Benefit-Based Conjoint Analysis

References

• Allenby GM, Ginter JL (1995) Using extremes to design products and segment markets. J. Marketing Res. 32(4):392–403.Crossref, Google Scholar
• Allenby GM, Brazell JD, Howell JR, Rossi PE (2014) Economic valuation of product features. Quant. Marketing Econom. 12(4):421–456.Crossref, Google Scholar
• Ansari A, Jedidi K, Dube L (2002) Heterogeneous factor analysis models: A Bayesian approach. Psychometrika 67(1):49–77.Crossref, Google Scholar
• Batra R, Lenk P, Wedel M (2010) Brand extension strategy planning: Empirical estimation of brand-category personality fit and atypicality. J. Marketing Res. 47(2):335–347.Crossref, Google Scholar
• Bhat CR (2008) The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions. Transportation Res. Part B: Methodological 42(3):274–303.Crossref, Google Scholar
• Calantone RJ, Sawyer AG (1978) The stability of benefit segments. J. Marketing Res. 15(3):395–404.Crossref, Google Scholar
• Day GS, Shocker AD, Srivastava RK (1979) Customer-oriented approaches to identifying product-markets. J. Marketing 43(4): 8–19.Crossref, Google Scholar
• Dixit AK, Stiglitz JE (1977) Monopolistic competition and optimum product diversity. Amer. Econom. Rev. 67(3):297–308.Google Scholar
• Dubois P, Griffith R, Nevo A (2014) Do prices and attributes explain international differences in food purchases? Amer. Econom. Rev. 104(3):832–867.Crossref, Google Scholar
• Gelfand AE, Dey DK (1994) Bayesian model choice: Asymptotics and exact calculations. J. Royal Statist. Soc. Ser. B (Methodological) 56(3):501–514.Google Scholar
• Green PE, Srinivasan V (1978) Conjoint analysis in consumer research: Issues and outlook. J. Consumer Res. 5(2):103–123.Crossref, Google Scholar
• Green PE, Srinivasan V (1990) Conjoint analysis in marketing: New developments with implications for research and practice. J. Marketing 54(4):3–19.Crossref, Google Scholar
• Haley RI (1968) Benefit segmentation: A decision-oriented research tool. J. Marketing 32(3):30–35.Crossref, Google Scholar
• Johnson EJ, Meyer RJ (1984) Compensatory choice models of noncompensatory processes: The effect of varying context. J. Consumer Res. 11(1):528–541.Crossref, Google Scholar
• Kim J, Allenby GM, Rossi PE (2002) Modeling consumer demand for variety. Marketing Sci. 21(3):229–250.Link, Google Scholar
• Kim J, Allenby GM, Rossi PE (2007) Product attributes and models of multiple discreteness. J. Econometrics 138(1):208–230.Crossref, Google Scholar
• Lamberton CP, Diehl K (2013) Retail choice architecture: The effects of benefit- and attribute-based assortment organization on consumer perceptions and choice. J. Consumer Res. 40(3):393–411.Crossref, Google Scholar
• Lancaster KJ (1966) A new approach to consumer theory. J. Political Econom. 74(2):132–157.Crossref, Google Scholar
• Lee S, Kim J, Allenby GM (2013) A direct utility model for asymmetric complements. Marketing Sci. 32(3):454–470.Link, Google Scholar
• Louviere JJ (1984) Hierarchical information integration: A new method for the design and analysis of complex multiattribute judgment problems. Adv. Consumer Res. 11(1):148–155.Google Scholar
• Michalek JJ, Feinberg FM, Papalambros PY (2005) Linking marketing and engineering product design decisions via analytical target cascading. J. Product Innovation Management 22(1):42–62.Crossref, Google Scholar
• Myers JH (1976) Benefit structure analysis: A new tool for product planning. J. Marketing 40(4):23–32.Crossref, Google Scholar
• Newton MA, Raftery AE (1994) Approximate Bayesian inference with the weighted likelihood bootstrap. J. Royal Statist. Soc. Ser. B (Methodological) 56(1):3–48.Google Scholar
• Oppewal H, Louviere JJ, Timmermans HJ (1994) Modeling hierarchical conjoint processes with integrated choice experiments. J. Marketing Res. 31(1):92–105.Crossref, Google Scholar
• Satomura T, Kim J, Allenby GM (2011) Multiple-constraint choice models with corner and interior solutions. Marketing Sci. 30(3): 481–490.Link, Google Scholar
• Schwartz G (1978) Estimating the dimension of a model. Annals Statist. 6(2):461–464.Crossref, Google Scholar
• Stephens M (2000) Dealing with label switching in mixture models. J. Royal Statist. Soc. Ser. B (Statist. Methodology) 62(4):795–809.Crossref, Google Scholar
• Tversky A, Kahneman D (1991) Loss aversion in riskless choice: A reference-dependent model. Quart. J. Econom. 106(4): 1039–1061.Crossref, Google Scholar
• Wedel M, Steenkamp JBE (1991) A clusterwise regression method for simultaneous fuzzy market structuring and benefit segmentation. J. Marketing Res. 28(4):385–396.Crossref, Google Scholar
• Wind Y (1973) A new procedure for concept evaluation. J. Marketing 37(4):2–11.Crossref, Google Scholar