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
Parents
883
Importance-Performance Analysis
John A. Martilla, John James · Journal of Marketing · 1977 · 3.5K citations
Importance-Performance Analysis
John A. Martilla, John C. James · Journal of Marketing · 1977 · 1.7K citations
1–5 of 883
2.2K
5
h-index
5
h-index
4
h-index
4
h-index
4
h-index
1–5 of 2.2K
999

Hong Kong Polytechnic University
Hong Kong, Hong Kong
12 h-index
29 publications
2.7K citations
University of Michigan
Ann Arbor, United States
10 h-index
12 publications
971 citations
Chung Hua University
Hsinchu, Taiwan
9 h-index
19 publications
2.4K citations

University of Central Florida
Orlando, United States
7 h-index
10 publications
334 citations

University of Georgia
Athens, United States
7 h-index
10 publications
757 citations
Stanford University
Stanford, United States
7 h-index
7 publications
831 citations

University of Surrey
Guildford, United Kingdom
6 h-index
7 publications
445 citations
Kyung Hee University
Seoul, South Korea
6 h-index
8 publications
203 citations
1–8 of 999
17 publications · 1.7K citations
17
h-index
18 publications · 486 citations
15
h-index
14 publications · 3.2K citations
14
h-index
13 publications · 1K citations
12
h-index
10 publications · 679 citations
11
h-index
1–5