Modeling Dynamic Bargaining and Stability in a Star-Shaped Trans-Shipment Network

Author:

Peng Shiyong1,He Qingren12ORCID,Xu Fei1,Qiu Wanhua3

Affiliation:

1. School of Management, Guizhou University, Guiyang 550025, China

2. Karst Region Development Strategy Research Center, Guizhou University, Guiyang 550025, China

3. School of Economics and Management, Beihang University, Beijing 100191, China

Abstract

The star-shaped trans-shipment network causes the retailer’s bargaining power to be different, which leads to the misalignment of trans-shipment profit. Aimed at this, we take retailers and the trans-shipment paths as the nodes and edges of the trans-shipment network. Based on this, we model the multilateral negotiations between the central retailer and the local retailer and adopt the Generalized Nash Bargaining game to derive the optimal solution of the value function for the incomplete trans-shipment network under the bargaining mechanism. Furthermore, we reveal the convexity of the optimal trans-shipment value function and give the condition that the allocation of the bargaining mechanism is in the core. Based on this, we introduce the concept of pairwise Nash equilibrium and show the star-shaped trans-shipment network is the optimal endogenous formation of the trans-shipment network. In practice, the central retailer should introduce as many local retailers as possible to join this trans-shipment alliance, which will achieve Pareto improvement. Meanwhile, the central retailer should order as many as possible. Finally, it is more appropriate to establish a star-shaped trans-shipment network when one retailer has stronger negotiation power compared to other retailers in a distribution system, which not only ensures the stability of the allocation of trans-shipment profits but also the stability of the trans-shipment network.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guizhou Province of China

Guizhou Postgraduate Research Fund

Educational Commission of Guizhou Province

Key Special Project of Guizhou University’s Research Base and Think Tank

Publisher

MDPI AG

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