Abdullah M. Baabdullah
Papers
1
Total Citations
648
H-Index
1
About
Abdullah M. Baabdullah is a leading scholar in technology adoption and digital transformation, with a primary focus on artificial intelligence (AI) integration in industrial and organizational contexts. His most influential work, "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model" (2021), has garnered over 648 citations, establishing a foundational framework for analyzing how technological, organizational, and environmental factors drive AI implementation in manufacturing. Baabdullah’s research uniquely bridges theoretical models—combining the Technology Acceptance Model (TAM) with the Technology-Organization-Environment (TOE) framework—to offer practical insights for firms navigating Industry 4.0. Beyond this landmark study, his broader contributions examine user acceptance of emerging technologies, including e-commerce, mobile services, and smart systems, often emphasizing the role of trust, culture, and innovation diffusion. His work is widely cited by academics and practitioners alike, reflecting its impact on both theory and real-world decision-making. Baabdullah’s research continues to shape how organizations understand and leverage AI for competitive advantage, making him a key voice in the evolving discourse on digital transformation and technology management.
Research Focus
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Top Papers
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