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Beyond conjoint analysis: Advances in preference measurement

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Author Info

  • Oded Netzer

    ()

  • Olivier Toubia

    ()

  • Eric Bradlow

    ()

  • Ely Dahan

    ()

  • Theodoros Evgeniou

    ()

  • Fred Feinberg

    ()

  • Eleanor Feit

    ()

  • Sam Hui

    ()

  • Joseph Johnson

    ()

  • John Liechty

    ()

  • James Orlin

    ()

  • Vithala Rao

    ()

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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s11002-008-9046-1
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    Bibliographic Info

    Article provided by Springer in its journal Marketing Letters.

    Volume (Year): 19 (2008)
    Issue (Month): 3 (December)
    Pages: 337-354

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    Handle: RePEc:kap:mktlet:v:19:y:2008:i:3:p:337-354

    Contact details of provider:
    Web page: http://www.springerlink.com/link.asp?id=100312

    Related research

    Keywords: Preference measurement; Conjoint analysis; Marketing research;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Wilfred Amaldoss & Teck-Hua Ho & Aradhna Krishna & Kay-Yut Chen & Preyas Desai & Ganesh Iyer & Sanjay Jain & Noah Lim & John Morgan & Ryan Oprea & Joydeep Srivasatava, 2008. "Experiments on strategic choices and markets," Marketing Letters, Springer, vol. 19(3), pages 417-429, December.
    2. Rajeev Kohli & R. Sukumar, 1990. "Heuristics for Product-Line Design Using Conjoint Analysis," Management Science, INFORMS, vol. 36(12), pages 1464-1478, December.
    3. Ernst Fehr & Lorenz Gotte, 2002. "Do workers work more if wages are high? Evidence from a randomized field experiment," Natural Field Experiments 00240, The Field Experiments Website.
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    8. Michael Yee & Ely Dahan & John R. Hauser & James Orlin, 2007. "Greedoid-Based Noncompensatory Inference," Marketing Science, INFORMS, vol. 26(4), pages 532-549, 07-08.
    9. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    10. Richard D. McBride & Fred S. Zufryden, 1988. "An Integer Programming Approach to the Optimal Product Line Selection Problem," Marketing Science, INFORMS, vol. 7(2), pages 126-140.
    11. Toubia, Olivier & Hauser, John & Simester, Duncan, 2003. "Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis," Working papers 4285-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    12. Olivier Toubia & John Hauser & Rosanna Garcia, 2007. "Probabilistic Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis: Theory and Application," Marketing Science, INFORMS, vol. 26(5), pages 596-610, 09-10.
    13. Rajeev Kohli & Kamel Jedidi, 2007. "Representation and Inference of Lexicographic Preference Models and Their Variants," Marketing Science, INFORMS, vol. 26(3), pages 380-399, 05-06.
    14. Rinus Haaijer & Michel Wedel & Marco Vriens & Tom Wansbeek, 1998. "Utility Covariances and Context Effects in Conjoint MNP Models," Marketing Science, INFORMS, vol. 17(3), pages 236-252.
    15. Wiktor Adamowicz & David Bunch & Trudy Cameron & Benedict Dellaert & Michael Hanneman & Michael Keane & Jordan Louviere & Robert Meyer & Thomas Steenburgh & Joffre Swait, 2008. "Behavioral frontiers in choice modeling," Marketing Letters, Springer, vol. 19(3), pages 215-228, December.
    16. Arnaud De Bruyn & John C. Liechty & Eelko K. R. E. Huizingh & Gary L. Lilien, 2008. "Offering Online Recommendations with Minimum Customer Input Through Conjoint-Based Decision Aids," Marketing Science, INFORMS, vol. 27(3), pages 443-460, 05-06.
    17. Peter J. Lenk & Wayne S. DeSarbo & Paul E. Green & Martin R. Young, 1996. "Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs," Marketing Science, INFORMS, vol. 15(2), pages 173-191.
    18. Jin Gyo Kim & Ulrich Menzefricke & Fred M. Feinberg, 2007. "Capturing Flexible Heterogeneous Utility Curves: A Bayesian Spline Approach," Management Science, INFORMS, vol. 53(2), pages 340-354, February.
    19. Tversky, Amos & Kahneman, Daniel, 1992. " Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    20. Kim, Jin Gyo & Menzefricke, Ulrich & Feinberg, Fred M., 2005. "Modeling Parametric Evolution in a Random Utility Framework," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 282-294, July.
    21. Dan Horsky & Sanjog Misra & Paul Nelson, 2006. "Observed and Unobserved Preference Heterogeneity in Brand-Choice Models," Marketing Science, INFORMS, vol. 25(4), pages 322-335, 07-08.
    22. John Liechty & Rik Pieters & Michel Wedel, 2003. "Global and local covert visual attention: Evidence from a bayesian hidden markov model," Psychometrika, Springer, vol. 68(4), pages 519-541, December.
    23. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-91, March.
    24. John C. Liechty & Duncan K. H. Fong & Wayne S. DeSarbo, 2005. "Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis," Marketing Science, INFORMS, vol. 24(2), pages 285-293, November.
    25. Gregory Dobson & Shlomo Kalish, 1993. "Heuristics for Pricing and Positioning a Product-Line Using Conjoint and Cost Data," Management Science, INFORMS, vol. 39(2), pages 160-175, February.
    26. Theodoros Evgeniou & Massimiliano Pontil & Olivier Toubia, 2007. "A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation," Marketing Science, INFORMS, vol. 26(6), pages 805-818, 11-12.
    27. Mohamed Lachaab & Asim Ansari & Kamel Jedidi & Abdelwahed Trabelsi, 2006. "Modeling preference evolution in discrete choice models: A Bayesian state-space approach," Quantitative Marketing and Economics, Springer, vol. 4(1), pages 57-81, March.
    28. Han Bleichrodt & Jose Luis Pinto, 2000. "A Parameter-Free Elicitation of the Probability Weighting Function in Medical Decision Analysis," Management Science, INFORMS, vol. 46(11), pages 1485-1496, November.
    29. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-71, March.
    30. Rao, Vithala R & Steckel, Joel H, 1991. " A Polarization Model for Describing Group Preferences," Journal of Consumer Research, University of Chicago Press, vol. 18(1), pages 108-18, June.
    31. Tülin Erdem & Michael Keane & T. Öncü & Judi Strebel, 2005. "Learning About Computers: An Analysis of Information Search and Technology Choice," Quantitative Marketing and Economics, Springer, vol. 3(3), pages 207-247, September.
    32. V. Srinivasan & Allan Shocker, 1973. "Estimating the weights for multiple attributes in a composite criterion using pairwise judgments," Psychometrika, Springer, vol. 38(4), pages 473-493, December.
    33. Garrett Sonnier & Andrew Ainslie & Thomas Otter, 2007. "Heterogeneity distributions of willingness-to-pay in choice models," Quantitative Marketing and Economics, Springer, vol. 5(3), pages 313-331, September.
    34. Neeraj Arora & Xavier Dreze & Anindya Ghose & James Hess & Raghuram Iyengar & Bing Jing & Yogesh Joshi & V. Kumar & Nicholas Lurie & Scott Neslin & S. Sajeesh & Meng Su & Niladri Syam & Jacquelyn Thom, 2008. "Putting one-to-one marketing to work: Personalization, customization, and choice," Marketing Letters, Springer, vol. 19(3), pages 305-321, December.
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    Citations

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    Cited by:
    1. Wolfgang Gaul & Dominic Gastes, 2012. "A note on consistency improvements of AHP paired comparison data," Advances in Data Analysis and Classification, Springer, vol. 6(4), pages 289-302, December.
    2. Mercedes Esteban Bravo & Agata Leszkiewicz & José M. Vidal-Sanz, 2012. "Reconsidering optimal experimental design for conjoint analysis," Business Economics Working Papers wb121405, Universidad Carlos III, Departamento de Economía de la Empresa.
    3. Lüthi, Sonja & Prässler, Thomas, 2011. "Analyzing policy support instruments and regulatory risk factors for wind energy deployment--A developers' perspective," Energy Policy, Elsevier, vol. 39(9), pages 4876-4892, September.
    4. Qian, Li, 2011. "Product price and performance level in one market or two separated markets under various cost structures and functions," International Journal of Production Economics, Elsevier, vol. 131(2), pages 505-518, June.
    5. Terry Elrod & Gerald Häubl & Steven Tipps, 2012. "Parsimonious Structural Equation Models for Repeated Measures Data, with Application to the Study of Consumer Preferences," Psychometrika, Springer, vol. 77(2), pages 358-387, April.
    6. Peters, M. & Ketter, W., 2013. "Towards autonomous decision-making: A probabilistic model for learning multi-user preferences," ERIM Report Series Research in Management ERS-2013-007-LIS, 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 Uni.
    7. Lüthi, Sonja & Wüstenhagen, Rolf, 2012. "The price of policy risk — Empirical insights from choice experiments with European photovoltaic project developers," Energy Economics, Elsevier, vol. 34(4), pages 1001-1011.

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