Bradshaw, Adrian, and Tang, Chun Meng (2026) Transforming Operations and Supply Chain Management with AI-Driven Digital Applications. In: Noor, Nurhafihz, Tan, Kim Lim, Jang, Haejin, Wood, Jacob, and Thirumaran, K., (eds.) Emerging Technologies and Business Development in the Tropics: a roadmap for transformation. Routledge, Abingdon, UK, pp. 111-125.

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Abstract

The rapid advancement of artificial intelligence (AI) has led to its increasing adoption in digital applications for operations and supply chain management. Businesses leverage AI-driven digital applications for various purposes, including better demand forecasting, increased production efficiency, and improved inventory management. However, this adoption faces challenges such as high implementation costs, data privacy concerns, and workforce skill gaps, especially for businesses that are new to AI technologies. While past studies have explored AI adoption in business, gaps remain in understanding the holistic perspective of the different factors contributing to successful adoption. This study fills these gaps by using the Driver-Pressure-State-Impact-Response (DPSIR) framework to examine primary empirical studies on AI-driven digital applications for operations and supply chain management. Through a thematic analysis of 28 studies, this study identified a new theme called “enablers” in addition to the existing DPSIR themes of drivers, pressures, states, impacts, and responses and revealed new relationships between some of these themes. The study’s findings contribute to a deeper understanding of how AI applications can be leveraged in operations and supply chain management, offering practical insights for businesses embarking on their digital transformation journey and laying the groundwork for discussions of theoretical and managerial implications.

Item ID:	91047
Item Type:	Book Chapter (Research - B1)
ISBN:	978-1-003-58604-3
Copyright Information:	© 2026 selection and editorial matter, Nurhafihz Noor, Tan Kim Lim, Haejin Jang, Jacob Wood and K. Thirumaran; individual chapters, the contributors.
Date Deposited:	31 Mar 2026 03:06
FoR Codes:	35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3503 Business systems in context > 350307 Technology management @ 40% 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3509 Transportation, logistics and supply chains > 350909 Supply chains @ 40% 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3509 Transportation, logistics and supply chains > 350999 Transportation, logistics and supply chains not elsewhere classified @ 20%
SEO Codes:	22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence @ 100%
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