EXPLORING THE NEXUS AMONG INFORMATION SHARING, INFORMATION TECHNOLOGY AND SUPPLY CHAIN PERFORMANCE: AN EMPIRICAL STUDY

Authors

  • Salem Aljazzar Industrial Engineering Department, College of Engineering, University of Business and Technology, Jeddah 21448, Saudi Arabia

Keywords:

Information Sharing, Information Technology, Supply Chain Performance, Smart PLS

Abstract

Supply chain performance is crucial for organizational success and gaining competitive advantage. Information technology plays a pivotal role by enhancing real-time visibility, communication, and coordination among stakeholders. Effective information sharing further accelerates decision-making, reduces lead times, and improves responsiveness to market demands, thereby enhancing overall supply chain performance. This study aims to investigate the impact of informations sharing and information technology on supply chain performance within the manufacturing sector of Saudi Arabia. Data were gathered from 350 employees using a convenient sampling technique. Employing a deductive quantitative approach and cross-sectional research design, data were analysed using SPSS and Smart PLS. The findings from Partial Least Squares Structural Equation Modelling (PLS-SEM) indicate that information technology significantly and positively influences supply chain performance. Similarly, information sharing also demonstrates a positive and significant impact on supply chain performance among manufacturing companies in Saudi Arabia. These results contribute theoretically to the literature on Saudi Arabian manufacturing contexts. Additionally, future research could assist policymakers and investment bodies in prioritizing information technology infrastructure to enhance supply chain performance. The study concludes with a discussion on limitations and proposes directions for future research.

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Published

2024-09-08

How to Cite

Salem Aljazzar. (2024). EXPLORING THE NEXUS AMONG INFORMATION SHARING, INFORMATION TECHNOLOGY AND SUPPLY CHAIN PERFORMANCE: AN EMPIRICAL STUDY. Operational Research in Engineering Sciences: Theory and Applications, 7(2). Retrieved from http://oresta.org/menu-script/index.php/oresta/article/view/743