Preference Drivers Analysis

Preference Drivers Analysis is a statistical modeling approach that identifies and quantifies the relative influence of specific product attributes or sensory characteristics on overall consumer preference, distinguishing it from generic market research methods by focusing on attribute-level determinants of preference heterogeneity.

49

Publications

1.9K

Citations

196

Authors

100

Institutions

Publications per year

2017–2026

17

Authors

196

  1. MD
    M.A. Drake

    North Carolina State University, United States

    2 publications · 41 citations

    2

    h-index

  2. GA
    Gastón Ares

    Universidad de la República de Uruguay, Uruguay

    2 publications · 302 citations

    2

    h-index

  3. HJ
    Harald J. van Heerde

    Tilburg University, Netherlands

    2 publications · 160 citations

    2

    h-index

  4. PV
    Paula Varela

    Instituto de Agroquímica y Tecnología de Alimentos, Spain

    2 publications · 246 citations

    2

    h-index

  5. FM
    Fernando Meneses-González

    Instituto Nacional de Salud Pública, Mexico

    1 publications · 18 citations

    1

    h-index

1–5 of 196

Venues

  1. Journal of Sensory Studies

    5 publications · 213 citations

    5

    h-index

  2. Food Quality and Preference

    3 publications · 317 citations

    3

    h-index

  3. Journal of Food Science

    JFS · 2 publications · 56 citations

    2

    h-index

  4. Journal of Retailing and Consumer Services

    2 publications · 46 citations

    2

    h-index

  5. Food Research International

    2 publications · 94 citations

    2

    h-index

1–5