Product Positioning: A Comparison of Perceptual Mapping Techniques
Journal of Product & Brand ManagementPublished 1 April 1993
Chiranjeev Kohli, Lance Leuthesser
Citations55
SJR quartileQ1
SJR score1.89
SNIP1.67
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Product positioning is a crucial component of competitive marketing strategy. Perceptual mapping techniques are frequently used to aid managers in making product positioning decisions. Presents an overview of perceptual mapping, explains the conceptual foundation, and compares three widely used techniques – factor analysis, discriminant analysis, and multidimensional scaling. Highlights differences in these analytical techniques, with implications for marketing managers.
Keywords
Business, Management and Accounting
Journal of Marketing ResearchAlternative Perceptual Mapping Techniques: Relative Accuracy and Usefulness
207 Citations1979John R. Hauser, Frank S. Koppelman
This article presents theoretical arguments and empirical evidence which suggest that factor analysis is superior to discriminant analysis and similarity scaling with respect to predictive ability, managerial interpretability, and ease of use.
Journal of Marketing ResearchAnalyzing Marketing Research Data with Incomplete Information on the Dependent Variable
89 Citations1987Naresh K. Malhotra
A model is proposed for analyzing incomplete data in an important class of problems in marketing research and some of the advantages and limitations of the approach are discussed.
Journal of Marketing ResearchOn the Validity and Reliability of Direct Similarity Judgments
42 Citations1976John O. Summers, David B. MacKay
The writers raise several conceptual issues concerning direct similarity judgments and provide data on their reliability and validity and the results present a discouraging view of these judgments as measures of individual perceptions.
Journal of Marketing ResearchValidity and Structural Reliability of Multidimensional Scaling
42 Citations1987Naresh K. Malhotra
The results indicate reasonable validity of multidimensional scaling and that MDS solutions are fairly robust to the impact of embedding but less robust to changes in stimulus domain.
Journal of Marketing ResearchThe Robustness of MDS Configurations in the Case of Incomplete Data
37 Citations1988Naresh K. Malhotra, Arun K. Jain +1 more
It is shown that robustness varies as the amount of incomplete data increases and that random methods of data deletion perform as well as cyclic designs and individual characteristics of respondents influence the quality of configurations obtained with incomplete data.
