Brand choice model selection based on consumers' multicriteria preferencesand experts' knowledge

Citation
Nf. Matsatsinis et Ap. Samaras, Brand choice model selection based on consumers' multicriteria preferencesand experts' knowledge, COMPUT OPER, 27(7-8), 2000, pp. 689-707
Citations number
24
Categorie Soggetti
Engineering Management /General
Journal title
COMPUTERS & OPERATIONS RESEARCH
ISSN journal
03050548 → ACNP
Volume
27
Issue
7-8
Year of publication
2000
Pages
689 - 707
Database
ISI
SICI code
0305-0548(200006/07)27:7-8<689:BCMSBO>2.0.ZU;2-H
Abstract
A primary goal in the marketing science is to describe, model, and finally predict the behavior of the consumers and their attitudes towards the produ cts that form the market. Multicriteria analysis is a powerful tool in our effort to reveal the preferences of the consumers according to multiple poi nts of view. The use of multiattribute utility theory along with models of consumer behavior permits the analyst to explore and describe different pat terns in consumer's decision making by studying the distribution of assigne d utilities. The results are converted into simple "if...then" rules and a knowledge base is constructed. Consequently, the decision maker obtains an additional tool in his/her effort to model in a most efficient manner the e nvironment of the market. Scope and purpose The study of consumer behavior has gained an important fraction of attentio n and scientific research in marketing science. A broad variety of efforts and theories that attempt to describe the factors which influence the consu mers in their purchasing decisions along with models which attempt to provi de an estimate of the product's purchasing probabilities has been developed . Usually, in the application of these brand choice models, it is assumed t hat consumers share the same type of behavior and attitudes and in any case a single model can be used in order to derive the purchasing probabilities for the examined products. However, the study of the utility functions, es timated by the help of multicriteria analysis methods, reveals that this as sumption may lead to an erroneous abstraction of the reality. The distribut ion of preferences, which differs from consumer to consumer, indicates that each individual shares different attitudes and types of behavior towards t he examined products. Therefore, a more realistic approach would involve th e selection of the most applicable model based on the type of consumer beha vior and the inherent characteristics of the model itself. However. most de cision makers do not possess the necessary knowledge to perform this type o f analysis. An approach that can actually aid the analysis is to develop a convenient and comprehensive mechanism, which matches an appropriate brand choice model to each consumer, and provides the decision maker with the mos t applicable brand choice model, (C) 2000 Elsevier Science Ltd. All rights reserved.