A Multiattribute Model of Consumer Choice During Product Learning
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DOI: 10.1287/mksc.4.1.41
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Cited by:
- Praveen K. Kopalle & João L. Assunção, 2000. "When (not) to indulge in 'puffery': the role of consumer expectations and brand goodwill in determining advertised and actual product quality," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 223-241.
- Hauser, John R. & Urban, Glen L. & Weinberg, Bruce D., 1992. "Time flies when you're having fun : how consumers allocate their time when evaluating products," Working papers 3439-92., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Anocha Aribarg & Thomas Otter & Daniel Zantedeschi & Greg M. Allenby & Taylor Bentley & David J. Curry & Marc Dotson & Ty Henderson & Elisabeth Honka & Rajeev Kohli & Kamel Jedidi & Stephan Seiler & X, 2018. "Advancing Non-compensatory Choice Models in Marketing," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 82-92, March.
- Heiman, Amir & Just, David R. & McWilliams, Bruce P. & Zilberman, David, 2015. "A prospect theory approach to assessing changes in parameters of insurance contracts with an application to money-back guarantees," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 54(C), pages 105-117.
- Huang, Yanliu & Hutchinson, J. Wesley, 2013. "The roles of planning, learning, and mental models in repeated dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 122(2), pages 163-176.
- Naeun L. Kim & Gwia Kim & Lori Rothenberg, 2020. "Is Honesty the Best Policy? Examining the Role of Price and Production Transparency in Fashion Marketing," Sustainability, MDPI, vol. 12(17), pages 1-18, August.
- Song, Lianlian & Shi, Yang & Tso, Geoffrey Kwok Fai & Lo, Hing Po, 2021. "Forecasting week-to-week television ratings using reduced-form and structural dynamic models," International Journal of Forecasting, Elsevier, vol. 37(1), pages 302-321.
- Ert, Eyal & Raz, Ornit & Heiman, Amir, 2016. "(Poor) seeing is believing: When direct experience impairs product promotion," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 881-895.
- Yonezawa, Koichi & Richards, Timothy J., 2016. "Competitive Package Size Decisions," Journal of Retailing, Elsevier, vol. 92(4), pages 445-469.
- Tansev Geylani & J. Jeffrey Inman & Frenkel Ter Hofstede, 2008. "Image Reinforcement or Impairment: The Effects of Co-Branding on Attribute Uncertainty," Marketing Science, INFORMS, vol. 27(4), pages 730-744, 07-08.
- Maltz, Amnon, 2016.
"Experience based dynamic choice: A revealed preference approach,"
Journal of Economic Behavior & Organization, Elsevier, vol. 128(C), pages 1-13.
- Maltz, Amnon, "undated". "Experience Based Dynamic Choice: A Revealed Preference Approach," Working Papers WP2015/6, University of Haifa, Department of Economics, revised 18 Nov 2015.
- Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Learning from Peers: Knowledge Transfer and Sales Force Productivity Growth," Marketing Science, INFORMS, vol. 33(4), pages 463-484, July.
- John C. Liechty & Duncan K. H. Fong & Wayne S. DeSarbo, 2005. "Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis," Marketing Science, INFORMS, vol. 24(2), pages 285-293, November.
- Heiman, Amir & Lowengart, Oded, 2008. "The effect of information about health hazards on demand for frequently purchased commodities," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 310-318.
- Yi Zhao & Sha Yang & Vishal Narayan & Ying Zhao, 2013. "Modeling Consumer Learning from Online Product Reviews," Marketing Science, INFORMS, vol. 32(1), pages 153-169, May.
- Sridhar Narayanan & Puneet Manchanda, 2009. "Heterogeneous Learning and the Targeting of Marketing Communication for New Products," Marketing Science, INFORMS, vol. 28(3), pages 424-441, 05-06.
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Keywords
choice models; new product forecasting; decision making under uncertainty;All these keywords.
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