Title
Identification of determinant attributes using the analytic hierarchy process
Abstract
This article develops a new approach, using information available in the intermediate and final phases of the analytic hierarchy process, to explicitly identify which attributes or criteria are determinant in making a choice among several given alternatives. The approach parallels that used in the popular direct dual questioning determinant attribute (DQDA) analysis, which has been widely used in marketing applications. Using the hierarchical structure and pairwise comparisons, the combined relative priorities of the criteria are compared with the relative priorities of the choice alternatives to compute determinance scores. These values are the basis for identifying which of the criteria are both important and different across alternatives (i.e., determinant). This new approach overcomes the potential ambiguities of traditional direct dual questioning methods. Moreover, the approach is easily extended to include decision hierarchies with multiple levels of attributes and subattributes. © 1994 Academy of Marketing Science.
Publication Date
9-1-1994
Publication Title
Journal of the Academy of Marketing Science
Volume
22
Issue
4
Number of Pages
383-392
Document Type
Article
Identifier
scopus
Personal Identifier
scopus
DOI Link
https://doi.org/10.1177/0092070394224007
Copyright Status
Unknown
Socpus ID
21844516089 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/21844516089
STARS Citation
Armacost, Robert L. and Hosseini, Jamshid C., "Identification of determinant attributes using the analytic hierarchy process" (1994). Scopus Export 1990s. 110.
https://stars.library.ucf.edu/scopus1990/110