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

Authors

423

  1. DR
    Daniel Russo

    Aalborg University, Denmark

    3 publications · 196 citations

    3

    h-index

  2. YK
    Yogesh K. Dwivedi

    Swansea University, United Kingdom

    3 publications · 1.6K citations

    3

    h-index

  3. SK
    Simon Krause

    Mendel University in Brno, Czechia

    2 publications · 119 citations

    2

    h-index

  4. DG
    Dragan Gašević

    Monash University, Australia

    2 publications · 263 citations

    2

    h-index

  5. AA
    Amélie Abadie

    TBS Education, France

    2 publications · 108 citations

    2

    h-index

1–5 of 423

Venues

  1. Technology in Society

    7 publications · 791 citations

    7

    h-index

  2. Government Information Quarterly

    3 publications · 505 citations

    3

    h-index

  3. Technovation

    3 publications · 819 citations

    3

    h-index

  4. PLoS ONE

    3 publications · 123 citations

    3

    h-index

  5. Journal of Medical Internet Research

    3 publications · 259 citations

    3

    h-index

1–5