of service-oriented manufacturing in SVC leading enterprises: Product-development and service-innovation for industry 4.0," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-24, December.
    5. Christine Legner & Torsten Eymann & Thomas Hess & Christian Matt & Tilo Böhmann & Paul Drews & Alexander Mädche & Nils Urbach & Frederik Ahlemann, 2017. "Digitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(4), pages 301-308, August.
    6. Mazumder, Sudipto & Garg, Swapnil, 2021. "Decoding digital transformational outsourcing: The role of service providers’ capabilities," International Journal of Information Management, Elsevier, vol. 58(C).
    7. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril & Papadopoulos, Thanos, 2023. "Dynamic digital capabilities and supply chain resilience: The role of government effectiveness," International Journal of Production Economics, Elsevier, vol. 258(C).
    8. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    9. Alexandre Moeuf & Samir Lamouri & Robert Pellerin & Simon Tamayo-Giraldo & Estefania Tobon-Valencia & Romain Eburdy, 2020. "Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1384-1400, March.
    10. Chen, Hansong & Tian, Zhen, 2022. "Environmental uncertainty, resource orchestration and digital transformation: A fuzzy-set QCA approach," Journal of Business Research, Elsevier, vol. 139(C), pages 184-193.
    11. Saarikko, Ted & Westergren, Ulrika H. & Blomquist, Tomas, 2020. "Digital transformation: Five recommendations for the digitally conscious firm," Business Horizons, Elsevier, vol. 63(6), pages 825-839.
    12. Matarazzo, Michela & Penco, Lara & Profumo, Giorgia & Quaglia, Roberto, 2021. "Digital transformation and customer value creation in Made in Italy SMEs: A dynamic capabilities perspective," Journal of Business Research, Elsevier, vol. 123(C), pages 642-656.
    13. Yusif Simaan, 1997. "Estimation Risk in Portfolio Selection: The Mean Variance Model Versus the Mean Absolute Deviation Model," Management Science, INFORMS, vol. 43(10), pages 1437-1446, October.
    14. Ilaria Brunetti & Yezekael Hayel & Eitan Altman, 2018. "State-Policy Dynamics in Evolutionary Games," Dynamic Games and Applications, Springer, vol. 8(1), pages 93-116, March.
    15. Zhu, Jianhua & Sun, Yanming, 2020. "Dynamic modeling and chaos control of sustainable integration of informatization and industrialization," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
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