Skip to main content
  • 348 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References Basic Technical Readings

  • Amemiya, T. (1985), Advanced Econometrics, Cambridge, MS: Harvard University Press, [Chapter 9].

    Google Scholar 

  • Cattin, P., A. E. Gelfand and J. Danes (1983), “A Simple Bayesian Procedure for Estimation in a Conjoint Model,” Journal of Marketing Research, 20 (February), 29–35.

    Google Scholar 

  • Green, P. E. and V. R. Rao (1971), “Conjoint Measurement for Quantifying Judgmental Data,” Journal of Marketing Research, 8 (August), 355–363.

    Google Scholar 

  • Louviere, J. J. (1988), “Conjoint Analysis Modeling of Stated Preferences,” Journal of Transport Economics and Policy, 22, 1 (January), 93–119.

    Google Scholar 

  • McKelvey, R. D. and W. Zavoina (1975), “A Statistical Model for the Analysis of Ordinal Level Dependent Variables,” Journal of Mathematical Sociology, 4, 103–120.

    Article  MathSciNet  Google Scholar 

Application Readings

  • Beggs, S., S. Cardell and J. Hausman (1981), “Assessing The Potential Demand for Electric Cars,” Journal of Econometrics, 16, 1–19.

    Google Scholar 

  • Bowman, D. and H. Gatignon (1995), “Determinants of Competitor Response Time to a New Product Introduction,” Journal of Marketing Research, 32, 1 (February), 42–53.

    Google Scholar 

  • Bunch, D. S. and R. Smiley (1992), “Who Deters Entry? Evidence on the Use of Strategic Entry Deterrents,” The Review of Economics and Statistics, 74, 3 (August), 509–521.

    Google Scholar 

  • Chu, W. and E. Anderson (1992), “Capturing Ordinal Properties of Categorical Dependent Variables: A Review with Applications to Modes of Foreign Entry and Choice of Industrial Sales Force,” International Journal of Research in Marketing, 9, 149–160.

    Article  Google Scholar 

  • Green, P. E. (1984), “Hybrid Models for Conjoint Analysis: An Expository Review,” Journal of Marketing Research, 21 (May), 155–169.

    Google Scholar 

  • Green, P. E. and V. Srinivasan (1978), “Conjoint Analysis in Consumer Research: Issues and Outlook,” Journal of Consumer Research, 5 (September), 103–123.

    Google Scholar 

  • Green, P. E. and V. Srinivasan (1990), “Conjoint Analysis in Marketing: New Developments With Applications for Research and Practice,” Journal of Marketing, October, 3–19.

    Google Scholar 

  • Green, P. E. and Y. Wind (1975), “A New Way to Measure Consumers’ Judgements,” Harvard Business Review, July–August, 107–117.

    Google Scholar 

  • Green, P. E., A. M. Krieger and M. K. Agarwal (1991), “Adaptive Conjoint Analysis: Some Caveats and Suggestions,” Journal of Marketing Research, 28, May, 215–222.

    Google Scholar 

  • Jain, D. C., E. Muller, et al. (1999), “Pricing Patterns of Cellular Phones and Phonecalls: A Segment-Level Analysis,” Management Science 45, 2 (February), 131–141.

    Article  Google Scholar 

  • Mahajan, V., P. E. Green and S. M. Goldberg (1982), “A Conjoint Model for Measuring Self-and Cross-Price/Demand Relationships,” Journal of Marketing Research, 19 (August), 334–342.

    Google Scholar 

  • Page, A. L. and H. F. Rosenbaum (1987), “Redesigning Product Lines with Conjoint Analysis: How Sunbeam Does it,” Journal of Product Innovation Management, 4, 120–137.

    Article  Google Scholar 

  • Priem, R. L. (1992), “An Application of Metric Conjoint Analysis for the Evaluation of Top Managers’ Individual Strategic Decision Making Processes: A Research Note,” Strategic Management Journal, 13, 143–151.

    Google Scholar 

  • Rangaswami, A. and G. R. Shell (1997), “Using Computers to Realize Joint Gains in Negociations: Toward an “Electronic Bargaining Table”,” Management Science 43, 8 (August), 1147–1163.

    Google Scholar 

  • Srinivasan, V. and C. S. Park (1997), “Surprising Robustness of the Self-Explicated Approach to Customer Preference Structure Measurement”, Journal of Marketing Research, 34, 2 (May), 286–291.

    Google Scholar 

  • Wind, J., P. E. Green, D. Shifflet and M. Scarbrough (1989), “Courtyard by Marriott: Designing a Hotel Facility with Consumer-Based Marketing Models” Interfaces, 19 (January–February), 25–47.

    Google Scholar 

Download references

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Kluwer Academic Publishers

About this chapter

Cite this chapter

(2003). Rank Ordered Data. In: Statistical Analysis of Management Data. Springer, Boston, MA. https://doi.org/10.1007/0-306-48165-0_7

Download citation

  • DOI: https://doi.org/10.1007/0-306-48165-0_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4020-7315-1

  • Online ISBN: 978-0-306-48165-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics