A Discussion on Nonlinear Models for Price Decisions in Rating-Based Product Preference Models

References

• Akaike , H. ( 1973 ). Information theory and an extension of the maximum likelihood principle . In: Petrov , B. N. , Czaki , F. eds. Second International Symposium on Information Theory . Budapest : Akad, Kiadò , pp. 267 – 281 .
   Google Scholar
• Arboretti Giancristofaro , R. , Brignoli , A. , Corain , L. , Masotto , N. , Salmaso , L. , Tempesta , T. , Tomasi , D. ( 2008 ). Importance of landscape in wine quality perception: A pilot study . Abstracts of Enometrics XV Conference . France : Collioure May 29th–31st , p. 38 .
   Google Scholar
• Bradlow , E. T. ( 2005 ). Current issues and a ‘wish list’ for conjoint analysis . Applied Stochastic Models in Business and Industry 21 : 319 – 323 .
   Web of Science ®Google Scholar
• Burnham , K. P. , Anderson , D. R. ( 2002 ). Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. , 2nd ed. New York : Springer-Verlag .
   Google Scholar
• Cohen , S. H. ( 2003 ). Maximum difference scaling: improved measures of importance and preference for segmentation . In: Proceedings of Sawtooth Software Conference . San Antonio , TX .
   Google Scholar
• Cooper , R. G. , Wootton , A. , Bruce , M. (1999). Requirements capture as process of technology-market integration. International Journal of Technology Management 17(6):582–596.
   Web of Science ®Google Scholar
• de Boor , C. ( 1963 ). Best approximation properties of spline functions of odd degree . Journal of Mathematics and Mechanics 12 : 747 – 749 .
   Web of Science ®Google Scholar
• DeSarbo , W. S. , Jedidi , K. , Sinha , I. ( 2001 ). Customer value analysis in a heterogeneous market . Strategic Management Journal 22 ( 9 ): 845 – 857 .
   Web of Science ®Google Scholar
• Eubank , R. L. ( 1999 ). Nonparametric Regression and Spline Smoothing. , 2nd ed. . Statistics: Textbooks and Monographs , New York : Marcel Dekker , p. 157 .
   Google Scholar
• Gautschi , D. A. , Rao , V. R. ( 1990 ). A methodology for specification and aggregation in product concept testing . In: deFontenay , A. , Shugard , H. , Sibley , D. S. eds. Telecommunications Demand Modeling . Amsterdam : North Holland , pp. 37 – 63 .
   Google Scholar
• Green , P. E. ( 2001 ). Foreword . In: Gustafsson , A. , Herrmann , A. , Huber , F. eds. Conjoint Measurement: Methods and Applications . Berlin : Springer .
   Google Scholar
• Green , P. E. , Krieger , A. M. , Wind , Y. ( 2001 ). Thirty years of conjoint analysis: reflections and prospects . Interfaces 31 ( 3 ): S56 – S73 .
   Web of Science ®Google Scholar
• Gustafsson , A. , Herrmann , A. , Huber , F. ( 2001 ). Conjoint analysis as an instrument of market research practice . In: Gustafsson , A. , Herrmann , A. , Huber , F. eds. Conjoint Measurement: Methods and Applications . Berlin : Springer .
   Google Scholar
• Hauser , J. R. , Rao , V. R. ( 2002 ). Conjoint analysis, related modeling, and applications . In: Advances in Marketing Research: Progress and Prospects . (A Tribute to Paul Green's Contributions to Marketing Research Methodology) .
   Google Scholar
• Jedidi , K. , Zhang , Z. J. ( 2002 ). Augmenting conjoint analysis to estimate consumer reservation price . Management Science 48 ( 10 ): 1350 – 1368 .
   Web of Science ®Google Scholar
• Karlin , S. , Studden , W. J. ( 1966 ). Tchebycheff Systems: With Applications in Analysis and Statistics . New York : Interscience .
   Google Scholar
• Kohli , R. , Mahajan , V. ( 1991 ). A reservation-price model for optimal pricing of multiattribute products in conjoint analysis . Journal of Marketing Research 28 : 347 – 354 .
   Web of Science ®Google Scholar
• Luce , R. D. , Tukey , J. W. ( 1964 ). Simultaneous conjoint measurement: a new type of fundamental measurement . Journal of Mathematical Psychology 1 : 1 – 27 .
   Web of Science ®Google Scholar
• Myers , J. H. ( 1996 ). Segmentation and Positioning for Strategic Marketing Decisions . Chicago : American Marketing Association .
   Google Scholar
• McFadden , D. ( 1986 ). The choice theory approach to marketing research . Marketing Science 5 : 275 – 297 .
   Google Scholar
• Pesarin , F. ( 2001 ). Multivariate Permutation Tests: With Applications in Biostatistics . Chichester : Wiley .
   Google Scholar
• Rao , V. R. , Sattler , H. ( 2001 ). Measurement of price effects with conjoint analysis: separating informational and allocative effects of price . In: Gustafsson , A. , Herrmann , A. , Huber , F. eds. Conjoint Measurement: Methods and Applications . Berlin : Springer .
   Google Scholar
• Schwarz , G. ( 1978 ). Estimating the dimension of a model . Annals of Statistics 6 : 461 – 464 .
   Web of Science ®Google Scholar
• Tellis , G. J. ( 1988 ). The price elasticity of selective demand: a meta-analysis of econometric models of sales . Journal of Marketing Research 25 : 91 – 96 .
   Google Scholar
• Wedel , M. , Desarbo , W. S. ( 2002 ). Market segment derivation and profiling via a finite mixture model framework . Marketing Letters 13 ( 1 ): 17 – 25 .
   Web of Science ®Google Scholar
• Wittink , D. R. , Cattin , P. ( 1989 ). Commercial use of conjoint analysis: An update . Journal of Marketing 53 ( 3 ): 91 – 96 .
   Web of Science ®Google Scholar
• Wittink , D. R. , Vriens , M. , Burhenne , W. ( 1994 ). Commercial use of conjoint analysis in Europe: Results and critical reflections . International Journal of Marketing Research 11 : 41 – 52 .
   Google Scholar