Analyzing the factors that affects the artificial intelligence adoption in supply chain

Asmadi, Nurul Izzati (2025) Analyzing the factors that affects the artificial intelligence adoption in supply chain. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The adoption of artificial intelligence (AI) in the supply chain industry has transformational potential, with increased efficiency, accuracy, and creativity. This study attempts to examine the most important factor impacting AI adoption in the supply chain industry. Descriptive statistics and multiple regression models were used to uncover important factor of AI adoption. This report gave a comprehensive understanding of the essential factor that influence AI adoption in the supply chain sector. The findings provided useful insights for practitioners and policymakers working to promote AI integration, highlighting the need of improving technology capabilities, fostering supportive organizational cultures, and dealing with external constraints. Practical guidelines had been presented to help organizations navigate their AI adoption path, guaranteeing a deliberate approach to using AI for supply chain excellence. The expected results shows that technological readiness, defined as the availability of modern IT infrastructure and experienced individuals, is the most important factor driving AI adoption. Organizational support, such as top management commitment and an innovative culture, is also important. Additionally, external forces like as competitive dynamics and the regulatory environment have a substantial impact on AI adoption decisions.

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