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Research on digital logistics parks' horizontal cooperation with Cloud platform: from the perspective of tripartite evolutionary game

Author

Listed:
  • Yan Feng
  • Xingjian Zhou
  • Lihua Cai
  • Jinshan Dai

Abstract

To meet the massive and emergent logistics demand, learning from Europe and the USA, a cooperation mechanism can form a gathered and scaled logistics park network. Based on the current practice in China, the logistics Cloud platform makes the cooperation from a horizontal perspective possible. A tripartite evolutionary game model consisting of one logistics Cloud platform and two digital logistics parks is proposed. The platform has strategy {compensating, no compensating}, and the parks have strategy {sharing, no sharing}. The revenue function of each party is constructed, applying dynamic replication function based on stag hunt game; all equilibrium points are found. With Jacobi matrix, two asymptotically stable strategies are formed. The study shows that the three game players either choose sharing/compensating or no sharing/no compensating strategy. The strategy is affected by the sharing/compensating probability, the compensation and opportunity cost, and the order loss. The managerial insights are also discussed.

Suggested Citation

  • Yan Feng & Xingjian Zhou & Lihua Cai & Jinshan Dai, 2022. "Research on digital logistics parks' horizontal cooperation with Cloud platform: from the perspective of tripartite evolutionary game," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 27(1), pages 40-60.
    • Handle: RePEc:ids:ijnvor:v:27:y:2022:i:1:p:40-60
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