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Smart logistics ecological cooperation with data sharing and platform empowerment: an examination with evolutionary game model
International Journal of Production Research ( IF 9.2 ) Pub Date : 2021-05-20 , DOI: 10.1080/00207543.2021.1925173
Weihua Liu 1 , Shangsong Long 1 , Shuang Wei 1 , Dong Xie 2 , Jingkun Wang 1 , Xinyun Liu 1
Affiliation  

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.



中文翻译:

数据共享与平台赋能的智慧物流生态合作:演化博弈模型的检验

随着先进技术的应用,以数据共享、平台赋能为特征的智慧物流生态合作正在发展。为了从商业生态系统的角度探讨物流平台与供应商的生态合作趋势,本研究采用演化博弈论来描述双方之间的多期博弈,得到双方都处于的均衡状态。选择生态合作及其前提。通过敏感性分析,我们获得了通过调整某些参数将其他进化稳定策略(ESS)转化为理想ESS的具体路径,并为平台提供建议以诱导其供应商选择生态合作。平台应收取合理的代理费以达成生态合作。代理费、赋能成本、服务价格弹性系数之间的关系决定了平台最终的进化稳定策略。本研究发现了生态合作的蝴蝶效应。双方的初始概率组合不同,使得双方在相同条件下都选择生态合作或不选择。

更新日期:2021-05-20
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