Research on Incentive Mechanism for Cross-border E-commerce Supply Chain Collaboration Under Demand and Tax Rate Uncertainty

MA Shu-zhong; LIU Su-yang; CHAI Yu-xi

PDF(2542 KB)

Journal of Beijing Jiaotong University（Social Sciences Edition） ›› 2023, Vol. 22 ›› Issue (4) : 111-125.

Research on Incentive Mechanism for Cross-border E-commerce Supply Chain Collaboration Under Demand and Tax Rate Uncertainty

MA Shu-zhong¹, LIU Su-yang^1,2, CHAI Yu-xi^1,3

Author information +

History +

Abstract

Considering that consumer demand is affected by the service level of cross-border e-commerce platform， Stackelberg game model is developed to study the two-level supply chain composed of product supplier and cross-border e-commerce platform， and to analyze the influence of incentive mechanism on the choice of collaboration strategy among supply chain members under the demand and tax rate uncertainty. The results show that cross-border e-commerce platform can always benefit from collaboration， while the willingness of product supplier to collaborate is contingent upon the consumers’ sensitivity to the service level of platform and the prior probability of the tax rate. When the sensitivity is moderate and the prior probability of the tax rate satisfies certain conditions， Pareto optimization can be achieved in the cross-border e-commerce supply chain， that is， an appropriate incentive mechanism can prompt product supplier to take the initiative to collaborate. Demand uncertainty and product supplier’s bargaining power positively affect the value of optimal transfer payments， and the difficulty of implementing incentive mechanism increases with the decrease of demand forecasting accuracy by cross-border e-commerce platform and the reduction of tax rate.

Key words

cross-border e-commerce / supply chain collaboration / demand forecasting / incentive mechanism / Stackelberg game

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

MA Shu-zhong, LIU Su-yang, CHAI Yu-xi. Research on Incentive Mechanism for Cross-border E-commerce Supply Chain Collaboration Under Demand and Tax Rate Uncertainty[J]. Journal of Beijing Jiaotong University（Social Sciences Edition）. 2023, 22(4): 111-125

References

1 徐学超，戴明锋. 疫情冲击下我国跨境电商发展研究［J］. 国际贸易， 2022，（2）： 32-38.
2 MA S， GUO X， ZHANG H. New driving force for China’s import growth： Assessing the role of cross-border e-commerce［J］. The World Economy， 2021， 44（12）： 3674-3706.
3 马述忠，潘钢健. 从跨境电子商务到全球数字贸易——新冠疫情全球大流行下的再审视［J］. 湖北大学学报（哲学社会科学版）， 2020， 47（5）： 119-132+169.
4 郭晶，周玲丽. 贸易政策不确定性、关税变动与企业生存［J］. 国际贸易问题， 2019，（5）： 22-40.
5 GIUFFRIDA M， MANGIARACINA R， PEREGO A， et al. Cross-border B2C e-commerce to China： An evaluation of different logistics solutions under uncertainty［J］. International Journal of Physical Distribution & Logistics Management， 2019， 50（3）： 355-378.
6 FANG Z， WANG Q. Cross-Border E-Commerce Supply Chain Risk Evaluation with FUZZY-ISM Model［J］. Security and Communication Networks， 2021.
7 魏浩，王超男. 中国跨境电商进口发展存在的问题与对策［J］. 国际贸易， 2021，（11）： 44-50+69.
8 M. RALSTON P， RICHEY R G， J. GRAWE S. The past and future of supply chain collaboration： a literature synthesis and call for research［J］. The International Journal of Logistics Management， 2017， 28（2）： 508-530.
9 BOWERSOX D J. The Strategic Benefits of Logistics Alliances［J］. Harvard Business Review， 1990， 68（4）： 36-45.
10 SIMATUPANG T M， SRIDHARAN R. The collaboration index： a measure for supply chain collaboration［J］. International Journal of Physical Distribution & Logistics Management， 2005， 35（1）： 44-62.
11 SIMATUPANG T M， SRIDHARAN R. The Collaborative Supply Chain［J］. The International Journal of Logistics Management， 2002， 13（1）： 15-30.
12 SOOSAY C A， HYLAND P. A decade of supply chain collaboration and directions for future research［J］. Supply chain collaboration， 2015， 20（6）： 18.
13 YUE X， LIU J. Demand forecast sharing in a dual-channel supply chain［J］. European Journal of Operational Research， 2006， 174（1）： 646-667.
14 HA A Y， TIAN Q， TONG S. Information Sharing in Competing Supply Chains with Production Cost Reduction［J］. Manufacturing & Service Operations Management， 2017， 19（2）： 246-262.
15 LI L. Information Sharing in a Supply Chain with Horizontal Competition［J］. Management Science， 2002， 48（9）： 1196-1212.
16 MISHRA B K， RAGHUNATHAN S， YUE X. Demand Forecast Sharing in Supply Chains［J］. Production & Operations Management， 2009， 18（2）： 152-166.
17 士明军，王勇，但斌，等. 绿色供应链中不对称需求预测下的信息共享研究［J］. 中国管理科学， 2019， 27（4）： 104-114.
18 ZHANG S， ZHANG J. Agency selling or reselling： E-tailer information sharing with supplier offline entry［J］. European Journal of Operational Research， 2020， 280（1）： 134-151.
19 YANG M， ZHANG T， WANG C. The optimal e-commerce sales mode selection and information sharing strategy under demand uncertainty［J］. Computers & Industrial Engineering， 2021， 162.
20 FAWCETT S E， WALLER M A， FAWCETT A M. Elaborating a dynamic systems theory to understand collaborative inventory successes and failures［J］. The International Journal of Logistics Management， 2010， 21（3）： 510-537.
21 MA K， PAL R， GUSTAFSSON E. What modelling research on supply chain collaboration informs us？ Identifying key themes and future directions through a literature review［J］. International Journal of Production Research， 2019， 57（7）： 2203-2225.
22 KEMBRO J， SELVIARIDIS K， N?SLUND D. Theoretical perspectives on information sharing in supply chains： a systematic literature review and conceptual framework［J］. Supply Chain Management： An International Journal， 2014， 19（5/6）： 609-625.
23 SHANG W， HA A Y， TONG S. Information Sharing in a Supply Chain with a Common Retailer［J］. Management Science， 2016， 62（1）： 245-263.
24 JAIN A， SESHADRI S， SOHONI M. Differential Pricing for Information Sharing Under Competition［J］. Production and Operations Management， 2011， 20（2）： 235-VIII.
25 LIU M， DAN B， ZHANG S， et al. Information sharing in an E-tailing supply chain for fresh produce with freshness-keeping effort and value-added service［J］. European Journal of Operational Research， 2021， 290（2）： 572-584.
26 ZHANG X， ZHA X， ZHANG H， et al. Information Sharing in a Cross-Border E-Commerce Supply Chain Under Tax Uncertainty［J］. International Journal of Electronic Commerce， 2022， 26（1）： 123-146.
27 SHI Y， WANG T， ALWAN L C. Analytics for Cross-Border E-Commerce： Inventory Risk Management of an Online Fashion Retailer［J］. Decision Sciences， 2020， 51（6）： 1347-1376.
28 YAO D Q， LIU J J. Competitive pricing of mixed retail and e-tail distribution channels［J］. Omega， 2005， 33（3）： 235-247.
29 WANG Y， YU Z， SHEN L. Study on the decision-making and coordination of an e-commerce supply chain with manufacturer fairness concerns［J］. International Journal of Production Research， 2019， 57（9）： 2788-2808.
30 TSAY A A， AGRAWAL N. Channel Dynamics Under Price and Service Competition［J］. Manufacturing & Service Operations Management， 2000， 2（4）： 372.
31 文悦，王勇，士明军. 网络平台销售模式中的需求信息共享策略与博弈结构决策研究［J］. 系统工程理论与实践， 2019， 39（6）： 1449-1468.
32 WANG J J， DONG J， YUE X， et al. Information Sharing in a Supply Chain With a Coopetitive Contract Manufacturer［J］. IEEE Transactions on Systems， Man， and Cybernetics： Systems， 2020， 50（5）： 1777-1793.
33 文悦，王勇. 电商平台物流策略与零售商需求预测信息共享策略的博弈分析［J］. 系统工程理论与实践， 2023， 43（1）： 151-168.
34 WINKLER R L. Combining Probability Distributions from Dependent Information Sources［J］. Management Science， 1981， 27（4）： 479-488.
35 ZHANG H. Vertical Information Exchange in a Supply Chain with Duopoly Retailers［J］. Production and Operations Management， 2002， 11（4）： 531-546.
36 CHEN K， LIANG J， LI J. Information structures and pricing decisions in competing supply chains［J］. Journal of Systems Science and Systems Engineering， 2012， 21（2）： 226-254.
37 NAGARAJAN M， BASSOK Y. A Bargaining Framework in Supply Chains： The Assembly Problem［J］. Management Science， 2008， 54（8）： 1482-1496.