A new multidimensional scaling routine is introduced which is particularly appropriate for monitoring and assessing the repositioning impact of a new advertisement campaign on its brand. The advantage of this scaling routine, called TRINODAL, is that it simultaneously plots brand images, ad images, and consumer preference on a single map. Empirical examples demonstrate the technique's usefulness in providing insight to repositioning processes.
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References
1.
CarrollJ. D. (1972), “Individual Differences and Multidimensional Scaling,” in Multidimensional Scaling Theory and Application in the Behavioral Sciences, Vol. 1, ShepardR. N., RommeyA. K., and NerloveS., eds. New York: Seminar Press, Inc.
2.
ChangJ. J. and CarrollJ. D. (1971), “How to Use PREFMAP and PREFMAP 2—Programs Which Relate Preference Data to Multidimensional Scaling Solution,” Bell Telephone Laboratories, Murray Hill, NJ.
3.
DeSarboW. and RaoV. (1983), “A Constrained Unfolding Model for Product Positioning and Market Segmentation,” paper presented at First Annual Marketing Science Conference, University of Southern California (March).
4.
GreenP. E., CarrollI. D., and GoldbergS. M. (1981), “A General Approach to Product Design Optimization via Conjoint Analysis,” Journal of Marketing, 45 (Summer), 17–37.
5.
GreenP. E., and DeSarboW. S. (1978), “Additive Decomposition of Perceptions’ Data Via Conjoint Analysis,” Journal of Consumer Research, 5 (June), 58–65.
6.
GreenP. E., and RaoV. R. (1972), “Applied Multidimensional Scaling: A Comparison of Approaches and Algorithms, New York: Holt, Rinehart and Winston.
7.
GreenP. E., and SrinivasanV. (1978), “Conjoint Analysis in Consumer Research: Issues and Outlook,” Journal of Consumer Research, 5 (September), 103–23.
8.
GreenP. E., WindY., and ClaycampH. J. (1975), “Brand-Features Congruence Mapping,” Journal of Marketing Research, 12 (August), 306–13.
9.
GreenP. E., WindY., and JainA. K. (1972), “A Note on Measurement of Social-Psychological Belief Systems,” Journal of Marketing Research, 9 (May) 204–8.
10.
HauserJ. R. and KopplemanF. S. (1979), “Alternate Perceptual Mapping Techniques: Relative Accuracy and Usefulness,” Journal of Marketing Research, 16 (November), 495–506.
11.
HauserJ. R. and ShuganS. M. (1980), “Intensity Measures of Consumer Preference,” Operations Research, 28 (March-April), 278–320.
12.
HauserJ. R. and SimmieP. (1981), “Profit Maximizing Perceptual Positions: An Integrated Theory for the Selection of Product Features and Price,” Management Science, 27 (January), 33–56.
13.
HauserJ. R. and UrbanG. (1977), “A Normative Methodology for Modeling Consumer Response to Innovations,” Operations Research, 25 (July-August), 579–619.
14.
HauserJ. R. and WisniewskiK. (1979), “Consumer Analysis for General Travel Destination,” Technical Report, Transportation Center, Northwestern University (March).
15.
HeelerR. M., WhippleT. W., and HustadT. P. (1977), “Maximum Likelihood Factor Analysis of Attitude Data,” Journal of Marketing Research, 14 (February), 42–51.
16.
HuberJ. and HolbrookM. B. (1979), “Using Attribute Ratings for Product Positioning: Some Distinctions Among Compositional Approaches,” Journal of Marketing Research, 16 (November), 507–15.
17.
JohnsonR. M. (1970), “Multiple Discriminate Analysis Application to Marketing Research,” Market Facts, Inc. (January).
18.
KeonJ. W. (1981), “CONFSCAL: A Joint Space Mapping Routine of Brands and Their Advertisements,” working paper, New York University Graduate School of Business.
19.
KruskalJ. B. and WishM. (1978), Multidimensional Scaling.Beverly Hills, CA: Sage Publications.
20.
LancasterK. (1966), “A New Approach to Consumer Theory,” Journal of Political Economy, 74 (April), 132–57.
21.
LancasterK. (1971), Consumer Demand: A New Approach.New York: Columbia University Press.
22.
McMahanH. W. (1971), “Brand Identification Grows with Clutter of :30 Spots,” Advertising Age, 42 (May 16), 53–4.
23.
MoinpourR., McCulloughJ. M., and MacLachlanD. L. (1976), “Time Changes in Perception: A Longitudinal Application of Multidimensional Scaling,” Journal of Marketing Research, 13 (August), 245–53.
24.
PessemierE. A. (1977), Product Management: Strategy and Organization.New York: Wiley/Hamilton, 234–41.
25.
ShockerA. D. and SrinivasanV. (1974), “A Consumer-Based Methodology for the Identification of New Product Ideas,” Management Science, 20 (February), 921–37.
26.
WilkieW. L. and PessemierE. A. (1973), “Issues in Marketing's Use of Multi-Attribute Models,” Journal of Marketing Research, 10 (November), 428–41.