Percorrer por autor "Nelles, Daniel Jasper"
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- AI in supply chainsPublication . Nelles, Daniel Jasper; Rajsingh, Peter V.AI in SC is an application that has the potential to be a disruptive force, presenting avenues to reduce complexity in operations, better managerial choice making, and innovations in effectiveness. But despite this potential, AI is only marginally adopted because the barriers include siloed data systems, a fear of change, and worrying about ethics. With this study, we sought to explore the drivers and barriers to AI adoption in SCM interact and what are the implications for a transformative change in the sector. We undertook a literature review of artificial intelligence and frameworks for consumer adoption of supply chain innovation, including the Technology Acceptance Model and Diffusion of Innovation. With the above, we aimed to identify underlying key concepts. The approach to primary data entailed expert interviews with industry professionals and a consumer survey. This allowed for triangulation against the secondary information available and fed into scenarios regarding possible adoption trajectories. The findings of AI capabilities in augmenting predictive analytics, automating processes, and enabling personalization can emerge as a foundational enabler of managing SCM challenges. This study contributes to AI in SCM discourse by revealing actionable strategies that organizations can adopt to make effective use of its potential. Concluding the gradual evolution of AI adoption is likely, with transformative impact contingent upon foundational barriers being addressed, and technological capabilities aligned with organizational objectives.