Asymmetric Consumer Learning and Inventory Competition
ABSTRACT - We develop a model of consumer learning and choice behavior in response to uncertain service at the marketplace. Learning could be asymmetric, i.e., consumers may associate different weights with positive and negative experiences. Under this demand model, we consider a non-cooperative game between two retailers competing on the basis of their service levels. Our model yields a unique pure strategy Nash equilibrium. We show that the inventory game is analogous to a Prisoners Dilemma, and that asymmetry in consumer learning has a significant impact on total industry profits and inventory levels. When retailers have different costs, it also determines the extent of competitive advantage enjoyed by the lower cost retailer.
Citation:
Vishal Gaur and Young-Hoon Park (2005) ,"Asymmetric Consumer Learning and Inventory Competition", in AP - Asia Pacific Advances in Consumer Research Volume 6, eds. Yong-Uon Ha and Youjae Yi, Duluth, MN : Association for Consumer Research, Pages: 196.
We develop a model of consumer learning and choice behavior in response to uncertain service at the marketplace. Learning could be asymmetric, i.e., consumers may associate different weights with positive and negative experiences. Under this demand model, we consider a non-cooperative game between two retailers competing on the basis of their service levels. Our model yields a unique pure strategy Nash equilibrium. We show that the inventory game is analogous to a Prisoners Dilemma, and that asymmetry in consumer learning has a significant impact on total industry profits and inventory levels. When retailers have different costs, it also determines the extent of competitive advantage enjoyed by the lower cost retailer. REFERENCES Agrawal, V. and S. Seshadri. 2000. Effect of Risk Aversion on Pricing and Order Quantity Decisions. Manufacturing & Service Operations Management 2 410-423. Anderson, E. T., G. J. Fitzsimons, and D. I. Simester. 2002. Do Stockouts Adversely Affect Future Customer Demand? Working Paper, Graduate School of Business, University of Chicago. 21 Anderson, E. T. and M. W. Sullivan. 1993. The Antecedents and Consequences of Customer Satisfaction for Firms. Marketing Science 12 125-143. Anupindi, R., M. Dada and S. Gupta. 1998. Estimation of Consumer Demand with Stock-out Based Substitution: An Application to Vending Machine Products. Marketing Science 17 406-423. Anupindi, R. and Y. Bassok. 1999. Centralization of Stocks: Retailers vs. Manufacturer. Management Science 45 178-191. Ben-Akiva, M. and S. R. Lerman. 1985. Discrete Choice Analysis. MIT Press, Cambridge, MA. Dana, J. D. and N. C. Petruzzi. 2001. The Newsvendor Model with Endogenous Demand. Management Science 47 1488-1497. Deneckere, R. and J. Peck. 1995. Competition Over Price and Service Rate When Demand is Stochastic: A Strategic Analysis. RAND Journal of Economics 26 148-162. Debreu, D. 1952. A Social Equilibrium Existence Theorem. Proceedings of the National Academy of Sciences 38 886-893. Ernst, R. and S. G. Powell. 1995. Optimal Inventory Policies Under Service-Sensitive Demand. European Journal of Operational Research 87 316-327. Fitzsimons, G. J. 2000. Consumer Response to Stockouts. Journal of Consumer Research 27 249-266. Gans, N. 2002. Customer Loyalty and Supplier Quality Competition. Management Science 48 207-221. 22 Guadagni, P. M. and J. D. C. Little. 1983. A Logit Model of Brand Choice Calibrated on Scanner Data. Marketing Science 2 203-238. Hall, J. and E. Porteus. 2000. Customer Service Competition in Capacitated Systems. Manufacturing & Service Operations Management 2 144-165. Kahneman, D. and A. Tversky. 1979. Prospect Theory: An Analysis of Decision under Risk. Econometrica 47 263-292. Karjalainen, R. 1992. The Newsboy Game. Working Paper, The Wharton School, University of Pennsylvania. Lippman, S. A. and K. F. McCardle. 1997. The Competitive Newsboy. Operations Research 45 54-65. Mahajan, S. and G. van Ryzin. 2001. Inventory Competition Under Dynamic Consumer Choice. Operations Research 49 646-657. McFadden, D. 1974. Conditional Logit Analysis of Qualitative Choice Behavior. in Frontiers in Econometrics P. Zarembka, ed. Academic Press, New York. 105-142. Netessine, S. and N. Rudi. 2003. Centralized and Competitive Inventory Models with Demand Substitution. Operations Research 51 329-335. Netessine, S. and N. Rudi, and Y. Wang. 2003. Dynamic Inventory Competition and Customer Retention. Working Paper, The Wharton School, University of Pennsylvania. Parlar, M. 1988. Game Theoretic Analysis of the Substitutable Product Inventory Problem with Random Demands. Naval Research Logistics 35 397-409. 23 Petruzzi, N. C. and M. Dada. 1999. Pricing and the Newsvendor Problem: A Review with Extensions. Operations Research 47 183-194. Schwartz, B. L. 1966. A New Approach to Stockout Penalties. Management Science 12 B538-B544. Schwartz, B. L. 1970. Optimal Inventory Policies in Perturbed Demand Models. Management Science 16 B509-B518. Tversky, A. and D. Kahneman. 1991. Loss Aversion in Riskless Choice: A Reference-Dependent Model. Quarterly Journal of Economics 106 1039-1061. van Ryzin, G. and S. Mahajan. 1999. On the Relationship between Inventory Costs and Variety Benefits in Retail Assortments. Management Science 45 1496-1509. ----------------------------------------
Authors
Vishal Gaur, New York University, U.S.A.
Young-Hoon Park, Cornell University, U.S.A.
Volume
AP - Asia Pacific Advances in Consumer Research Volume 6 | 2005
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