Competition–cooperation mechanism of online supply chain finance based on a stochastic evolutionary game

Jun Du (), Jiejie Li (), Jiaxin Li () and Weiduo Li ()
Additional contact information
Jun Du: Tianjin University
Jiejie Li: Tianjin University
Jiaxin Li: Tianjin University
Weiduo Li: Nankai University

Operational Research, 2023, vol. 23, issue 3, No 17, 28 pages

Abstract: Abstract To solve the cooperation and competition problem of online supply chain finance constructed by the high-speed development of online finance among e-commerce enterprises and commercial banks, this paper constructs a classic evolutionary game model that does not consider disturbances and a stochastic evolutionary game model considering random disturbance. A contrastive analysis of the evolutionary process and stability of strategy selection is made, and parameters for the cooperative contract are discussed. Finally, the relevant decisions are verified by a numerical simulation of contracts in Chinese online supply chain finance. The main conclusions are as follows: in the classic evolutionary game model, the probability of choosing a cooperative strategy in a high-penalty contract is more than that in a low-penalty contract, and their final strategies will stabilize at cooperation when the excess return is more than that of the competitive strategy. In the stochastic evolutionary game model, the stable conditions are stricter than those of the classic model. Moreover, the default penalty, cost of maintaining cooperation, revenue share proportion and stochastic disturbance intensity influence the dynamic evolutionary process in the stochastic evolutionary game model. The conclusions provide a reference for the cooperation of e-commerce enterprises and banks in building online supply chain finance to achieve a win‒win result.

Keywords: Online supply chain finance; E-commerce enterprises; Competition cooperation; Stochastic evolutionary game; Default penalty (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s12351-023-00792-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:operea:v:23:y:2023:i:3:d:10.1007_s12351-023-00792-8

Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351

DOI: 10.1007/s12351-023-00792-8

Access Statistics for this article

Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis

More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().