基于4PL的跨境电商物流联盟多方行为博弈研究

doi:10.16381/j.cnki.issn1003-207x.2020.08.009

Abstract

Abstract: The rapid rise of cross-border e-commerce broadened the development space of cross-border e-commerce logistics. As a new logistics development model generated by the practice of the enterprises, the 4PL-based cross-border e-commerce logistics alliance can effectively satisfy consumers' comprehensive demand for cross-border e-commerce logistics. However, the cross-border e-commerce logistics alliance led by the cross-border e-commerce platform is a multi-member operation organization, and each member of which conducts multiple dynamic and complex games in the business operation. The game relationship between the members is crucial to the stable operation of the alliance. Therefore, the evolutionary game theory is used to analyze the dynamic game process between cross-border e-commerce platform, logistics service provider and merchants in the alliance, and the tripartite evolutionary game model is constructed. Based on the investigation of relevant enterprises, system dynamics is used to simulate and analyze the dynamic game process of the three-party strategy selection. The results show that: (1) In the process of alliance operation, the three parts of platform supervision, logistics enterprise efforts and merchant participation will eventually reach the equilibrium. And the merchant participation plays an important role in the stable operation of the alliance. At the same time, the platform supervision has a direct impact on the strategic choice of logistics enterprises. The platform should formulate scientific penalties and compensation rulings to improve the quality of logistics services and protect the interests of merchants. (2) Participants in the alliance have high sensitivity to their relevant exogenous variables, but the final strategy is influenced by multiple variables. For this reason, the platform needs to play the leading role and take various measures to stimulate the enthusiasm of logistics enterprises and merchants. The research in this paper provides a methodological guidance for multi-party operation management based on 4PL cross-border e-commerce logistics alliance, and has enlightening significance for the improvement of the alliance operational level.

Key words: 4PL cross-border e-commerce logistics alliance, multi-party behavior, evolutionary game, system dynamics

CLC Number:

F253.9

DU Zhi-ping, FU Shuai-shuai, MU Dong, WANG Dan-dan. Multi-party Behavior Game Research of Cross-border E-commerce Logistics Alliance Based on 4PL[J]. Chinese Journal of Management Science, 2020, 28(8): 104-113.

References

[1] 杜永红."一带一路"战略背景下的跨境电子商务发展策略研究[J].经济体制改革,2016,34(6):66-70.
[2] Kawa A, Zdrenka W.Conception of integration in cross-border E-commerce[J].Scientific Journal of Logistics,2016,12(1):63-73.
[3] Leung S C H, Wu Yue, Lai K K. A robust optimization model for a cross-border logistics problem with fleet composition in an uncertain environment[J]. Mathematical and Computer Modelling, 2002, 36(11):1221-1234
[4] Davis D F, Friske W. Improving cross-border logistics:The role of public-private partnerships, developments in marketing science[M]//Ideas in Marketing:Finding the New and Polishing the Old, Springer International Publishing, 2014.
[5] Wong D W C, Choy K L, Harry K H, et al.Assessing a cross-border logistics policy using a performance measurement system framework:The case of Hong Kong and the Pearl River Delta region[J].International Journal of Systems Science, 2014, 45(6):1306-1320.
[6] 王玉玲.我国跨境电商与跨境物流协同发展研究[J].改革与战略,2017,33(9):151-153.
[7] Ji Fang, Zhang Xiaheng. Innovation and development trend of cross-border E-commerce logistics[J].China Business and Market,2015,33(6):14-20.
[8] 张夏恒.全球价值链视角下跨境电商与跨境物流协同的内生机理与发展路径[J].当代经济管理,2018,40(1):14-18.
[9] 钱慧敏,何江.基于扎根理论模型的跨境电商与跨境物流协同影响因素分析[J].产经评论,2017,8(6):110-122.
[10] 杜志平,贡祥林.国内外跨境物流联盟运作机制研究现状[J].中国流通经济,2018,32(2):37-49.
[11] 约翰. 斯特曼. 商务动态分析方法:对复杂世界的系统思考与建模[M]. 朱岩,钟永光,译.北京:清华大学出版社,2008.
[12] 李旭东,曾艳英,王耀球.基于4PL的跨境电商物流联盟研究[J].商业经济研究,2017,36(10).:82-84.
[13] Yadong Luo.Structuring inter-organizational cooperation:The role of economic integration in strategic alliances[J].Strategic Management,2008,29(6):617-637.
[14] Song D W, Panayides P M.A conceptual application of cooperative game theory to liner shipping strategic alliances[J].Maritime Policy & Management,2002,29(3):285-301.
[15] 孙新波,刘博,罗能,等.基于生命周期的知识联盟激励协同运作机理[J].管理学报,2013,10(5):754-760.
[16] Horowitz L S. Translation alignment:Actor-network theory, resistance, and the power dynamics of alliance in new Caledonia[J].Antipode,2012,44(3):806-827.
[17] 申亮,王玉燕.公共服务外包中的协作机制研究:一个演化博弈分析[J].管理评论,2017,29(3):219-230.
[18] 董凌峰.基于SD演化博弈的网络舆情形成阶段主体研究[J].情报科学,2018,36(1):24-31.
[19] Jianbang Du,Qing Li,Fengxiang Qiao,et al. Estimation of vehicle emission on mainline freeway under isolated and integrated ramp metering strategies[J].Environmental Engineering &Management Journal,2018,(17):1237-1248.
[20] Friedman D. Evolutionary games in economics[J]. Econometrica,1991,59(3):637-666.
[21] 彭本红,谷晓芬,鲁倩.服务型制造项目治理中利益相关者演化博弈研究[J].系统仿真学报,2017,29(3):595-608.
[22] 于涛,刘长玉.政府与第三方在产品质量监管中的演化博弈分析及仿真研究[J].中国管理科学,2016,24(6).90-96.

Multi-party Behavior Game Research of Cross-border E-commerce Logistics Alliance Based on 4PL

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0

[1]	Zhi Yang. Quadripartite Evolutionary Game of Public Participation in Interactive Transboundary Pollution Control Compensation [J]. Chinese Journal of Management Science, 2024, 32(8): 261-273.
[2]	Xiangyan Sun,Xinchi Qu. Multi-stage Dynamic Evolution of Over-treatment Behavior under Drug-proportion Regulation [J]. Chinese Journal of Management Science, 2024, 32(8): 308-321.
[3]	Zuankuo Liu,Yu Li,Shouwei Li,Kaixuan Di,Changyu Liu,Rongkun Liu. Research on the Third-party Market Cooperation and Stability Strategy Based on the Perspective of Financing Mode [J]. Chinese Journal of Management Science, 2024, 32(8): 36-49.
[4]	Xusheng Yao,Shoufeng Ma,Shunqiang Ye,Shuai Ling. Yield or Go?Evolutionary Game Analysis of Pedestrian and Autonomous Vehicle Conflicts [J]. Chinese Journal of Management Science, 2024, 32(7): 138-149.
[5]	Zhiguo Shao,Mengdi Li,Chuanfeng Han,Lingpeng Meng,Qidi Wu. Simulation and Cooperative Mechanism of Construction Waste Disposal Based on Evolutionary Game [J]. Chinese Journal of Management Science, 2024, 32(7): 324-334.
[6]	Yanru Liang,Jianzhong Xu. Research on Incentive Policy Optimization of Enterprise Ecological Innovation Driving System [J]. Chinese Journal of Management Science, 2024, 32(6): 281-289.
[7]	Lili Ding,Kaixuan Zhang,Lei Wang. How does Public Sentiment Affect Enterprise Emission Reduction in the Industrial Symbiosis Chain? Analysis Based on RDEU Game Model [J]. Chinese Journal of Management Science, 2024, 32(6): 312-322.
[8]	Guochang Fang,Yu He,Lixin Tian. Evolutionary Game Analysis of Government and Enterprises Carbon-reduction under the Driven of Carbon Trading [J]. Chinese Journal of Management Science, 2024, 32(5): 196-206.
[9]	Lili Ding,Zhimeng Guo,Yu Bai,Ping Wang. Impact Analysis of Fairness Preference on Industrial Development of Carbon Capture and Storage (CCS) Projects [J]. Chinese Journal of Management Science, 2024, 32(4): 187-197.
[10]	Fengjiao Chen,Dehai Liu. Evolutionary Path Analysis of Multi-channel Epidemic Information Release of Major Infectious Diseases [J]. Chinese Journal of Management Science, 2024, 32(4): 237-249.
[11]	Dan Zhao,Xiaochen Yan,Heping Wang,Yan Li. Evolutionary Game Analysis of Cooperative Innovation of Automakers under Dual-credit Policy [J]. Chinese Journal of Management Science, 2024, 32(4): 279-292.
[12]	Yi Jing,Liu Cao,Wenqiu Zhang. Four-dimensional Evolutionary Games Analysis for Local Governments Atmospheric Governance Considering Multiple Behavioral Strategies [J]. Chinese Journal of Management Science, 2024, 32(4): 306-314.
[13]	Song Yang,Yancai Zhang,Aifeng Wang. Stability of Food Safety Social Co-governance Evolutionary Game with Multi-agent Participation [J]. Chinese Journal of Management Science, 2024, 32(4): 325-334.
[14]	Pei Zhang,Bing Bai,Ziwei Zhao. Evolutionary Game Study on the Cooperative Behavior of Multi Agents in the World-Class Competitiveness Cluster [J]. Chinese Journal of Management Science, 2024, 32(4): 66-75.
[15]	Rui Sun,Dayi He,Huilin Su. Application of Blockchain Technology to Preventing Supply Chain Finance Based on Evolutionary Game [J]. Chinese Journal of Management Science, 2024, 32(3): 125-134.