Smart logistics ecological cooperation with data sharing and platform empowerment: an examination with evolutionary game model. Issue 13 (3rd July 2022)

• Record Type: Journal Article
• Authors: Liu, Weihua; Long, Shangsong; Wei, Shuang; Xie, Dong; Wang, Jingkun; Liu, Xinyun
• Is Part Of: International journal of production research. Volume 60:Issue 13(2022)
• Page Start: 4295
• Page End: 4315
• Publication Date: 2022-07-03
• Subjects: Logistics ecological cooperation -- data sharing -- platform empowerment -- evolutionary game -- game theory -- decision analysis; Factory management -- Periodicals; 658.57
• DOI: 10.1080/00207543.2021.1925173
• Languages: English
• ISSNs: 0020-7543

Abstract

Abstract : With the application of advanced technology, smart logistics ecological cooperation is in development, characterised by data sharing and platform empowerment. In order to explore the trend of ecological cooperation between the logistics platform and the supplier from the perspective of business ecosystem, this study uses evolutionary game theory to describe the multi-period game between the two parties, and obtains the equilibrium where the two parties both choose ecological cooperation and its preconditions. Through sensitivity analysis, we obtain the specific paths to convert other evolutionary stable strategies (ESSs) into the ideal ESS by adjusting certain parameters, and provide suggestions for the platform to induce its supplier to choose ecological cooperation. The platform should charge a reasonable agency fee to reach the ecological cooperation. The relationship between the agency fee, empowerment cost, and service price elasticity coefficient determines the platform's ultimate evolutionary stable strategy. This study finds the butterfly effect of ecological cooperation. There are different combinations of the initial probabilities between the two parties making them both choose ecological cooperation or both not choose under the same condition.