IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13682-d950072.html
   My bibliography  Save this article

Three-Party Evolutionary Game of Shared Manufacturing under the Leadership of Core Manufacturing Company

Author

Listed:
  • Peng Liu

    (School of Management, Shenyang University of Technology, Shenyang 110870, China)

  • Xiaoling Wei

    (School of Management, Shenyang University of Technology, Shenyang 110870, China)

Abstract

Shared manufacturing provides a new development direction for the transformation and upgrading of the manufacturing industry. This paper took a manufacturing company that masters core technology and has strong knowledge creation and spillover capabilities as the core manufacturing company. The core manufacturing company led two resource-complementary manufacturing companies in participating in shared manufacturing, and the additional benefits of each company participating in shared manufacturing were realized. Due to the bounded rational behavior of the participating companies and the difficulty in maximizing each’s own interests, this paper used the evolutionary game method and MATLAB to analyze the influencing factors of shared manufacturing among manufacturing companies. The goal of this study is to understand the decision-making behavior of manufacturing companies in a shared manufacturing context. The research results show that: The initial willingness to share, default losses, and excess income realized by the core manufacturing company as a result of delivering high service levels all contributed to the companies’ willingness to engage in shared production. The companies’ ability to participate in shared manufacturing was negatively impacted by cost-to-income ratio and speculative income. The allocation of additional income had a significant influence on the non-core enterprises’ decision-making: when the distribution ratio of additional income from non-core companies was low, non-core companies would be less willing to share. Although the additional income distribution ratio of core companies were high at the time, the service level of core companies would also decrease due to the reduction of non-core companies’ willingness to share.

Suggested Citation

  • Peng Liu & Xiaoling Wei, 2022. "Three-Party Evolutionary Game of Shared Manufacturing under the Leadership of Core Manufacturing Company," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13682-:d:950072
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13682/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/20/13682/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ji, Ping & Ma, Xin & Li, Gang, 2015. "Developing green purchasing relationships for the manufacturing industry: An evolutionary game theory perspective," International Journal of Production Economics, Elsevier, vol. 166(C), pages 155-162.
    2. Marta Biancardi & Gianluca Iannucci & Giovanni Villani, 2022. "An evolutionary game on compliant and non-compliant firms in groundwater exploitation," Annals of Operations Research, Springer, vol. 318(2), pages 831-847, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xingwei Li & Jingru Li & Yicheng Huang & Jinrong He & Xiang Liu & Jiachi Dai & Qiong Shen, 2022. "Construction enterprises’ adoption of green development behaviors: an agent-based modeling approach," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    2. Hua Pan & Huimin Zhu & Minmin Teng, 2023. "Low-Carbon Transformation Strategy for Blockchain-Based Power Supply Chain," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    3. Daozhi Zhao & Jiaqin Hao & Cejun Cao & Hongshuai Han, 2019. "Evolutionary Game Analysis of Three-Player for Low-Carbon Production Capacity Sharing," Sustainability, MDPI, vol. 11(11), pages 1-20, May.
    4. Zhi Li & Guanghao Jin & Shen Duan, 2018. "Evolutionary Game Dynamics for Financial Risk Decision-Making in Global Supply Chain," Complexity, Hindawi, vol. 2018, pages 1-10, October.
    5. Lixin Zhou & Jie Lin & Yanfeng Li & Zhenyu Zhang, 2020. "Innovation Diffusion of Mobile Applications in Social Networks: A Multi-Agent System," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    6. Imre Dobos & Gyöngyi Vörösmarty, 2021. "Supplier selection: comparison of DEA models with additive and reciprocal data," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(2), pages 447-462, June.
    7. Zhu, Chaoping & Fan, Ruguo & Lin, Jinchai, 2020. "The impact of renewable portfolio standard on retail electricity market: A system dynamics model of tripartite evolutionary game," Energy Policy, Elsevier, vol. 136(C).
    8. Weiwei Liu & Jianing Yang, 2018. "The Evolutionary Game Theoretic Analysis for Sustainable Cooperation Relationship of Collaborative Innovation Network in Strategic Emerging Industries," Sustainability, MDPI, vol. 10(12), pages 1-16, December.
    9. Fan Chen & Sen Liu & Andrea Appolloni, 2020. "Horizontal Coordination of I-LNGOs in the Humanitarian Supply Chain: An Evolutionary Game Approach," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    10. Jiahuan He & Xinggang Luo & Zhongliang Zhang & Yang Yu, 2021. "Strategic Analysis of Participants in the Provision of Elderly Care Services—An Evolutionary Game Perspective," IJERPH, MDPI, vol. 18(16), pages 1-27, August.
    11. Huang, Xingjun & Lin, Yun & Lim, Ming K. & Zhou, Fuli & Ding, Rui & Zhang, Zusheng, 2022. "Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public–private partnership cooperation," Energy, Elsevier, vol. 239(PD).
    12. Jianbo Zhu & Miao Fang & Qianqian Shi & Peng Wang & Qian Li, 2018. "Contractor Cooperation Mechanism and Evolution of the Green Supply Chain in Mega Projects," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    13. Bin Wu & Wanying Huang & Pengfei Liu, 2017. "Carbon Reduction Strategies Based on an NW Small-World Network with a Progressive Carbon Tax," Sustainability, MDPI, vol. 9(10), pages 1-22, September.
    14. Suhaib Aamir & Faseeh ur Raheem, 2019. "The Influence of Green Supply Chain on Environment Performance of Government Organization in Turkey: Mediating Role of Organizational Support," iRASD Journal of Management, International Research Alliance for Sustainable Development (iRASD), vol. 1(2), pages 63-73, December.
    15. Tiago Pinto & Zita Vale & Isabel Praça & E. J. Solteiro Pires & Fernando Lopes, 2015. "Decision Support for Energy Contracts Negotiation with Game Theory and Adaptive Learning," Energies, MDPI, vol. 8(9), pages 1-26, September.
    16. Ziang Liu & Tatsushi Nishi, 2019. "Government Regulations on Closed-Loop Supply Chain with Evolutionarily Stable Strategy," Sustainability, MDPI, vol. 11(18), pages 1-29, September.
    17. Keke Sun & Zeyu Xing & Xia Cao & Weijia Li, 2021. "The Regime of Rural Ecotourism Stakeholders in Poverty-Stricken Areas of China: Implications for Rural Revitalization," IJERPH, MDPI, vol. 18(18), pages 1-28, September.
    18. Wanting Chen & Zhi-Hua Hu, 2020. "Analysis of Multi-Stakeholders’ Behavioral Strategies Considering Public Participation under Carbon Taxes and Subsidies: An Evolutionary Game Approach," Sustainability, MDPI, vol. 12(3), pages 1-26, January.
    19. Shuxia Yang & Xianguo Zhu & Shengjiang Peng, 2020. "Prospect Prediction of Terminal Clean Power Consumption in China via LSSVM Algorithm Based on Improved Evolutionary Game Theory," Energies, MDPI, vol. 13(8), pages 1-17, April.
    20. Barbosa-Póvoa, Ana Paula & da Silva, Cátia & Carvalho, Ana, 2018. "Opportunities and challenges in sustainable supply chain: An operations research perspective," European Journal of Operational Research, Elsevier, vol. 268(2), pages 399-431.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13682-:d:950072. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.