Adoption Dynamics Modeling

Adoption Dynamics Modeling is a computational or mathematical framework that specifies the mechanisms and temporal patterns governing the diffusion and uptake of innovations within a population, distinguishing itself from general forecasting models by explicitly representing the interplay of individual decision-making, social influence, and network structure in the adoption process.

93

Publications

6.2K

Citations

224

Authors

127

Institutions

Publications per year

2017–2026

31

Authors

224

  1. JD
    John D. Sterman

    Massachusetts Institute of Technology, United States

    3 publications · 497 citations

    3

    h-index

  2. JS
    Jeroen Struben

    École de management de Lyon, France

    3 publications · 497 citations

    3

    h-index

  3. PM
    Philip M. Parker

    INSEAD, France

    2 publications · 172 citations

    2

    h-index

  4. MS
    Miklós Sárváry

    INSEAD, France

    2 publications · 34 citations

    2

    h-index

  5. JH
    Joseph Henrich

    University of British Columbia, Canada

    2 publications · 575 citations

    2

    h-index

1–5 of 224

Venues

  1. Technological Forecasting and Social Change

    5 publications · 169 citations

    5

    h-index

  2. 3

    h-index

  3. Energy Research & Social Science

    ERSS · 2 publications · 126 citations

    2

    h-index

  4. Energy

    2 publications · 64 citations

    2

    h-index

  5. Journal of Marketing Research

    2 publications · 172 citations

    2

    h-index

1–5