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Research on dynamic mechanism of cross-border e-commerce ecosystem evolution

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Abstract

The popularization of information technology and the improvement of global commercial infrastructure, such as finance, communication, and logistics, have facilitated the flourishing development of cross-border e-commerce. Tens of thousands of different types of participants, including cross-border e-commerce platforms, manufacturers, distributors, and logistics service providers, have formed a cross-border e-commerce ecosystem similar to a natural ecological system. This study attempts to explore the driving mechanisms that promote the evolution of cross-border e-commerce ecosystem from its inception to maturity, and provide references for relevant research and practice. Based on a review of literature and practical experience of cross-border e-commerce enterprises, this study selected the driving mechanisms of the evolution of the cross-border e-commerce ecosystem as the research object. Based on theories such as transaction cost theory, industry chain theory, self-organization theory, and symbiosis theory, and using normative analysis, the driving mechanisms of the evolution of the cross-border e-commerce ecosystem are summarized as follows: rule mechanism, contract mechanism, self-organization mechanism, collaborative mechanism, profit distribution mechanism, competition mechanism, innovation mechanism, and cooperation mechanism. This provides a theoretical framework for case verification in later sections. Based on the theoretical framework and combined with the case study of AliExpress, a typical practice of constructing the cross-border e-commerce ecosystem, this study proved that the driving mechanisms generate power and drive the AliExpress ecosystem to evolve, further demonstrating the objectivity of the theoretical model.

Keyword : Cross-border e-commerce; Business ecosystem; Evolution; Dynamic mechanism,

How to Cite
Xi1, X., Tarofder, 2. & Wei2*, A. K. ;. M. (2023). Research on dynamic mechanism of cross-border e-commerce ecosystem evolution. Business, Management and Economics Engineering, 21(1), 249-271.

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Jul 14, 2023
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References

Armstrong, M., & Wright, J. (2007). Two-sided markets, competitive bottlenecks and exclusive contracts. Economic Theory, 32(2), 353-380. Cao, W., Run, M., & Xue, C. (2019). Construction of Logistics Enterprise-led Cross-border E-commerce Ecosystem: A Multi-case Study. Science and Technology Management Research, 39(16), 212-222. Cao, W., Yan, M., & Xue, C. (2019). Stability of cross-border e-commerce ecosystem based on evolutionary game theory. Finance and Accounting Monthly, (23), 145-152. Cai, X., Ding, Z., & Wan, C. (2018). Study on collaborative decision-making of supply chain low-carbon technology adoption and product pricing. Ecological Economy, 34(06), 51-56. Dan, B., Zhou, M., & Zhang, X. (2016). Sharing and incentive of demand forecasting information in group purchasing supply chain with competitive manufacturers. Chinese Journal of Management Science, 24(03), 42-51. Dong, S., Zhang, Z., & Xi, B. (2010). Collaborative demand forecasting mechanism in supply chain. Operations Research and Management Science, 19(05), 66-70. Fei, F. (1996). Determinants of contracting parties' assumptions and transaction costs: A review of Williamson's transaction cost economics. Foreign Economics & Management, (05), 26-29. Fulgoni, G. M. (2014). Omni-channel retail insights and the consumer's path-to-purchase: How digital has transformed the way people make purchasing decisions. Journal of Advertising Research, (4), 377-380. Business, Management and Economics Engineering ISSN: 2669-2481 / eISSN: 2669-249X 2023 Volume 21 Issue 1: 249–271 270 Research on dynamic mechanism of cross-border e-commerce ecosystem evolution Hu, G. (2010). Platform-based e-commerce ecosystem and its self-organizing mechanism. Fudan University. Hu, G., Lu, X., & Huang, L. (2009). E-commerce ecosystem and its evolutionary path. Economic Management, 31(06), 110-116. Hu, H., & Lu, H. (2018). Value co-creation in the evolution of enterprise business ecosystem: Digital empowerment perspective. Economic Management, 40(08), 55-71. He, J., & Qian, H. (2019). Empirical study on the coordinated relationship between cross-border e-commerce and cross-border logistics. Journal of Dalian University of Technology (Social Science Edition), 40(06), 37-47. Han, Z., & Zhang, W. (2020). Benefits-sharing mechanism of knowledge transfer in supply chain collaborative innovation. Computer Engineering and Applications, 56(16), 234-240. Ji, C., & Li, Y. (2016). Research on the construction of cross-border e-commerce ecosystem between China and ASEAN. Guangxi Social Sciences, (09), 50-54. Li, J., Zhang, J., & Qu, F. (2019). Construction of Cross-border E-commerce Ecosystem and Its Development Path. Science and Technology Management Research, 39(23), 207-212. Li, Q., Jiang, L., & Pan, Y. (2020). The driving mechanism of the evolution innovation of cross-border e-commerce customs supervision ecosystem in China. China Market, 34(05), 32-39. Lü, X., & Zhou, M. (2016). Problems and paths of development of cross-border e-commerce platforms in China. Economic Observer, (03), 81-84. Ning, L., Sun, Z., & Xiao, S. (2019). Formation and driving mechanism of user value system in platform ecosystem: Based on the user fit perspective. Journal of Northeastern University (Social Science Edition), 21(05), 470-479. Qian, H., & He, J. (2017). Analysis of the influence factors of cross-border e-commerce and cross-border logistics coordination based on the grounded theory model. Industrial Economy Review, 8(06), 110-122. Rochet, J. C., & Tirole, J. (2004). Defining Two-Sided Markets. IDEI, Toulouse, France, January. Rui, M., & Ji, D. (2009). The evolution of modular network industrial organization: A study based on the computer industry. Economic and Management Research, (01), 81-86. Tang, H., Zhu, Q., & Zhang, J. (2019). Dynamic Evolution Simulation of Internet Business Ecosystem: A Case Study of Alibaba. Business Economics and Management, (03), 5-19. Wu, J., & Xie, Y. (2017). Evolution and Dynamic Analysis of Business Ecosystems: A Self-organizing Theory Perspective. Enterprise Economy, 36(11), 96-101. Xue, C., Li, S., Cao, W., & Cao, H. (2019). Construction of payment-based cross-border e-commerce ecosystem. Finance and Accounting Monthly, (19), 143-150. Xue, C., Yan, M., & Zhang, D. (2019). Identification of risk factors for cross-border Business, Management and Economics Engineering ISSN: 2669-2481 / eISSN: 2669-249X 2023 Volume 21 Issue 1: 249–271 271 Research on dynamic mechanism of cross-border e-commerce ecosystem evolution e-commerce ecosystem based on social network analysis. Finance and Accounting Monthly, (16), 113-119. Xue, C., Zhou, M., & Cao, W. (2020). Dynamic Mechanism of Cross-border E-commerce Ecosystem based on System Dynamics. Industrial Engineering Journal, 23(4), 84-92. Xiong, L., & Ye, K. (2020). The correlation between the development of cross-border e-commerce ecosystem and policy combination dimensions. Soft Science, 34(02), 129-136. Yang, L., & Chen, L. (2019). Standardization construction of cross-border e-commerce ecosystem in China. China Standardization, (23), 30-33. Zou, H. (2007). Risk management in venture capital supply chain. Journal of Wuhan University of Technology (Information and Management Engineering Edition), 29(07), 130-133. Zhang, H., & Xu, Z. (2020). Research on the structure and evolution of cross-border e-commerce ecosystem. Social Sciences, (02), 28-39. Zhang, W., Lu, X., & Li, M. (2019). Research on the influencing factors of China's cross-border e-commerce development. Journal of Hainan University (Social Science Edition), 37(03), 57-63. Zhang, X. (2016). JD.com: Building a cross-border e-commerce ecosystem. Enterprise Management, (11), 102-104