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

Authors

30

  1. SK
    Sunil Kumar Reddy Anumandla

    Visa (United States), United States

    1 publications · 28 citations

    1

    h-index

  2. AK
    Ali K. Dogru

    University of Southern Mississippi, United States

    1 publications · 69 citations

    1

    h-index

  3. IB
    Indranil Bose

    Indian Institute of Management Calcutta, India

    1 publications · 289 citations

    1

    h-index

  4. HZ
    Haili Zhang

    Xi'an Technological University, China

    1 publications · 28 citations

    1

    h-index

  5. BB
    Burcu B. Keskin

    University of Alabama, United States

    1 publications · 69 citations

    1

    h-index

1–5 of 30

Venues

  1. Annals of Operations Research

    1 publications · 289 citations

    1

    h-index

  2. Journal of Data Information and Management

    1 publications · 69 citations

    1

    h-index

  3. Research Policy

    1 publications · 53 citations

    1

    h-index

  4. Journal of Operations Management

    1 publications · 212 citations

    1

    h-index

  5. Frontiers in Oncology

    1 publications · 16 citations

    1

    h-index

1–5