Machine Learning Adoption
Machine Learning Adoption is the systematic integration and utilization of machine learning techniques within an organization or domain, distinguished from broader artificial intelligence adoption by its specific focus on data-driven algorithms that improve through experience.
200
Publications
13.4K
Citations
696
Authors
365
Institutions
Publications per year
2017–2026
191
200
Surajit Bag, J.H.C. Pretorius, Shivam Gupta et al. · Technological Forecasting and Social Change · 2020 · 839 citations
Business, Management Information Systems, Technology Management +17
Purva Grover, Arpan Kumar Kar, Yogesh K. Dwivedi · Annals of Operations Research · 2020 · 401 citations
Business, Management Information Systems, Operations Management +17
1–5 of 200
696
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3
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2
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2
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2
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1–5 of 696
365
University of Oxford
Oxford, United Kingdom
5 h-index
5 publications
236 citations

University of Toronto
Toronto, Canada
5 h-index
6 publications
294 citations

University of British Columbia
Vancouver, Canada
4 h-index
5 publications
463 citations
University of Washington
Seattle, United States
3 h-index
6 publications
139 citations
Chandigarh University
Mohali, India
3 h-index
3 publications
218 citations
Chalmers University of Technology
Gothenburg, Sweden
3 h-index
6 publications
234 citations
California State University, Bakersfield
Bakersfield, United States
3 h-index
5 publications
493 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
5 publications
140 citations
1–8 of 365
Repository · 11 publications · 277 citations
11
h-index
Repository · 10 publications · 315 citations
10
h-index
6 publications · 1.5K citations
6
h-index
4 publications · 379 citations
4
h-index
JBR · 4 publications · 226 citations
4
h-index
1–5