Ranking-based Conjoint Analysis

Ranking-Based Conjoint Analysis is a preference elicitation method in which respondents rank a set of multi-attribute alternatives in order of preference, distinguishing it from other conjoint approaches by using full-rank data to estimate part-worth utilities through ordinal regression techniques.

368

Publications

20K

Citations

1.3K

Authors

577

Institutions

Publications per year

2017–2026

102

Variants

Rank-based Conjoint Analysis

Authors

1.3K

  1. JF
    John F. P. Bridges

    Johns Hopkins University, United States

    7 publications · 691 citations

    7

    h-index

  2. SY
    So Young Sohn

    Yonsei University, South Korea

    6 publications · 213 citations

    6

    h-index

  3. AK
    Ardvin Kester S. Ong

    Mapúa University, Philippines

    6 publications · 178 citations

    6

    h-index

  4. YT
    Yogi Tri Prasetyo

    Mapúa University, Philippines

    5 publications · 157 citations

    5

    h-index

  5. PE
    Paul E. Green

    University of Pennsylvania, United States

    5 publications · 1.1K citations

    5

    h-index

1–5 of 1.3K

Venues

  1. Food Quality and Preference

    10 publications · 641 citations

    10

    h-index

  2. Sustainability

    8 publications · 282 citations

    8

    h-index

  3. Journal of Marketing Research

    8 publications · 1.5K citations

    8

    h-index

  4. Expert Systems with Applications

    8 publications · 272 citations

    8

    h-index

  5. Patient

    6 publications · 542 citations

    6

    h-index

1–5