Conjoint Analysis

Conjoint Analysis is a statistical modeling method in preference analysis that identifies the relative importance of product or service attributes by decomposing individuals' stated or revealed preferences into part-worth utilities through experimentally designed trade-off scenarios.

2.5K

Publications

213K

Citations

6K

Authors

2.1K

Institutions

Publications per year

2017–2026

657

Authors

6K

  1. PE
    Paul E. Green

    University of Pennsylvania, United States

    33 publications · 5.3K citations

    28

    h-index

  2. HM
    Howard Moskowitz

    Jacobs Institute, United States

    29 publications · 1.2K citations

    19

    h-index

  3. JJ
    Jordan J. Louviere

    University of Technology Sydney, Australia

    18 publications · 2.9K citations

    16

    h-index

  4. AΜ
    Abba Μ. Krieger

    University of Pennsylvania, United States

    18 publications · 2.7K citations

    15

    h-index

  5. DR
    Dick R. Wittink

    Cornell University, United States

    17 publications · 3K citations

    15

    h-index

1–5 of 6K

Venues

  1. Journal of Marketing Research

    97 publications · 11.1K citations

    56

    h-index

  2. Marketing Science

    28 publications · 4.1K citations

    24

    h-index

  3. Journal of Sensory Studies

    34 publications · 1.5K citations

    24

    h-index

  4. Management Science

    25 publications · 3.3K citations

    24

    h-index

  5. Journal of Product Innovation Management

    27 publications · 2.8K citations

    22

    h-index

1–5