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Creative Commons licence CC BY-NC (Attribution-NonCommercial)Logforum. 2023. 19(3), article 11, 481-495; DOI: https://doi.org/10.17270/J.LOG.2023.864


Omar Boubker1, Khaled Naoui2, Mohamed El Abdellaoui2, Ahmed Lafdili3

1Research Laboratory on Development and Valorization of Resources in Desert Zones, Laayoune Higher School of Technology, Ibn Zohr University, Agadir, Morocco
Department of Economics and Management, National School of Business and Management, Ibn Zohr University, Morocco
National School of Business and Management, AE University, Tangier, Morocco


Background: Supply chain management (SCM) practices play a significant role in modern business success through coordinating the continuous flow of goods, services and information within complex networks. At this level, the collaboration between supply chain (SC) members constitutes an important determinant of supply chain performance. Therefore, this study aims to explore the effect of supply chain collaboration dimensions, i.e., such as decision synchronization, collaborative communication, incentive alignment, goal congruence, information sharing joint knowledge creation, and resource sharing, on the level of supply chain performance.

Methods: The dataset was gathered using a convenience sampling procedure from middle and senior automotive SC executives. Partial least squares structural equation modeling (PLS-SEM) using SmartPLS software was carried out in order to analyze the data.

Results: The results show that collaborative communication, information sharing, incentive alignment, joint knowledge creation, and goal congruence contribute considerably to enhancing the automotive SC performance.

Conclusions: These findings have valuable implications for practitioners in order to adopt the appropriate practices to improve automotive SC performance. These insights can help to guide practitioners in implementing the appropriate collaborative practices to meet the specific challenges of the automotive supply chain. By considering these guidelines, practitioners will be able to streamline processes, optimize resource allocation and ultimately deliver more efficient outcomes, leading to improved overall automotive supply chain performance.


Keywords: Automotive industry, supply chain, collaboration, performance, structural equation modeling
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For citation:

MLA Boubker, Omar, et al. "Delving into the nexus of collaboration and supply chain performance. Empirical evidence from automotive industry." Logforum 19.3 (2023): 11. DOI: https://doi.org/10.17270/J.LOG.2023.864
APA Omar Boubker, Khaled Naoui, Mohamed El Abdellaoui, Ahmed Lafdili (2023). Delving into the nexus of collaboration and supply chain performance. Empirical evidence from automotive industry. Logforum 19 (3), 11. DOI: https://doi.org/10.17270/J.LOG.2023.864
ISO 690 BOUBKER, Omar, et al. Delving into the nexus of collaboration and supply chain performance. Empirical evidence from automotive industry. Logforum, 2023, 19.3: 11. DOI: https://doi.org/10.17270/J.LOG.2023.864