Ai-augmented Operations
AI-Augmented Operations is a digital operating model construct that integrates artificial intelligence technologies into core operational processes to enhance decision-making, automate complex tasks, and enable adaptive performance through real-time learning and feedback loops.
9
Publications
780
Citations
30
Authors
18
Institutions
Publications per year
2017–2026
9
Parents
9
Martin Spring, James Faulconbridge, Atif Sarwar · Journal of Operations Management · 2022 · 212 citations · Full text
Economic impacts of AI-augmented R&D
Tamay Besiroglu, Nicholas Emery-Xu, Neil Thompson · Research Policy · 2024 · 53 citations · Full text
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18

Dallas County
Dallas, United States
1 h-index
1 publications
28 citations

Civil Aviation Flight University of China
Luocheng, China
1 h-index
1 publications
74 citations
University of Southern Mississippi
Hattiesburg, United States
1 h-index
1 publications
69 citations
Civil Aviation Administration of China
Beijing, China
1 h-index
3 publications
222 citations
Cognizant (United States)
Teaneck, United States
1 h-index
1 publications
28 citations
University of Alabama
Tuscaloosa, United States
1 h-index
1 publications
69 citations

NEOMA Business School
Mont-Saint-Aignan, France
1 h-index
1 publications
289 citations
Clear Creek Independent School District
League City, United States
1 h-index
1 publications
28 citations
1–8 of 18
1 publications · 289 citations
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1 publications · 69 citations
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1 publications · 53 citations
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1 publications · 212 citations
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1 publications · 16 citations
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