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A Review of Logistics Pricing Research Based on Game Theory

Author

Listed:
  • Jili Kong

    (School of Modern Post, Beijing University of Posts and Telecommunications, Haidian District, Beijing 100876, China)

  • Ziyu Chen

    (School of Modern Post, Beijing University of Posts and Telecommunications, Haidian District, Beijing 100876, China)

  • Xiaoping Liu

    (School of Modern Post, Beijing University of Posts and Telecommunications, Haidian District, Beijing 100876, China)

Abstract

As the scope and complexity of logistics outsourcing services expand, logistics activity has become a separate market service. It has become a critical issue to determine how to appropriately price logistics services. In this study, we systematically review the scientific literature on the pricing of logistics services based on content analysis and bibliometric methods, focusing on the application of game theory. We compare and analyze the literature in terms of three dimensions: logistics scenarios, game models, and influencing factors. This study identifies the main players and key research scenarios of logistics pricing, analyzes6aa the most appropriate and commonly used game models, and clarifies the main influencing factors of logistics pricing. Finally, we suggest future research directions to fill gaps in existing knowledge. This study conducts a systematic review of the current state of empirical research in the field of logistics pricing, which aids in the development of new models. The results of this study help to advance logistics services from a pricing standpoint, thereby increasing the economic and environmental sustainability of logistics activities.

Suggested Citation

  • Jili Kong & Ziyu Chen & Xiaoping Liu, 2022. "A Review of Logistics Pricing Research Based on Game Theory," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10520-:d:895822
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    References listed on IDEAS

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    1. Xueyi Guan & Jin Qin & Chenghui Mao & Wenliang Zhou, 2023. "A Literature Review of Railway Pricing Based on Revenue Management," Mathematics, MDPI, vol. 11(4), pages 1-17, February.

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