The Strategic Implications of Scale in Choice-Based Conjoint Analysis
Published Online:14 Nov 2019https://doi.org/10.1287/mksc.2019.1178
References
- (2013) Price competition under mixed multinomial logit demand functions. Management Sci. 59(8):1817–1835.Link, Google Scholar
- (2014) Economic valuation of product features. Quant. Marketing Econom. 12(4):421–456.Crossref, Google Scholar
- (1999) Discrete Choice Theory of Product Differentiation (MIT Press, Cambridge, MA).Google Scholar
- (1974) The theory of stochastic preference and brand switching. J. Marketing Res. 11(1):1–20.Crossref, Google Scholar
- (1993) Consistently inconsistent: The role of certainty, acceptability and scale in choice. Transportation Res. Part E: Logist. Transportation Rev. 56(September):81–93.Crossref, Google Scholar
- (2013) The role of conjoint surveys in reasonable royalty cases. Law360 (October 16), https://www.law360.com/articles/475390/the-role-of-conjoint-surveys-in-reasonable-royalty-cases.Google Scholar
- (1991) Aggregation and imperfect competition: On the existence of equilibrium. Econometrica 59(1):25–59.Crossref, Google Scholar
- (1994) A conjoint simulation model incorporating short-run price competition. J. Product Innovation Management 11(5):451–459.Crossref, Google Scholar
- (1990) Product positioning under price competition. Management Sci. 36(2):175–199.Link, Google Scholar
- (2002) The virtual customer. J. Product Innovation Management 19(5):332–354.Crossref, Google Scholar
- (2000) The predictive power of Internet-based product concept testing using visual depiction and animation. J. Product Innovation Management 17(2):99–109.Crossref, Google Scholar
- (1987) On existence of location equilibria in the 3-firm Hotelling problem. J. Indust. Econom. 36(2):245–252.Crossref, Google Scholar
- (1985) The principle of minimum differentiation holds under sufficient heterogeneity. Econometrica 53(4):767–781.Crossref, Google Scholar
- (2007) An incentive-aligned mechanism for conjoint analysis. J. Marketing Res. 54(May):214–223.Crossref, Google Scholar
- (2005) Incentive-aligned conjoint analysis. J. Marketing Res. 42(February):67–82.Crossref, Google Scholar
- (2011) Unstructured direct elicitation of decision rules. J. Marketing Res. 48(February):116–127.Crossref, Google Scholar
- (2019) Accounting for discrepancies between online and offline shopping behavior. Marketing Sci. 38(1):88–106.Google Scholar
- (1986) Minimal and maximal product differentiation in Hotelling’s duopoly. Econom. Lett. 21(1):67–71.Crossref, Google Scholar
- (2005) Generalized robust conjoint estimation. Marketing Sci. 24(3):415–429.Link, Google Scholar
- (2010) The generalized multinomial logit model: Accounting for scale and coefficient heterogeneity. Marketing Sci. 29(3):393–421.Link, Google Scholar
- (2008) Market share constraints and the loss function in choice-based conjoint analysis. Marketing Sci. 27(6):995–1011.Link, Google Scholar
- (1978) Testing the accuracy, usefulness, and significance of probabilistic models: An information theoretic approach. Oper. Res. 26(3):406–421.Link, Google Scholar
- (1929) Stability in competition. Econom. J. 39(153):41–57.Google Scholar
- (1999) Dealing with product similarity in conjoint simulations. Sawtooth Software: Research Paper Series, https://www.sawtoothsoftware.com/download/techpap/prodsim.pdf.Google Scholar
- (1998) Competition in multi-characteristics spaces: Hotelling was almost right. J. Econom. Theory 78(1):76–102.Crossref, Google Scholar
- (1976) Decisions with Multiple Objectives: Preferences and Value Tradeoffs (John Wiley & Sons, New York).Google Scholar
- (2012) Order granting in part and denying in part motions to exclude certain expert opinions: Public redacted version. Apple, Inc. v. Samsung Elecs. Co., Case No. 12-CV-00630-LHK (N.D. Cal. Feb. 25, 2014).Google Scholar
- (2007) New product development under channel acceptance. Marketing Sci. 26(2):149–163.Link, Google Scholar
- (1977) The structure of random utility models. Theory Decision 8(3):229–254.Crossref, Google Scholar
- (2014) Testimony of Daniel L. McFadden in the matter of determination of rates and terms for digital performance in sound recordings and ephemeral recordings (WEB IV). Before the Copyright Royalty Board Library of Congress, Washington DC, Docket No. 14-CRB-0001-WR, October 6. Google Scholar
- (2016) How many options? behavioral responses to two vs. five alternatives per choice. Proc. Sawtooth Software Conf.: September 2016 (Sawtooth Software, Park City, UT), 19–36.Google Scholar
- (2012) Apple wins $1 billion victory over Samsung. San Jose Mercury News (August 24), https://www.mercurynews.com/2012/08/24/2012-apple-wins-1-billion-victory-over-samsung/.Google Scholar
- (1988) Product and price competition in a duopoly. Marketing Sci. 7(2):141–168.Link, Google Scholar
- (2002) How much does the market value an improvement in a product attribute? Marketing Sci. 21(4):398–411.Link, Google Scholar
- (2014) Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research, 3rd ed. (Research Publishers LLC, Manhattan Beach, CA).Google Scholar
- (2017) Personal email to the authors, July 25, 2017.Google Scholar
- (2017) Becoming an Expert in Conjoint Analysis: Choice Modelling for Pros (Sawtooth Software, Orem, UT).Google Scholar
- (2016) Investigating the impact of customer stochasticity on firm price discrimination strategies using a new Bayesian mixture scale heterogeneity model. Marketing Lett. 27(3):537–552.Crossref, Google Scholar
- (2017) Here’s how popular Apple Watch was last quarter. Fortune (February 8), http://fortune.com/2017/02/08/apple-watch-2016-sales/.Google Scholar
- (1992) Restoring the principle of minimum differentiation in product positioning. J. Econom. Management Strategy 1(3):475–505.Crossref, Google Scholar
- (2010) Alleviating the constant stochastic variance assumption in decision research: Theory, measurement, and experimental test. Marketing Sci. 29(1):1–17.Link, Google Scholar
- Sawtooth Software (2015) Report on conjoint analysis usage among Sawtooth Software customers. Accessed May 9, 2019, http://www.sawtoothsoftware.com/download/Conjoint_Report_2015.pdf.Google Scholar
- Sawtooth Software (2016) Results of Sawtooth Software user survey. Accessed May 9, 2019, https://www.sawtoothsoftware.com/about-us/news-and-events/news/1693-results-of-2016-sawtooth-software-user-survey.Google Scholar
- Sawtooth Software (2019) Randomized first choice settings. Accessed May 9, 2019, https://www.sawtoothsoftware.com/help/lighthouse-studio/manual/randomizedfirstchoicesettingswindow.html.Google Scholar
- (2007) Heterogeneity distributions of willingness-to-pay in choice models. Quant. Marketing Econom. 5(3):313–331.Crossref, Google Scholar
- (1993) The role of the scale parameter in the estimation and comparison of multinomial logit models. J. Marketing Res. 30(3):305–314.Crossref, Google Scholar
- (1927) A law of comparative judgment. Psych. Rev. 34(4):273–286.Crossref, Google Scholar
- (2004), Polyhedral methods for adaptive choice-based conjoint analysis, J. Marketing Res. 41(1): 116–131.Google Scholar
- (2009) Discrete Choice Methods with Simulation (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
- (2004) Product Design and Development, 3rd ed. (McGraw-Hill, New York).Google Scholar
- (1993) Design and Marketing of New Products, 2nd ed. (Prentice-Hall, Englewood Cliffs, NJ).Google Scholar
- (2004) “Listening-in” to find and explore new combinations of customer needs. J. Marketing 68(April):72–87.Crossref, Google Scholar
- (1998) Verbal vs. realistic pictorial representations in conjoint analysis with design attributes. J. Product Innovation Management 15(5):455–467.Crossref, Google Scholar
- (2005) Order granting in part and denying in part Olin’s motion to exclude the testimony of John Kilpatrick. Palmisano et al. v. Olin Corporation et al., Case No. C-03-01607 RMW (N.D. Cal. July 5, 2005).Google Scholar
- (2016) Predicting new service adoption with conjoint analysis: External validity of BDM-based incentive-aligned and dual-response choice designs. Marketing Lett. 27(1):195–210.Crossref, Google Scholar

