Noncompensatory Dyadic Choices

References

• Alba J. W., Hutchinson J. W. Dimensions of consumer expertise. J. Consumer Res. (1987) 13(4):411–454Crossref, Google Scholar
• Albin C. The role of fairness in negotiation. Negotiation J. (1993) 9(3):223–244Crossref, Google Scholar
• Aribarg A., Arora N., Bodur H. O. Understanding the role of preference revision and concession in group decisions. J. Marketing Res. (2002) 39(3):336–349Crossref, Google Scholar
• Aribarg A., Arora N., Kang M. Y. Predicting joint choice using individual data. Marketing Sci. (2010) 29(1):139–157Link, Google Scholar
• Arora N., Allenby G. M. Measuring the influence of individual preference structures in group decision making. J. Marketing Res. (1999) 36(4):476–487Crossref, Google Scholar
• Bettman J. R.An Information Processing Theory of Consumer Choice (1979) (Addison-Wesley, Reading, MA) Google Scholar
• Bettman J. R., Park C. W. Effects of prior knowledge and experience and phase of the choice process on consumer decision processes: A protocol analysis. J. Consumer Res. (1980) 7(3):234–248Crossref, Google Scholar
• Chernev A. When more is less and less is more: The role of ideal point availability and assortment in consumer choice. J. Consumer Res. (2003) 30(2):170–183Crossref, Google Scholar
• Corfman K. P., Lehmann D. R. Models of cooperative group decision-making and relative influence: An experimental investigation of family purchase decisions. J. Consumer Res. (1987) 14(1):1–13Crossref, Google Scholar
• Corfman K. P., Lehmann D. R. The importance of others' welfare in evaluating bargaining outcomes. J. Consumer Res. (1993) 20(1):124–137Crossref, Google Scholar
• Curry D. J., Menasco M. B., Van Ark J. W. Multiattribute dyadic choice: Models and tests. J. Marketing Res. (1991) 28(3):259–267Crossref, Google Scholar
• Davis H. L. Dimensions of marital roles in consumer decision making. J. Marketing Res. (1970) 7(2):168–177Crossref, Google Scholar
• Deutsch M. Equity, equality, and need: What determines which value will be used as the basis of distributive justice? J. Soc. Issues (1975) 31(3):137–149Crossref, Google Scholar
• Dhar R. Consumer preference for a no-choice option. J. Consumer Res. (1997) 24(2):215–231Crossref, Google Scholar
• Elrod T., Johnson R. D., White J. A new integrated model of noncompensatory and compensatory decision strategies. Organ. Behav. Human Decision Processes (2004) 95(1):1–19Crossref, Google Scholar
• Gilbride T. J., Allenby G. M. A choice model with conjunctive, disjunctive, and compensatory screening rules. Marketing Sci. (2004) 23(3):391–406Link, Google Scholar
• Gilbride T. J., Allenby G. M. Estimating heterogeneous EBA and economic screening rule choice models. Marketing Sci. (2006) 25(5):494–509Link, Google Scholar
• Gourville J. T., Soman D. Overchoice and assortment type: When and why variety backfires. Marketing Sci. (2005) 24(3):382–395Link, Google Scholar
• Gupta S., Kohli R. Designing products and services for consumer welfare: Theoretical and empirical issues. Marketing Sci. (1990) 9(3):230–246Link, Google Scholar
• Harsanyi J. C. Cardinal welfare, individualistic ethics, and interpersonal comparison of utility. J. Political Econom. (1955) 63(4):309–321Crossref, Google Scholar
• Hartmann W. R. Demand estimation with social interactions and the implications for targeted marketing. Marketing Sci. (2010) 29(4):585–601Link, Google Scholar
• Horsky D., Misra S., Nelson P. Observed and unobserved preference heterogeneity in brand-choice models. Marketing Sci. (2006) 25(4):322–335Link, Google Scholar
• Inman J. J., Dyer J. S., Jia J. A generalized utility model of disappointment and regret effects on post-choice valuation. Marketing Sci. (1997) 16(2):97–111Link, Google Scholar
• Iyengar S. S., Lepper M. R. When choice is demotivating: Can one desire too much of a good thing? J. Personality Soc. Psych. (2000) 79(6):995–1006Crossref, Google Scholar
• Jedidi K., Kohli R. Probabilistic subset-conjunctive models for heterogeneous consumers. J. Marketing Res. (2005) 42(4):483–494Crossref, Google Scholar
• Johnson E. J., Russo J. E. Product familiarity and learning new information. J. Consumer Res. (1984) 11(1):542–550Crossref, Google Scholar
• Keller K. L., Staelin R. Effects of quality and quantity of information on decision effectiveness. J. Consumer Res. (1987) 14(2):200–213Crossref, Google Scholar
• Kuksov D., Villas-Boas J. M. When more alternatives lead to less choice. Marketing Sci. (2010) 29(3):507–524Link, Google Scholar
• Lawton C. The war on returns. Wall Street Journal (2008) May 8):D1Google Scholar
• McFadden D., Zarembka P. Conditional logit analysis of qualitative choice behaviour. Frontiers in Econometrics (1974) (Academic Press, New York) 105–142Google Scholar
• Meijer E., Rouwendal J. Measuring welfare effects in models with random coefficients. J. Appl. Econom. (2006) 21(2):227–244Crossref, Google Scholar
• Menasco M. B., Curry D. J. Utility and choice: An empirical study of wife/husband decision making. J. Consumer Res. (1989) 16(1):87–97Crossref, Google Scholar
• Myers D. G., Lamm H. The group polarization phenomenon. Psych. Bull. (1976) 83(4):602–627Crossref, Google Scholar
• Newton M. A., Raftery A. E. Approximate Bayesian inference with the weighted likelihood bootstrap. J. Royal Statist. Soc. Ser. B (1994) 56(1):3–48Google Scholar
• Rao V. R., Steckel J. H. A polarization model for describing group preferences. J. Consumer Res. (1991) 18(1):108–118Crossref, Google Scholar
• Schwartz B.The Paradox of Choice: Why More Is Less (2004) (HarperCollins, New York) Google Scholar
• Spiegelhalter D. J., Best N. G., Carlin B. P., Van Der Linde A. Bayesian measures of model complexity and fit. J. Royal Statist. Soc. Ser. B (2002) 64(4):583–639Crossref, Google Scholar
• Srinivasan V., Park C. S. Surprising robustness of the self-explicated approach to customer preference structure measurement. J. Marketing Res. (1997) 34(2):286–291Crossref, Google Scholar
• Wong T. Generalized Dirichlet distribution in Bayesian analysis. Appl. Math. Comput. (1998) 97:165–181Crossref, Google Scholar
• Yee M., Dahan E., Hauser J. R., Orlin J. Greedoid-based noncompensatory inference. Marketing Sci. (2007) 26(4):532–549Link, Google Scholar