Track: Supply Chain Management

Abstract

This research explores the application of artificial intelligence (AI) in the oil and gas supply chain management. A location perspective is adopted to understand the dynamics of AI technologies from upstream to downstream of the oil and gas supply chain. The paper uses a literature review approach to capture representative research along the whole supply chain. A descriptive and comparative analysis for the reviewed papers were conducted to gain a better understanding of the opportunities and challenges of AI in this industry’s supply chain. Results from the conducted analysis revealed important insights about AI implementation dynamics in the oil and gas industry. Furthermore, various recommendations for the technology managers, policymakers, practitioners and industry leaders in the oil and gas industry to ensure successful AI implementation were outlined