IoT Implementation in UAE Oil and Gas Supply Chains: A Structural Analysis of Critical Success Factors

The increased use of Internet of Things (IoT) technologies in supply chains has led to the increased urgency to know the organisational variables that facilitate successful implementation. Despite the numerous success factors revealed by the current research, the literature is fragmented and systematically uneven, and is not as well-developed analytically. The paper fills this gap by summarising the evidence base and using Interpretive Structural Modelling (ISM) to organise the contextual relationships between IoT success factors in the UAE oil and gas Supply chains. An initial search in Scopus retrieved sixty articles, out of which thirty-two qualified to be included. Eighteen papers have clearly mapped out IoT-related success factors, which resulted in sixty-two factors that were synthesised into twenty-eight consolidated factors, of which twenty-seven were validated for ISM analysis. The Structural Self-Interaction Matrix (SSIM) was created using expert judgement and then converted to a Final Reachability Matrix (FRM). A hierarchical ISM model was created based on this. The model also points out a three-level framework that involves key driving factors, a group of strongly interconnected linkage factors, and a group of dependent outcome factors. The results provide a systematic and theoretically based framework for the prioritisation of the implementation of IoT in complicated supply chain settings with application to the UAE oil and gas Supply chains.