Technology Forecasting Models

Technology Forecasting Models is a systematic framework within the broader class of forecasting methodologies that specifically employs quantitative and qualitative techniques to predict the development, diffusion, and impact of emerging technologies by analyzing interdependencies among technological, social, economic, and political factors.

511

Publications

31.9K

Citations

1K

Authors

521

Institutions

Publications per year

2017–2026

118

Authors

1K

  1. AL
    Alan L. Porter

    Georgia Institute of Technology, United States

    17 publications · 1.1K citations

    14

    h-index

  2. TD
    Tuğrul Daim

    Portland State University, United States

    15 publications · 1.8K citations

    13

    h-index

  3. TR
    Timothy R. Anderson

    Portland State University, United States

    8 publications · 221 citations

    8

    h-index

  4. HA
    Harold A. Linstone

    Portland State University, United States

    7 publications · 836 citations

    7

    h-index

  5. SJ
    Sunghae Jun

    Cheongju University, South Korea

    7 publications · 339 citations

    7

    h-index

1–5 of 1K

Venues

  1. Technological Forecasting and Social Change

    124 publications · 10.6K citations

    54

    h-index

  2. Futures

    14 publications · 545 citations

    13

    h-index

  3. Technology Analysis and Strategic Management

    11 publications · 406 citations

    11

    h-index

  4. SSRN Electronic Journal

    Repository · 10 publications · 414 citations

    10

    h-index

  5. Long Range Planning

    7 publications · 272 citations

    7

    h-index

1–5