Impact of Logistic Collaboration on Supply Chain Performance
Author(s)
Dr. Masood Hassan , Rana Muhammad Qasim ,
Download Full PDF Pages: 128-135 | Views: 208 | Downloads: 57 | DOI: 10.5281/zenodo.6907328
Abstract
This quantitative study aims to identify the impact of logistic collaboration on supply chain performance. For this purpose, the influence of the characteristics involving trust, organizational commitment, interdependence of supply chain, involvement of information technology and involvement of top management were explored. The results indicate that all of the characteristics of supply chain collaboration have a significant positive impact on supply chain performance except the factor of trust among supply chain partners. The study recommends supply chain collaboration as an important element for increasing supply chain performance The study opens directions for future studies in the area if supply chain collaboration.
Keywords
Supply chain performance, Supply chain collaboration, Trust, Organizational commitment, Interdependence of supply chain.
References
Badraoui, I., Boulaksil, Y., & Van der Vorst, J. G. (2021). A typology of horizontal logistics collaboration concepts: an illustrative case study from agri-food supply chains. Benchmarking: An International Journal.
Chen, Q., Hall, D. M., Adey, B. T., & Haas, C. T. (2020). Identifying enablers for coordination across construction supply chain processes: a systematic literature review. Engineering, Construction and Architectural Management.
Chu, Z., Wang, Q., Lai, F., & Collins, B. J. (2019). Managing interdependence: Using Guanxi to cope with supply chain dependency. Journal of Business Research, 103, 620-631.
Durach, C. F., Kembro, J. H., & Wieland, A. (2021). How to advance theory through literature reviews in logistics and supply chain management. International Journal of Physical Distribution & Logistics Management.
Golpîra, H., Khan, S. A. R., & Safaeipour, S. (2021). A review of logistics internet-of-things: current trends and scope for future research. Journal of Industrial Information Integration, 22, 100194.
Hou, Y., Wang, X., Wu, Y. J., & He, P. (2018). How does the trust affect the topology of supply chain network and its resilience? An agent-based approach. Transportation Research Part E: Logistics and Transportation Review, 116, 229-241.
Ma, H. L., Wang, Z. X., & Chan, F. T. (2020). How important are supply chain collaborative factors in supply chain finance? A view of financial service providers in China. International Journal of Production Economics, 219, 341-346.
Mahadevan, K., Elias, A., & Samaranayake, P. (2022). Supply chain performance measurement through collaborative effectiveness: an Asia–Pacific perspective. International Journal of Productivity and Performance Management.
Paul, S. K., Sarker, R., & Essam, D. (2016). Managing risk and disruption in production-inventory and supply chain systems: A review. Journal of Industrial and Management Optimization.
Richey, R. G., Roath, A. S., Adams, F. G., & Wieland, A. (2022). A responsiveness view of logistics and supply chain management. Journal of Business Logistics, 43(1), 62-91.
Richey, R. G., Roath, A. S., Adams, F. G., & Wieland, A. (2022). A responsiveness view of logistics and supply chain management. Journal of Business Logistics, 43(1), 62-91.
Shcherbakov, V., & Silkina, G. (2021). Supply chain management open innovation: Virtual integration in the network logistics system. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 54.
Susanto, E., & Othman, N. (2021). The factors influencing modeling of collaborative performance supply chain: A review on fresh produce. Uncertain Supply Chain Management, 9(2), 373-392.
Xu, X., & He, Y. (2022). Blockchain application in modern logistics information sharing: a review and case study analysis. Production Planning & Control, 1-15.
Yusuf, A., & Soediantono, D. (2022). Supply Chain Management and Recommendations for Implementation in the Defense Industry: A Literature Review. International Journal of Social and Management Studies, 3(3), 63-77.
Zhou, Z., Liu, Y., Yu, H., & Chen, Q. (2021). Logistics supply chain information collaboration based on FPGA and internet of things system. Microprocessors and Microsystems, 80, 103589.
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