Augmenting Conjoint Analysis to Estimate Consumer Reservation Price

References

• Addelman Sidney. Orthogonal main-effect plans for asymmetrical factorial experiments. Technometrics. (1962) 4(February):21–46Crossref, Google Scholar
• Anderson J. C., Jain Dipak, Pradeep K. Chintagunta. Understanding customer value in business markets: Methods of customer value assessment. J. Bus.-to-Bus. Marketing (1993) 1(1):3–30Crossref, Google Scholar
• Desarbo Wayne S., Venkatram Ramaswamy, Steven H. Cohen. Market segmentation with choice-based conjoint analysis. Marketing Lett. (1995) 6(2):137–147Crossref, Google Scholar
• Dolan Robert J., Hermann Simon. Power Pricing (1996) (The Free Press, New York) Google Scholar
• Green Paul E., Srinivasan V. Conjoint analysis in marketing research: New developments and directions. J. Marketing (1990) 54:3–19Crossref, Google Scholar
• Green Yoram Wind. New way to measure consumers' judgments. Harvard Bus. Rev. (1975) 53(July-August):107–117Google Scholar
• Jedidi Kamel, Rajeev Kohli, Wayne S. Desarbo. Consideration sets in conjoint analysis. J. Marketing Res. (1996) 33(August):364–372Crossref, Google Scholar
• Jedidi Sharan Jagpal, Puneet Manchanda. Measuring heterogeneous reservation prices for product bundles. Marketing Sci. (2002) . ForthcomingGoogle Scholar
• Kalish Shlomo, Paul Nelson. A comparison of ranking, rating and reservation price measure in conjoint analysis. Marketing Lett. (1991) 2(4):327–335Crossref, Google Scholar
• Kohli Rajeev, Vijay Mahajan. A reservation-price model for optimal pricing of multiattribute products in conjoint analysis. J. Marketing Res. (1991) 28(August):347–354Crossref, Google Scholar
• Lehmann Donald R., Sunil Gupta, Joel H. Steckel. Marketing Research (1997) (Addison-Wesley, New York) 540–564Google Scholar
• Louviere Jordan J., George Woodworth. Design and analysis of simulated consumer choice or allocation experiments: An approach based on aggregate data. J. Marketing Res (1983) 20:350–367Crossref, Google Scholar
• Mahajan Vijay, Paul E. Green, Stephen M. Goldberg. A conjoint model for measuring self- and cross-price/demand relationships. J. Marketing Res (1982) 19(August):334–342Crossref, Google Scholar
• Malhotra Naresh K. An approach to the measurement of consumer preferences using limited information. J. Marketing Res (1986) 23:33–40Crossref, Google Scholar
• Mason Charlotte H. New product entries and product class demand. Marketing Sci (1990) 9(Winter):58–73Link, Google Scholar
• Monroe Kent B.Pricing: Making Profitable Decisions (1990) 2nd ed.(McGraw-Hill, New York) Google Scholar
• Page Albert L., Harold F. Rosenbaum. Redesigning product lines with conjoint analysis: How Sunbeam does it. J. Product Innovation Management (1987) 4:120–137Crossref, Google Scholar
• Shaffer G., Zhang Z. John. Competitive coupon targeting. Marketing Sci (1995) 14:395–416Link, Google Scholar
• Shaffer G., Zhang Z. John. Pay to switch or pay not to switch: Third degree price discrimination in markets with switching costs. J. Econom. and Management Strategy (2000) . forthcomingCrossref, Google Scholar
• Varian Hal R.Microeconomic Analysis (1992) 3rd ed.(W.W. Norton & Company, New York) Google Scholar
• Wittink Dick R., Philippe Cattin. Commercial use of conjoint analysis: An update. J. Marketing (1989) 53(July):91–96Crossref, Google Scholar
• Wittink Dick R., Bergestuen Trond, Armstrong J. Scott. Forecasting with conjoint analysis. Principles of Forecasting: A Handbook for Researchers and Practitioners (1999) (Kluwer Academic Publishers, Norwell, MA) Google Scholar