Ai Adoption Diffusion
AI Adoption Diffusion is a theoretical framework that specifies the processes and mechanisms by which artificial intelligence technologies are communicated, adopted, and institutionalized across individuals, organizations, or societies over time.
146
Publications
12.6K
Citations
423
Authors
253
Institutions
Publications per year
2017–2026
142
146
Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model
Sheshadri Chatterjee, Nripendra P. Rana, Yogesh K. Dwivedi et al. · Technological Forecasting and Social Change · 2021 · 655 citations · Full text
Engineering, Industrial Engineering, Information Technology +14
Purva Grover, Arpan Kumar Kar, Yogesh K. Dwivedi · Annals of Operations Research · 2020 · 401 citations
Business, Management Information Systems, Operations Management +17
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253

University of Toronto
Toronto, Canada
4 h-index
7 publications
465 citations
Tsinghua University
Beijing, China
4 h-index
6 publications
334 citations

University of Twente
Enschede, The Netherlands
3 h-index
19 publications
729 citations
TBS Education
Toulouse, France
3 h-index
4 publications
187 citations
National University of Singapore
Singapore, Singapore
3 h-index
11 publications
916 citations

Swansea University
Swansea, United Kingdom
3 h-index
3 publications
1.6K citations

University of Glasgow
Glasgow, United Kingdom
3 h-index
3 publications
229 citations
Stanford University
Stanford, United States
3 h-index
3 publications
209 citations
1–8 of 253
7 publications · 791 citations
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3 publications · 505 citations
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3 publications · 819 citations
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3 publications · 123 citations
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3 publications · 259 citations
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