Wyniki wyszukiwania - Biblioteka Nauki

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The effects of information technologies on automotive supply chain and firm performance. A PLS-SEM approach

100%

Boubker O.

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tom Vol. 18, no. 1

61--75

EN

Background: In today's context, information technology is increasingly taking a great interest for academics and practitioners. IT plays a critical role in supply chain readiness to meet market changes by lowering costs and enhancing quality. Hence, the objective of this article is to explore the effect of information technology integration (ITI) and supply chain information management (SCIM) on supply chain integration (SCI) and its association with supply chain performance (SCP) and firm performance in the automotive supply chain. Methods: The research data were collected from 177 middle and top-level managers of automotive firms installed in Morocco. The structural equation modelling under the partial least squares approach was used in testing the hypotheses and proposed model. Results: The study findings show that ITI and SCIM positively and significantly affect the level of SCI. In addition, SCI positively and significantly affects SCP and firm performance. Furthermore, SCP plays a direct and positive role in improving firm performance. Conclusions: The study results provide direction on how automotive SC managers might enhance automotive SCP and firm performance.

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Delving into the nexus of collaboration and supply chain performance. Empirical evidence from automotive industry

51%

Boubker O. , Naoui K. , Abdellaoui M. E. , Lafdili A.

LogForum

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2023

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tom Vol. 19, no. 3

481--495

EN

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.

3

Exploring the influence of is on collaboration, agility, and performance. The case of the automotive supply chain

51%

Khaled N. , Boubker O. , El-Abdellaoui M.

LogForum

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2023

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tom Vol. 19, no. 1

15--32

EN

Background: Supply chain information systems (SCIS) have turned into a key success factor for the proper management of the automotive supply chain. Therefore, the scope of this paper is to explore the impact of SC information system infrastructure (SCISI) and SC information sharing (ISSC) on interorganizational trust (IOT), SC collaboration (SCC), SC agility (SCA), and SC performance (SCP) in the Moroccan automotive industry context. Methods: The dataset was drawn from a selected sample of Moroccan automotive industry firms through an online survey. Furthermore, the partial least squares (PLS-SEM) procedure was applied to test the conceptual model. Results: The findings support the positive influence of SCIS infrastructure on IOT and SC agility. Similarly, information sharing in SC positively affects the collaboration between IOT and automotive SC. The results also provide evidence that IOT plays a significant role in improving SC agility. Lastly, agility and SC collaboration were identified as key drivers of SC of performance. Conclusions: The findings extend the existing literature on SC management and management information systems by providing empirical verification of how information sharing and IS infrastructure can influence collaboration, agility, and SC performance. These findings are useful in guiding SC managers through the process of improving SC performance.