IDEAS home Printed from https://ideas.repec.org/p/ems/eureri/18462.html
   My bibliography  Save this paper

Perceptual maps: the good, the bad and the ugly

Author

Listed:
  • Gower, J.C.
  • Groenen, P.J.F.
  • van de Velden, M.
  • Vines, K.

Abstract

Perceptual maps are often used in marketing to visually study relations between two or more attributes. However, in many perceptual maps published in the recent literature it remains unclear what is being shown and how the relations between the points in the map can be interpreted or even what a point represents. The term perceptual map refers to plots obtained by a series of different techniques, such as principal component analysis, (multiple) correspondence analysis, and multidimensional scaling, each needing specific requirements for producing the map and interpreting it. Some of the major flaws of published perceptual maps are omission of reference to the techniques that produced the map, non-unit shape parameters for the map, and unclear labelling of the points. The aim of this paper is to provide clear guidelines for producing these maps so that they are indeed useful and simple aids for the reader. To facilitate this, we suggest a small set of simple icons that indicate the rules for correctly interpreting the map. We present several examples, point out flaws and show how to produce better maps.

Suggested Citation

  • Gower, J.C. & Groenen, P.J.F. & van de Velden, M. & Vines, K., 2010. "Perceptual maps: the good, the bad and the ugly," ERIM Report Series Research in Management ERS-2010-011-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  • Handle: RePEc:ems:eureri:18462
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/18462/ERS-2010-011-MKT.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David B. MacKay & Joseph L. Zinnes, 1986. "A Probabilistic Model for the Multidimensional Scaling of Proximity and Preference Data," Marketing Science, INFORMS, vol. 5(4), pages 325-344.
    2. William R. Dillon & Sunil Gupta, 1996. "A Segment-Level Model of Category Volume and Brand Choice," Marketing Science, INFORMS, vol. 15(1), pages 38-59.
    3. Hotaka Katahira, 1990. "Perceptual Mapping Using Ordered Logit Analysis," Marketing Science, INFORMS, vol. 9(1), pages 1-17.
    4. Jianan Wu & Wayne DeSarbo & Pu-Ju Chen & Yao-Yi Fu, 2006. "A latent structure factor analytic approach for customer satisfaction measurement," Marketing Letters, Springer, vol. 17(3), pages 221-238, July.
    5. Torres, Anna & Bijmolt, Tammo H.A., 2009. "Assessing brand image through communalities and asymmetries in brand-to-attribute and attribute-to-brand associations," European Journal of Operational Research, Elsevier, vol. 195(2), pages 628-640, June.
    6. Wayne DeSarbo & Vithala R. Rao, 1986. "A Constrained Unfolding Methodology for Product Positioning," Marketing Science, INFORMS, vol. 5(1), pages 1-19.
    7. Wayne S. Desarbo & Ajay K. Manrai, 1992. "A New Multidimensional Scaling Methodology for the Analysis of Asymmetric Proximity Data in Marketing Research," Marketing Science, INFORMS, vol. 11(1), pages 1-20.
    8. Sirkka L. Jarvenpaa, 1989. "The Effect of Task Demands and Graphical Format on Information Processing Strategies," Management Science, INFORMS, vol. 35(3), pages 285-303, March.
    9. Wayne S. DeSarbo & Alexandru M. Degeratu & Michel Wedel & M. Kim Saxton, 2001. "The Spatial Representation of Market Information," Marketing Science, INFORMS, vol. 20(4), pages 426-441, June.
    10. Eliashberg, Jehoshua & Manrai, Ajay K., 1992. "Optimal positioning of new product-concepts: Some analytical implications and empirical results," European Journal of Operational Research, Elsevier, vol. 63(3), pages 376-397, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Manrai, Ajay K., 1995. "Mathematical models of brand choice behavior," European Journal of Operational Research, Elsevier, vol. 82(1), pages 1-17, April.
    2. Chaturvedi, Anil & Carroll, J. D., 1998. "A perceptual mapping procedure for analysis of proximity data to determine common and unique product-market structures," European Journal of Operational Research, Elsevier, vol. 111(2), pages 268-284, December.
    3. Abe, Makoto, 1998. "Error structure and identification condition in maximum likelihood nonmetric multidimensional scaling," European Journal of Operational Research, Elsevier, vol. 111(2), pages 216-227, December.
    4. Ho, Ying & Chung, Yuho & Lau, Kin-nam, 2010. "Unfolding large-scale marketing data," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 119-132.
    5. Elrod, Terry & Keane, Michael, 1995. "A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data," MPRA Paper 52434, University Library of Munich, Germany.
    6. Cindy Moeckel, 1991. "Two factors affecting an auditor's ability to integrate audit evidence," Contemporary Accounting Research, John Wiley & Sons, vol. 8(1), pages 270-292, September.
    7. Nenycz-Thiel, Magda & Romaniuk, Jenni, 2011. "The nature and incidence of private label rejection," Australasian marketing journal, Elsevier, vol. 19(2), pages 93-99.
    8. Qin, Fei & Wu, Steven Y., 2022. "Estimating Consumer Segments and Choices from Limited Information: The Application of Machine Learning Methods," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322473, Agricultural and Applied Economics Association.
    9. O'Keefe, Robert M., 2016. "Experimental behavioural research in operational research: What we know and what we might come to know," European Journal of Operational Research, Elsevier, vol. 249(3), pages 899-907.
    10. Richards, Timothy J. & Patterson, Paul M., 1999. "The Impact Of Promotion And Advertising On Choice Of Fruit Category And Apple Variety: A Latent-Class Approach," 1999 Annual meeting, August 8-11, Nashville, TN 21627, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Butler, D. J., 2000. "Do non-expected utility choice patterns spring from hazy preferences? An experimental study of choice 'errors'," Journal of Economic Behavior & Organization, Elsevier, vol. 41(3), pages 277-297, March.
    12. Scheidler, Sabrina & Edinger-Schons, Laura Marie, 2020. "Partners in crime? The impact of consumers' culpability for corporate social irresponsibility on their boycott attitude," Journal of Business Research, Elsevier, vol. 109(C), pages 607-620.
    13. Monideepa Tarafdar & Sufian Qrunfleh, 2017. "Agile supply chain strategy and supply chain performance: complementary roles of supply chain practices and information systems capability for agility," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 925-938, February.
    14. Peter J. Danaher & Isaac W. Wilson & Robert A. Davis, 2003. "A Comparison of Online and Offline Consumer Brand Loyalty," Marketing Science, INFORMS, vol. 22(4), pages 461-476, February.
    15. Meulders, Michel, 2013. "An R Package for Probabilistic Latent Feature Analysis of Two-Way Two-Mode Frequencies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i14).
    16. Alegre, Joaquín & Mateo, Sara & Pou, Llorenç, 2011. "A latent class approach to tourists’ length of stay," Tourism Management, Elsevier, vol. 32(3), pages 555-563.
    17. Anderson, Simon P & de Palma, Andre, 1992. "Multiproduct Firms: A Nested Logit Approach," Journal of Industrial Economics, Wiley Blackwell, vol. 40(3), pages 261-276, September.
    18. Gázquez-Abad, Juan Carlos & Martínez-López, Francisco J., 2016. "Understanding the impact of store flyers on purchase behaviour: An empirical analysis in the context of Spanish households," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 263-273.
    19. Adrian Hillenbrand & André Schmelzer, 2015. "Beyond Information: Disclosure, Distracted Attention, and Investor Behavior," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2015_20, Max Planck Institute for Research on Collective Goods.
    20. Meissner, Jens O., 2005. "Relationship Quality in the Context of Computer-Mediated Communication - A social constructionist approach," Working papers 2005/15, Faculty of Business and Economics - University of Basel.

    More about this item

    Keywords

    biplot; correspondence analysis; multidimensional scaling; multiple correspondence analysis; perceptual map; principal component analysis;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ems:eureri:18462. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: RePub The email address of this maintainer does not seem to be valid anymore. Please ask RePub to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/erimanl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.