THE NEXUS OF IT CAPABILITIES, SUPPLY CHAIN CAPABILITIES, AND PERFORMANCE: A MEDIATION ANALYSIS IN THE RETAIL INDUSTRY
Turki Al Masaeid, Haitham M. Alzoubi
Abstract
This study aims to make a distinctive contribution to the supply chain management literature by providing unique insights into the interplay between information technology capabilities, supply chain capabilities, and supply chain performance in the UAE retail industry. This study employed a quantitative survey-based approach, focusing on the top 15 of 376 furniture stores in Dubai. Employing a convenience sampling method, an online survey was distributed via email to the participants. Of the 248 collected questionnaires, 215 were subjected to analysis. The respondents included employees from information technology departments and top management in the surveyed companies. The study used partial least squares (PLS)-structural equation modeling (SEM) software. Contemporary analysis enhances prior research on IT and SC capabilities. Statistical analysis offers robust evidence that both information technology and supply chain capabilities significantly influence supply chain performance. Moreover, this study reveals that additional supply chain capabilities mediate the impact of information technology capabilities on supply chain performance. This research stands out because of the increasing recognition of IT as a strategic enabler of supply chain management. Understanding the underlying mechanisms through which IT capabilities impact overall supply chain performance is paramount. This study introduces the concept that supply chain capabilities serve as mediating factors, translating the influence of IT capabilities into enhanced supply chain performance. By unraveling this mediating relationship, this study contributes to the existing literature by providing a deeper understanding of the intricate dynamics between IT capabilities, supply chain capabilities, and supply chain performance. Keywords : Information Technology Capabilities, Supply Chain Capabilities, Supply Chain Performance DOI： https://doi.org/10.35741/issn.0258-2724.58.4.57