Papers
7
Total Citations
881
H-Index
5
About
Sheshadri Chatterjee is a prolific researcher whose work sits at the dynamic intersection of artificial intelligence, robotics, and digital transformation in organizational and societal contexts. Best known for his highly influential 2021 study on AI adoption in manufacturing — which has amassed an impressive 648 citations — Chatterjee developed an integrated TAM-TOE framework that has become a foundational reference for scholars examining how firms embrace intelligent technologies. His research consistently bridges theory and practice, exploring how individuals, organizations, and regulatory environments shape the uptake of emerging technologies. A significant thread of Chatterjee's scholarship examines social robotics, investigating adoption barriers related to security, privacy, legal frameworks, and even engineering aesthetics — demonstrating a rare sensitivity to both technical and human dimensions of innovation. His 2019 work on AI regulation and robot usage intention further reflects his interest in policy-level influences on technology diffusion. More recently, he has expanded his horizons into industrial metaverse technologies and digital twin ecosystems, with early-stage work already attracting 37 citations since 2025. His contributions to supply chain resilience post-COVID-19 round out a research portfolio that is consistently responsive to real-world challenges, making Chatterjee a versatile and timely voice in the global conversation on digital transformation.
Research Focus
Key Achievements
Top Papers
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- 3Impact of AI regulation on intention to use robots80 citations · 2019
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- 6Transforming Supply chain Management through Industry 4.05 citations · 2021
- 7