The Impact of Supply Chain Integration on Operational Performance in Cross-Border E-Commerce Logistics: The Mediating Role of Information Sharing

Main Article Content

Xuegang Jin

Keywords

cross-border E-commerce, logistics, information sharing

Abstract

This study examines the impact of supply chain integration (SCI) on operational performance (OP) in the cross-border e-commerce logistics sector, with a focus on the mediating role of information sharing (IS). Using a quantitative approach, data were collected from 300 logistics professionals in Shanghai through an online survey. The results confirm that SCI significantly enhances OP and that IS serves as a critical mediator in this relationship. Structural Equation Modeling (SEM) validated the proposed model, showing robust relationships among the constructs. The findings emphasize the importance of SCI and IS in improving delivery speed, cost efficiency, and customer satisfaction. This study provides empirical evidence for the strategic integration of supply chain processes and highlights the role of IS in optimizing operational performance within Shanghai’s dynamic logistics ecosystem. Limitations and suggestions for future research are discussed.

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References

  • Gong, Y., & Zaman, U. (2024). Exploring mega-construction project success in China's vaunted Belt and Road initiative: The role of paternalistic leadership, team members' voice and team resilience. Engineering, Construction and Architectural Management, 31(9), 3801-3825. https://doi.org/10.1108/ECAM-12-2022-1201
  • Liu, Z., & Huo, H. (2024). The impact of ERP assimilation on mass customization capability: A dynamic capabilities view. IEEE Access, 12, 36778-36792. https://doi.org/10.1109/ACCESS.2024.3364390
  • Yang, X., & Han, Q. (2024). Nonlinear effects of enterprise digital transformation on environmental, social and governance (ESG) performance: Evidence from China. Sustainability Accounting, Management and Policy Journal, 15(2), 355-381. https://doi.org/10.1108/SAMPJ-08-2023-0553
  • Yang, X., Xu, H., Qiu, Z., Wang, J., & Liu, B. (2024). How exports affect green technology innovation in small- and medium-sized enterprises? Evidence from Chinese companies listed on the growth enterprise market. Environ Sci Pollut Res Int, 31(25), 36384-36404. https://doi.org/10.1007/s11356-023-30126-2
  • Yang, Y., Din, A. U., Mohi Ud Din, Q., & Khan, I. U. (2024). Green leadership in manufacturing industry: Unveiling the green revolution's impact on organizational performance. Heliyon, 10(6), Article e27831. https://doi.org/10.1016/j.heliyon.2024.e27831
  • Yuan, P., & Yang, X. (2024). Exploration of the model of deepen industry–education integration in the digital economy era. Journal of Internet and Digital Economics, 4(3), 179-186. https://doi.org/10.1108/JIDE-07-2024-0030
  • Yun, H., & Park, D. (2024). Low-power lane detection unit with sliding-based parallel segment detection accelerator for FPGA. IEEE Access, 12, 4339-4353. https://doi.org/10.1109/ACCESS.2023.3348478
  • Zaher, H. F., & Marquez-Illescas, G. (2024). Power in the supply chain: A state-of-the-art literature review and propositions from the perspective of gender differences. Journal of Business & Industrial Marketing, 39(6), 1282-1310. https://doi.org/10.1108/JBIM-10-2022-0484
  • Zelbst, P. J., Yang, L., Green, K. W., & Sower, V. E. (2024). Linkages between technologies and supply chain performance: Benefits, power and risk reduction. Supply Chain Management: An International Journal, 29(1), 207-218. https://doi.org/10.1108/SCM-03-2023-0131
  • Zhang, P. (2024). Training for gig workers: A systematic review and research agenda. The Learning Organization, 32(2), 149-168. https://doi.org/10.1108/TLO-10-2022-0124
  • Zhang, X., Cai, Y., Huang, Q., & Shuang, Z. (2024, May 10-12). Sub-pixel edge detection algorithm based on improved Zernike moments [Paper presentation]. 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE), Guangzhou, China.
  • Zhang, X., Li, W., Ji, T., & Xie, H. (2024). The impact of ESG performance on firms’ technological innovation: Evidence from China. Frontiers in Environmental Science, 12, Article 1342420. https://doi.org/10.3389/fenvs.2024.1342420
  • Zhang, Y., & Yan, D. (2024). Legal protection for gig workers' availability time: An empirical study of take-out platform riders in Beijing. Employee Relations: The International Journal, 46(1), 133-146. https://doi.org/10.1108/ER-06-2022-0268
  • Zhang, Z., & Min, M. (2024). Why project managers’ knowledge hiding is harmful to NPD projects: Resilient team resource caravans as an explanatory mechanism. International Journal of Operations & Production Management, 44(12), 2013-2035. https://doi.org/10.1108/IJOPM-01-2023-0018
  • Zhao, Y. (2024). Development of big data assisted effective enterprise resource planning framework for smart human resource management. PLoS One, 19(5), Article e0303297. https://doi.org/10.1371/journal.pone.0303297
  • Zhao, Z., Zhao, S., Lv, F., Si, S., Zhu, H., & Sun, L. (2024). RIETD: A reputation incentive scheme facilitates personalized edge tampering detection. IEEE Internet of Things Journal, 11(8), 14771-14788. https://doi.org/10.1109/JIOT.2023.3344709
  • Zheng, W., Wan, A. K. Y., Chen, Z., Clark, A., Court, C., Gu, Y., Park, T., Reynolds, J., Zhang, X., Li, L., & Lee, T. M. (2024). Use of consumer insights to inform behavior change interventions aimed at illegal pet turtle trade in China. Conservation Biology, 38(5), Article e14352. https://doi.org/https://doi.org/10.1111/cobi.14352
  • Zhou, F., Lu, Z., Huang, H., Liu, Y., Zhang, H., Yang, Z., Chen, Z., Zhan, D., & Huang, Z. (2024, June 28-30). Cande: A model for predicting the risk of campus violence in an edge intelligent computing architecture [Paper presentation]. 2024 IEEE 10th International Conference on Edge Computing and Scalable Cloud (EdgeCom), Shanghai, China.
  • Zhou, M., & Niu, Y. (2025). What is the role of cross-ownership in corporate digital innovation: “Stepping stone” or “hindrance”? Business Process Management Journal, Advanced publication. https://doi.org/10.1108/BPMJ-09-2023-0746
  • Zhou, M., & Zhang, L. (2024, April 26-27). Edge detection algorithm for urban road images based on deep learning [Paper presentation]. 2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballari, India.
  • Zhou, S., Li, M., Chen, S., Jiang, D., Qu, Y., & Xu, X. (2024). Work pressure, coping styles and occupational burnout among Chinese police officers: A meta-analytic review. BMC Psychology, 12(1), Article 275. https://doi.org/10.1186/s40359-024-01779-6
  • Zubir, M. Z., Noor, A. A., Mohd Rizal, A. M., Harith, A. A., Abas, M. I., Zakaria, Z., & AF, A. B. (2024). Approach in inputs & outputs selection of data envelopment analysis (DEA) efficiency measurement in hospitals: A systematic review. PLoS One, 19(8), Article e0293694. https://doi.org/10.1371/journal.pone.0293694