Analysis of Preferences for Telecommunication Services in Each Area

  • Tohru Ueda
  • Daisuke Satoh
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


A method of combining conjoint analysis and regression analysis is proposed in order to analyze not only individual consumer preferences, but also preference tendencies on an aggregate basis, for example, in various geographic areas. We apply this method to new telecommunication services.


Service Area Consumer Preference Conjoint Analysis Telecommunication Service Telephone Service 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Green, P.E. and Srinivasan, V. (1978): Conjoint Analysis in Consumer Research: Issues and Outlook, Journal of Consumer Research, 5. 103–123.CrossRefGoogle Scholar
  2. Green, P.E. and Srinivasan, V. (1990): Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice, Journal of Marketing, 54, 3–19.CrossRefGoogle Scholar
  3. Johnson, R.M. (1975): A Simple Method for Pairwise Monotone Regression, Psychometrika, 40, 2, 163–168.MATHCrossRefGoogle Scholar
  4. Kruskal, J.B. (1965): Analysis of Factorial Experiments by Estimating Monotone Transformations of the Data, Journal of the Royal Statistical Society, Series B, 27, 251–263.MathSciNetGoogle Scholar
  5. Luce, R.D. and Tukey, J.W. (1964): Simultaneous conjoint measurement: A new type of fundamental measurement, Journal of Mathematical Psychology, 1, 1–27.MATHCrossRefGoogle Scholar
  6. Ogawa, K. (1987): An Approach to Simultaneous Estimation and Segmentation in Conjoint Analysis. Marketing Science, 6, 1, 66–81.Google Scholar
  7. Satoh, D. and Ueda, T.: to be submitted.Google Scholar
  8. Srinivasan, V. and Shocker, A.D. (1973): Estimating the Weights for Multiple Attributes in a Composite Criterion Using Pairwise Judgments, Psychometrika, 38, 473–493.MathSciNetMATHCrossRefGoogle Scholar
  9. Ueda.. T. (1994): Analysis of Preferences for Services Based on Conjoint Analysis, Singaku rosa. J77-B-I, 9, 542–549, (in Japanese).Google Scholar
  10. Ueda, T. et al. (1995): A method of forecasting demand for new telecommunication services, 9th European. Meeting of the Psychometric Society, 123.Google Scholar
  11. Wittink, D. and Cattin, P. (1989): Commercial Use of Conjoint Analysis: An Update, Journal of Marketing, 53, 91–96.CrossRefGoogle Scholar
  12. Wittink, D. et al. (1994): Commercial Use of Conjoint in Europe: Results and Critical Reflections, International Journal of Research. in Marketing,11,41–52.Google Scholar

Copyright information

© Springer Japan 1998

Authors and Affiliations

  • Tohru Ueda
    • 1
  • Daisuke Satoh
    • 2
  1. 1.Seikei UniversityTokyo 180Japan
  2. 2.NTT Telecommunication Networks LaboratoriesTokyo 180Japan

Personalised recommendations