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Effects of End-Aisle Display and Flier on the Brand-Switching of Instant Coffee

  • Akinori Okada
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Summary

Brand-switching data among instant coffee brands were analyzed by a non-metric asymmetric multidimensional scaling (Okada and Imaizumi, 1987) to identify effects of the end-aisle display and of the flier. Two-dimensional solutions show that the end-aisle display of the brand is in general not effective to induce switching to the brand and is vulnerable against switching to other brands, and that for some brands the flier of the brand is effective to induce switching from similar brands to the brand and is defensive against switching to other brands, but that for some brands the flier is not effective to induce switching to the brand and is vulnerable against switching to similar brands.

Keywords

Multidimensional Scaling Nonmetric Multidimensional Scaling Instant Coffee Switching Matrix Brand Switching 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Chino. N. (1978): A Graphical Technique for Representing the Asymmetric Relationships between N Objects, Behaviormetrika. No. 5, 23–40.CrossRefGoogle Scholar
  2. Chino. N. (1990): A Generalized inner product model for the analysis of asymmetry, Behaviorrnetrika, No. 27, 25–46.CrossRefGoogle Scholar
  3. Collins, L.M. (1987): Deriving sociograms via asymmetric multidimensional scaling, In: Multidimensional Scaling: History, Theory, and Applications, Young, F.W. et al. (eds.), 179–196, Lawrence Erlbaum Associates, Hillsdale, NJ.Google Scholar
  4. DeSarbo. W.S., and De Soete, G. (1984): On the use of hierarchical clustering for the analysis of nonsymmetric proximities. Journal of Consumer Research, 11, 601–610.CrossRefGoogle Scholar
  5. DeSarbo, W.S. et al. (1992): TSCALE: A new multidimensional scaling procedure based on Tversky’s contrast model. Psychometrika. 57. 43–69.MATHCrossRefGoogle Scholar
  6. DeSarbo, W.S., and Maniai. A.K. (1992): A new multidimensional scaling methodology for the analysis of asymmetric proximity data in marketing research, Marketing Science, 11, 1–20.CrossRefGoogle Scholar
  7. Harshman, R.A. et al. (1982): A model for the analysis of asymmetric data in marketing research, Marketing Science, 1, 205–242.CrossRefGoogle Scholar
  8. Kruskal, J.B. (1964): Nonnretric multidimensional scaling: A numerical method, Psy- chornetrika, 29, 115–129.MathSciNetMATHGoogle Scholar
  9. Okada, A. (1988a): An analysis of intergenerational occupational mobility by asymmetric multidimensional scaling, In: The Many Faces of Multivariate Analysis: Proceedings of the SMABS-88 Conference Vol. 1, Jansen, M.G.H. et al. (eds.), 1–15, RION, Institute for Educational Research. University of Groningen, Groningen.Google Scholar
  10. Okada, A. (1988b): Asymmetric multidimensional scaling of car switching data. In: Data, Expert Knowledge and Decisions, Gaul, W. et al. (eds.), 279–290, Springer-Verlag, Berlin.CrossRefGoogle Scholar
  11. Okada, A. (1989). Asymmetric multidimensional scaling: Theory and application, The Japanese Journal of the Acoustical Society of Japan, 45, 131–137. (in Japanese)Google Scholar
  12. Okada, A., and Genji, K. (1995). Brand switching of instant coffee and the effect of end-aisle display, Communications of the Operations Research Society of Japan, 40, 448–501. (in Japanese)Google Scholar
  13. Okada, A., and Imaizumi. T. (1987): Nonmetric multidimensional scaling of asymmetric proximities, Behaviorm.etrika, No. 21, 81–96.CrossRefGoogle Scholar
  14. Weeks, D.G., and Bentler, P.M. (1982): Restricted multidimensional scaling models for asymmetric proximities, Psychometrika, 47. 201–208.CrossRefGoogle Scholar
  15. Zielman, B. (1991): Three-way scaling of Asymmetric Proximities (RR-91–01), Department of Data Theory, University of Leiden.Google Scholar
  16. Zielman, B., and Heiser, W.J. (1993): Analysis of asymmetry by a slide vector model, Psychornetrika, 58, 101–114.MATHCrossRefGoogle Scholar
  17. Zielman, B., and Heiser, W.J. (1996): Models for asymmetric proximities, British Journal of Mathematical and Statistical Psychology, 49, 127–146.MATHCrossRefGoogle Scholar

Copyright information

© Springer Japan 1998

Authors and Affiliations

  • Akinori Okada
    • 1
  1. 1.Department of Industrial Relations School of Social RelationsRikkyo (St. Paul’s) UniversityToshima-ku, Tokyo 171Japan

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