Survey-based Forecasting

Survey-Based Forecasting is a demand forecasting method that relies on structured data collection from potential customers or experts through questionnaires or interviews to elicit direct insights about future product demand, distinguishing itself from other methods by its dependence on human judgment and stated preferences rather than historical sales data or statistical models.

118

Publications

6K

Citations

462

Authors

190

Institutions

Publications per year

2017–2026

17

Authors

462

  1. DC
    Dean Croushore

    University of Richmond, United States

    5 publications · 282 citations

    5

    h-index

  2. SV
    Simeon Vosen

    RWI – Leibniz Institute for Economic Research, Germany

    4 publications · 707 citations

    4

    h-index

  3. TC
    Torsten C. Schmidt

    University of Duisburg-Essen, Germany

    4 publications · 707 citations

    4

    h-index

  4. DV
    Domenico Viganola

    Stockholm School of Economics, Sweden

    3 publications · 286 citations

    3

    h-index

  5. PÖ
    Pär Österholm

    National Institute of Economic Research, Sweden

    3 publications · 53 citations

    3

    h-index

1–5 of 462

Venues

  1. SSRN Electronic Journal

    Repository · 15 publications · 621 citations

    13

    h-index

  2. Journal of Forecasting

    10 publications · 843 citations

    10

    h-index

  3. International Journal of Forecasting

    9 publications · 432 citations

    9

    h-index

  4. 4

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 4 publications · 109 citations

    4

    h-index

1–5