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Modeling of Marketing Channels: Implications for Both Fields and a Call for Future ResearchRobert J. MeyerUniversity of Pennsylvania - Marketing Department Joachim VosgerauCarnegie Mellon University - David A. Tepper School of Business Vishal P. SinghGSIA, Carnegie Mellon University Joel UrbanyUniversity of Notre Dame - Department of Marketing Gal ZaubermanUniversity of Pennsylvania - Marketing Department Michael I. NortonHarvard Business School Tony Haitao CuiUniversity of Minnesota - Twin Cities Brian T. RatchfordUniversity of Texas at Dallas Alessandro AcquistiCarnegie Mellon University - H. John Heinz III School of Public Policy and Management David R. BellUniversity of Pennsylvania - Marketing Department Barbara E. KahnUniversity of Pennsylvania - Marketing Department; University of Miami June 1, 2009 Marketing Letters, Forthcoming Abstract: Game-theoretic models of marketing channels typically rely on simplifying assumptions that, from a behavioral perspective, often appear naïve. However, behavioral researchers have produced such an abundance of behavioral regularities that they are impossible to incorporate into game-theoretic models. We believe that a focus on three core findings would benefit both fields; these are: First, beliefs that are held by the various players regarding profit consequences of different actions are incomplete and often biased; second, players’ preferences and optimization objectives are not commonly known; and third, players have insufficient cognitive abilities to achieve optimization objectives. Embracing these three findings shifts the focus from rational decision making to how decision makers learn to improve their decision making skills. Concluding, we believe that greater convergence of game-theoretic modeling and behavioral research in marketing channels would lead to new insights for both fields.
Number of Pages in PDF File: 25 Keywords: marketing channels, game theory, behavioral decision research JEL Classification: D03, D40, D70, D80, D90, L10, L20, M10, M30, M31 Accepted Paper SeriesDate posted: June 16, 2009 ; Last revised: January 4, 2012Suggested CitationContact Information
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