Ai Assimilation

AI Assimilation is a theoretical framework that specifies the mechanisms and conditions under which artificial intelligence innovations are integrated into organizational practices, distinguishing it from related adoption concepts by emphasizing the transformation and internalization of AI capabilities within socio-technical systems.

37

Publications

5.8K

Citations

114

Authors

89

Institutions

Publications per year

2017–2026

34

Authors

114

  1. SF
    Samuel Fosso Wamba

    TBS Education, France

    3 publications · 403 citations

    3

    h-index

  2. AS
    Anjala S. Krishen

    University of Nevada, Las Vegas, United States

    1 publications · 61 citations

    1

    h-index

  3. AM
    Ashish Malik

    University of Newcastle Australia, Australia

    1 publications · 176 citations

    1

    h-index

  4. MN
    Minh‐Hoang Nguyen

    Phenikaa University, Vietnam

    1 publications · 123 citations

    1

    h-index

  5. LT
    Laura Trinchera

    NEOMA Business School, France

    1 publications · 74 citations

    1

    h-index

1–5 of 114

Venues

  1. Industrial Marketing Management

    4 publications · 452 citations

    4

    h-index

  2. Public Relations Review

    1 publications · 30 citations

    1

    h-index

  3. Academy of Management Discoveries

    1 publications · 542 citations

    1

    h-index

  4. Data Science and Management

    DSM · 1 publications · 42 citations

    1

    h-index

  5. Business Horizons

    1 publications · 113 citations

    1

    h-index

1–5