基于量子博弈的电商物流联盟合作配送激励机制研究

IF 1.3 4区 数学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Liying Zhang, Fujian Chen
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引用次数: 0

摘要

长期以来,激励人们积极参与电子商务物流联盟以提高配送效率和客户满意度一直是社会关注的焦点。本文利用量子博弈论,建立了一个激励这些联盟内部合作的模型。该模型可对成员的策略和纠缠水平进行理论和数值分析。研究结果表明,量子策略能增加成员的利润,实现纳什均衡和帕累托最优结果,优于经典博弈论。此外,量子纠缠的大小是影响成员积极参与协作分配的关键决定因素。加强信息共享和利益一致可以提高成员之间的纠缠程度,使他们更倾向于采取促进积极参与合作分配的策略。此外,成员可以根据协作分配中的初始纠葛调整策略,从而激励参与并降低道德风险。总之,通过数值分析,我们提出了在电子商务物流联盟中激励合作配送的相关策略和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum Game-Based Study on the Incentive Mechanism for the Cooperative Distribution of E-Commerce Logistics Alliance
Motivating active participation in e-commerce logistics alliances to enhance delivery efficiency and customer satisfaction has long been a societal interest. Leveraging the quantum game theory, this paper develops a model for incentivizing collaboration within these alliances. This model enables theoretical and numerical analysis of members’ strategies and entanglement levels. The findings show that quantum strategies increase members’ profits, achieving Nash equilibriums and Pareto optimal outcomes, outperforming the classical game theory. In addition, the size of quantum entanglement emerges as a critical determinant influencing members’ active participation in collaborative distribution. Strengthening information sharing and aligning interests can enhance entanglement levels among members, making them more inclined to adopt strategies promoting active involvement in collaborative distribution. Moreover, members can adapt their strategies based on the initial entanglement in collaborative distribution, thereby incentivizing participation and reducing ethical risks. In conclusion, through numerical analysis, we present relevant strategies and recommendations for incentivizing collaborative distribution within e-commerce logistics alliances.
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来源期刊
Discrete Dynamics in Nature and Society
Discrete Dynamics in Nature and Society 综合性期刊-数学跨学科应用
CiteScore
3.00
自引率
0.00%
发文量
598
审稿时长
3 months
期刊介绍: The main objective of Discrete Dynamics in Nature and Society is to foster links between basic and applied research relating to discrete dynamics of complex systems encountered in the natural and social sciences. The journal intends to stimulate publications directed to the analyses of computer generated solutions and chaotic in particular, correctness of numerical procedures, chaos synchronization and control, discrete optimization methods among other related topics. The journal provides a channel of communication between scientists and practitioners working in the field of complex systems analysis and will stimulate the development and use of discrete dynamical approach.
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