Enterprise strategy analysis of synergy between cross-border e-commerce and logistics in a dynamic environment

IF 3.2 Q2 AUTOMATION & CONTROL SYSTEMS
C. Xue, Wen Wen, Shumin Li
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Abstract

In order to explore how cross-border e-commerce and logistics companies make decisions during synergy in a dynamic environment, this paper first establishes an evolutionary game model to study the influencing factors of enterprises’ strategies in the process of synergy in a dynamic environment. Then the study uses sensitivity analysis and numerical simulation to analyse the impact of different enterprises’ strategies on synergy. Finally, the synergistic strategies of enterprises in different dynamic environments are discussed. We found that: (1) capital and labour input of cross-border e-commerce platforms will affect the synergy. In a highly dynamic environment, the influences are greater. (2) There is a positive correlation between the technical level of the platform and synergistic degree, while the high technical level of logistics enterprises will inhibit synergy. However, in an unstable environment, the positive effect still exists, and the change in the logistics enterprise technology level has little effect on synergy. (3) The technical level of the cross-border e-commerce platform has the greatest impact on the benefits of both parties, and then is the lower cost of labour and capital input, while the technical level of logistics companies has little impact.
动态环境下跨境电子商务与物流协同的企业战略分析
为了探索跨境电子商务和物流公司在动态环境下协同决策的方式,本文首先建立了一个进化博弈模型,研究了动态环境下企业协同过程中的战略影响因素。然后运用敏感性分析和数值模拟方法分析了不同企业战略对协同效应的影响。最后,讨论了企业在不同动态环境下的协同策略。我们发现:(1)跨境电商平台的资本和劳动力投入会影响协同效应。在高度动态的环境中,影响更大。(2) 平台的技术水平与协同程度呈正相关,而物流企业的高技术水平会抑制协同。然而,在不稳定的环境中,积极效应仍然存在,物流企业技术水平的变化对协同效应的影响很小。(3) 跨境电商平台的技术水平对双方利益的影响最大,其次是劳动力和资金投入的成本较低,而物流公司的技术水平影响较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Systems Science & Control Engineering
Systems Science & Control Engineering AUTOMATION & CONTROL SYSTEMS-
CiteScore
9.50
自引率
2.40%
发文量
70
审稿时长
29 weeks
期刊介绍: Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering. The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to: · artificial intelligence · complex systems · complex networks · control theory · control applications · cybernetics · dynamical systems theory · operations research · systems biology · systems dynamics · systems ecology · systems engineering · systems psychology · systems theory
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