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

Authors: Yan Feng; Xingjian Zhou; Lihua Cai; Jinshan Dai

Addresses: School of Management, Wuhan Textile University, China ' School of Management, Wuhan Textile University, China; Postdoctoral Research Center of Management Science and Engineering, Nanchang University, China ' School of Eco-environmental Industry, Wuhan Technology and Business University, China ' School of Transportation and Logistics Engineering, Wuhan University of Technology, China

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.

Keywords: digital logistics parks; logistics Cloud platform; resource sharing; horizontal cooperation; evolutionary game.

DOI: 10.1504/IJNVO.2022.125998

International Journal of Networking and Virtual Organisations, 2022 Vol.27 No.1, pp.40 - 60

Received: 03 Nov 2021
Received in revised form: 22 May 2022
Accepted: 04 Jul 2022

Published online: 05 Oct 2022 *

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