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Game theory-based models in green supply chain management: a review of the literature

Author

Listed:
  • Maher Agi

    (ESC [Rennes] - ESC Rennes School of Business)

  • Sohrab Faramarzi-Oghani

    (ESC [Rennes] - ESC Rennes School of Business)

  • Öncü Hazir

    (ESC [Rennes] - ESC Rennes School of Business)

Abstract

This paper provides a systematic review and analysis of the game-theroy-based research in Green Supply Chains Management (GSCM). Based on a rigorous content analysis of 108 papers carefully selected from the literature, we present a detailed picture of the current state of this research and point to the promising future directions. Our analysis shows a rapid increase in the number of publications during the last three years, with an imbalance in the contribution of the publishing outlets, as nearly two third of the reviewed papers are published by only four journals. Results also show the dominance of deterministic static models and simple two-level SC structures. Developing stochastic models, considering the risk and the evolutionary nature that inherently characterise the business environment and investigating more complex multi-level SC structures are among the promising future research opportunities.

Suggested Citation

  • Maher Agi & Sohrab Faramarzi-Oghani & Öncü Hazir, 2021. "Game theory-based models in green supply chain management: a review of the literature," Post-Print hal-03330012, HAL.
    • Handle: RePEc:hal:journl:hal-03330012
    DOI: 10.1080/00207543.2020.1770893
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    Citations

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    Cited by:

    1. Cai, Jianhu & Sun, Haining & Shang, Jennifer & Hegde, Gajanan G., 2023. "Information structure selection in a green supply chain: Impacts of wholesale price and greenness level," European Journal of Operational Research, Elsevier, vol. 306(1), pages 34-46.
    2. Sani Majumder & Izabela Nielsen & Susanta Maity & Subrata Saha, 2022. "Effect of Product Distribution Structures and Government Subsidy Measures on Product Quality and Consumption under Competition," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    3. Li, Chao & Yi, Yongxi & Zhang, Aoxiang & Chen, Biao, 2023. "Fuel consumption-reduction investment decisions and coordination contracts in fuel vehicle supply chains: A dynamic analysis," Energy Economics, Elsevier, vol. 125(C).
    4. Xia, Jing & Zheng, Yan & Yang, Lehe & Xiao, Yujie, 2024. "Government intervention in green technology innovation: The carrot, the stick or both?," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    5. Fakheri, Sajjad & Bahrami-Bidoni, Zeynab & Makui, Ahmad & Pishvaee, Mir Saman & Santibanez Gonzalez, Ernesto DR., 2022. "A sustainable competitive supply chain network design for a green product under uncertainty: A case study of Iranian leather industry," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    6. Varun Sharma & Alok Raj & Abhishek Chakraborty, 2023. "Analysis of power dynamics in sustainable supply chain under non-linear demand setup," Operations Management Research, Springer, vol. 16(1), pages 18-32, March.
    7. Dass, Mayukh & Reshadi, Mehrnoosh & Li, Yuewu, 2023. "An exploration of ripple effects of advertising among major suppliers in a supply chain network," Journal of Business Research, Elsevier, vol. 169(C).
    8. Wen Jiang & Menglin Liu & Lu Gan & Chong Wang, 2021. "Optimal Pricing, Ordering, and Coordination for Prefabricated Building Supply Chain with Power Structure and Flexible Cap-and-Trade," Mathematics, MDPI, vol. 9(19), pages 1-22, September.

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