Modeling Variation in Brand Preference: The Roles of Objective Environment and Motivating Conditions

Published Online:https://doi.org/10.1287/mksc.21.1.14.159

References

  • Allenby G. M., Ginter J. L. Using extremes to design products and segment markets. J. Marketing Res. (1995) 32:392–403CrossrefGoogle Scholar
  • Allenby G. M., Lenk P. Modeling household purchase behavior with logistic normal regressions. J. Amer. Statist. Assoc. (1994) 89(1Google Scholar
  • Allenby G. M., Rossi P. E. Marketing models of household heterogeneity. J. Econometrics (1999) 89:57–78CrossrefGoogle Scholar
  • Anderson D. A., Wiley J. B. Efficient choice set designs for estimating availability cross-effects models. Marketing Lett. (1992) 3(4):357–70CrossrefGoogle Scholar
  • Belk R. W. Situational variables and consumer behavior. J. Consumer Res. (1975) 2:157–167CrossrefGoogle Scholar
  • Ben-Akiva M., McFadden D., Garling T., Gopinath D., Bolduc D., Borsch-Supan A. L., Delquie P., Larichev O., Morikawa T., Polydoropoulou A., Rao V. Extended framework for modeling choice behavior. Marketing Lett. (1999) 10:187–204CrossrefGoogle Scholar
  • Chapman R. G., Staelin R. Exploiting rank ordered choice set data within the stochastic utility model. J. Marketing Res. (1982) 19:288–301CrossrefGoogle Scholar
  • Chib S., Greenberg E. Understanding the Metropolis-Hastings algorithm. Amer. Statist. (1995) 49:327–335Google Scholar
  • Dickson P. Person-situation: Segmentation's missing link. J. Marketing (1982) 46:38–47CrossrefGoogle Scholar
  • Erdem T. Dynamic analysis of market structure based on panel data. Marketing Sci. (1996) 15(4):203–38LinkGoogle Scholar
  • Fennell G. Consumer's perception of the product use situation. J. Marketing (1978) 42:38–47CrossrefGoogle Scholar
  • Fennell G. The unit to be classified: Persons v. behaviors. Consumer Classification: A Need to Rethink (1982) (ESOMAR, Brugge, Belgium) Google Scholar
  • Fennell G., Alwitt L. Action as counterchange: Identifying antecedents of the domain and goal of action. Proceedings 95th Annual Convention of the American Psychological Association (1988) (American Psychological Association, Washington, DC) Google Scholar
  • Fennell G., Kahle L., Chiagouris L. Value and values: Relevance to advertising. Values, Lifestyles, and Psychographics (1997) (Erlbaum, Hillsdale, NJ) Google Scholar
  • Gelfand A. E., Smith A. F. M. Sampling-based approaches to calculating marginal densities. J. Amer. Statist. Assoc. (1990) 85:398–409CrossrefGoogle Scholar
  • Gelfand A. E., Hills S. E., Racine-Poor A., Smith A. F. M. Illustration of Bayesian inference in normal data models using Gibbs sampling. J. Amer. Statist. Assoc. (1990) 85:972–985CrossrefGoogle Scholar
  • Greene W.H.Econometric Analysis (1990) (MacMillan, New York) Google Scholar
  • Haaijer R., Wedel M., Vriens M., Wansbeek T. Utility covariances and context effects in conjoint MNP models. Marketing Sci. (1998) 17:236–252LinkGoogle Scholar
  • Howard John A., Sheth Jagdish N.The Theory of Buyer Behavior (1969) (John Wiley and Sons, New York) Google Scholar
  • Kahn B. E., Kalwani M., Morrison D. Measuring variety-seeking and reinforcement behaviors using panel data. J. Marketing Res. (1986) 23(May):89–100CrossrefGoogle Scholar
  • Kamakura W. A., Russell G. J. A probabilistic choice model for marketing segmentation and elasticity structure. J. Marketing Res. (1989) 26:379–390CrossrefGoogle Scholar
  • Lazari G. A., Anderson D. A. Designs of discrete choice set experiments for estimating both attribute and availability cross effects. J. Marketing Res. (1994) 31:375–383CrossrefGoogle Scholar
  • McAlister Leigh. A dynamic attribute satiation model of variety- seeking behavior. J. Consumer Res. (1982) 9(September):141–151CrossrefGoogle Scholar
  • McAlister Leigh, Pessemier Edgar. Variety seeking behavior: An interdisciplinary review. J. Consumer Res. (1982) 9(December):311–322CrossrefGoogle Scholar
  • McCulloch R., Rossi P. E. An exact likelihood analysis of the multinomial probit model. J. Econometrics (1994) 64:207–240CrossrefGoogle Scholar
  • McFadden D. The choice theory approach to market research. Marketing Sci. (1986) 5:275–297LinkGoogle Scholar
  • Miller K. E., Ginter J. L. An investigation of situational variation in brand choice behavior. J. Marketing Res. (1979) 16:111–123CrossrefGoogle Scholar
  • Newton M. A., Raftery A. E. Approximating Bayesian inference with the weighted likelihood bootstrap. J. Roy. Statist. Soc.(B). (1994) 56:3–48Google Scholar
  • Ophem H. V., Stam P., Praag B. V. Multichoice logit: Modeling incomplete preference rankings of classical concerts. J. Bus. Econom. Statist. (1999) 17:117–128CrossrefGoogle Scholar
  • Ratneshwar S., Shocker A. Substitution in use and the role of usage context in product. J. Marketing Res. (1991) 28:281–295CrossrefGoogle Scholar
  • Rossi P. E., McCulloch R. E., Allenby G. M. The value of purchase history data in target marketing. Marketing Sci. (1996) 15:321–340LinkGoogle Scholar
  • Smith W. Product differentiation and market segmentation as alternative marketing strategies. J. Marketing (1956) 21:3–8CrossrefGoogle Scholar
  • Yang S., Allenby G. M. A model for observation, structural, and household heterogeneity in panel data. Marketing Lett. (2000) 11(2):137–149CrossrefGoogle Scholar
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