Attribute Importance Analysis

Attribute Importance Analysis is a methodological framework in consumer preference testing that identifies and quantifies the relative influence of product or service attributes on consumer decision-making by distinguishing core drivers of preference from peripheral factors.

883

Publications

58.6K

Citations

2.2K

Authors

999

Institutions

Publications per year

2017–2026

310

Authors

2.2K

  1. WD
    Wei‐Jaw Deng

    Chung Hua University, Taiwan

    5 publications · 933 citations

    5

    h-index

  2. KM
    Kurt Matzler

    Universität Innsbruck, Austria

    5 publications · 1.9K citations

    5

    h-index

  3. JM
    Josip Mikulić

    University of Zagreb, Croatia

    4 publications · 338 citations

    4

    h-index

  4. VS
    V. Srinivasan

    Stanford University, United States

    4 publications · 3.7K citations

    4

    h-index

  5. JJ
    Jordan J. Louviere

    University of Technology Sydney, Australia

    4 publications · 490 citations

    4

    h-index

1–5 of 2.2K

Venues

  1. Journal of Marketing Research

    17 publications · 1.7K citations

    17

    h-index

  2. Sustainability

    18 publications · 486 citations

    15

    h-index

  3. Tourism Management

    14 publications · 3.2K citations

    14

    h-index

  4. Food Quality and Preference

    13 publications · 1K citations

    12

    h-index

  5. Total Quality Management & Business Excellence

    10 publications · 679 citations

    11

    h-index

1–5