Abstract
AbstractWith the rapid development of cross-border e-commerce, the improvement of consumer satisfaction has become the focus of cross-border e-commerce platform optimization. Relying on advanced algorithm technology, it can realize the accurate and efficient matching between massive information and users, which is conducive to improving the user experience. Based on the consideration of consumer satisfaction, this paper constructs a dual channel supply chain composed of cross-border suppliers, cross-border e-commerce enterprises, retailers and consumers and studies the revenue and cost sharing contract of the supply chain under the conditions of centralized decision and decentralized decision. The research shows that cross-border e-commerce enterprises can choose to form revenue and expenditure sharing contracts through online and offline channels, optimize decentralized decision-making, and achieve win–win cooperation among supply chain entities.
Funder
National Social Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Signal Processing
Reference50 articles.
1. J.H. Li, Personalized recommendation algorithm based on big data for artificial intelligence cross border E-commerce shopping platform. Sci. Technol. Eng. 19(14), 280–285 (2019)
2. X. Wu, Y.Y. Wei, Y.Q. Mao et al., A differential privacy DNA motif finding method based on closed frequent patterns. Clust. Comput. 22(3), 1–13 (2018)
3. H.B. Liang, J.L. Zou, K. Zuo et al., An improved genetic algorithm optimization fuzzy controller applied to the wellhead back pressure control system. Mech. Syst. Signal Proc. 142(8), 106708 (2020)
4. Z.J. Chen, Y.S. Zhang, C.Z. Wu et al., Understanding individualization driving states via latent Dirichlet allocation model. IEEE Intell. Transp. Syst. Mag. 11(2), 41–53 (2019)
5. H.F. Zheng, W.Z. Guo, N.X. Xiong, A kernel-based compressive sensing approach for mobile data gathering in wireless sensor network systems. IEEE Trans. Syst. Man Cybern. Syst. 48(12), 2315–2327 (2017)
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献