Moderating Role of Supply Chain Re-engineering Capabilities on Artificial Intelligence-Based Risk Management and Supply Chain Agility: A Resource-Based View

This research asserts that the integration of artificial intelligence (AI) empowers small and medium enterprises (SMEs) to adapt dynamically to unpredictable conditions within supply chains (SCs), reducing the potential financial burden associated with decision-making. Grounded in a resource-based perspective, the study explores the influence of Artificial Intelligence on Supply Chain risk management for small and medium enterprises. A conceptual framework encompassing AI-driven risk management Supply Chain re-engineering capabilities, and supply chain agility (SCA), was formulated and validated using data gathered from SME different levels of managers. The primary methodological approach employed is multiple regression. The findings reveal that the utilization of AI for risk management has a consequential impact on both SC re-engineering capabilities and agility. Furthermore, re-engineering capabilities not only influence but also moderate agility. In the current landscape characterized by heightened demand uncertainties in supply chains, managers face the challenge of making intricate decisions necessitating significant resources within constrained time frames. AI offers the ability to model diverse scenarios, addressing critical questions that traditional infrastructures struggle to handle. This research amalgamates a multiple-construct notion of agility and delineates non-linear interaction within the conceptual framework.