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Pricing and inventory management during new product introduction when shortage creates hype

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  • Prashant Chintapalli
  • Jishnu Hazra

Abstract

In this study, we analyze the joint pricing and inventory management during new product introduction when product shortage creates additional demand due to hype. We develop a two‐period model in which a firm launches its product at the beginning of the first period, before it observes sales in the two periods. The product is successful with an exogenous probability, or unsuccessful with the complementary probability. The hype in the second period is observed only when the product is successful. The firm learns the actual status of the product only after observing the first‐period demand. The firm must decide the stocking level and price of the product jointly at the beginning of each of the two periods. In this article, we derive some structural properties of the optimal prices and inventory levels, and show that (i) firms do not always exploit hype, (ii) firms do not always increase the price of a successful product in the second period, (iii) firms may price out an unsuccessful product in the first period if the success probability is above a threshold, and (iv) such a threshold probability is decreasing in the first‐period market potential of the successful product. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 304–320, 2015

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  • Prashant Chintapalli & Jishnu Hazra, 2015. "Pricing and inventory management during new product introduction when shortage creates hype," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(4), pages 304-320, June.
    • Handle: RePEc:wly:navres:v:62:y:2015:i:4:p:304-320
    DOI: 10.1002/nav.21629
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    References listed on IDEAS

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    1. Nan Yang & Renyu Zhang, 2014. "Dynamic Pricing and Inventory Management Under Inventory-Dependent Demand," Operations Research, INFORMS, vol. 62(5), pages 1077-1094, October.
    2. Yigal Gerchak & Yunzeng Wang, 1994. "Periodic‐review inventory models with inventory‐level‐dependent demand," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(1), pages 99-116, February.
    3. Verhallen, Theo M M & Robben, Henry S J, 1995. "Unavailability and the Evaluation of Goods," Kyklos, Wiley Blackwell, vol. 48(3), pages 369-387.
    4. Anantaram Balakrishnan & Michael S. Pangburn & Euthemia Stavrulaki, 2004. ""Stack Them High, Let 'em Fly": Lot-Sizing Policies When Inventories Stimulate Demand," Management Science, INFORMS, vol. 50(5), pages 630-644, May.
    5. Verhallen, Theo M. M. & Robben, Henry S. J., 1994. "Scarcity and preference: An experiment on unavailability and product evaluation," Journal of Economic Psychology, Elsevier, vol. 15(2), pages 315-331, June.
    6. Patrick DeGraba, 1995. "Buying Frenzies and Seller-Induced Excess Demand," RAND Journal of Economics, The RAND Corporation, vol. 26(2), pages 331-342, Summer.
    7. Nicholas C. Petruzzi & Maqbool Dada, 1999. "Pricing and the Newsvendor Problem: A Review with Extensions," Operations Research, INFORMS, vol. 47(2), pages 183-194, April.
    8. Necati Tereyagoglu & Senthil Veeraraghavan, 2012. "Selling to Conspicuous Consumers: Pricing, Production, and Sourcing Decisions," Management Science, INFORMS, vol. 58(12), pages 2168-2189, December.
    9. Kutsal Doğan & Yonghua Ji & Vijay S. Mookerjee & Suresh Radhakrishnan, 2011. "Managing the Versions of a Software Product Under Variable and Endogenous Demand," Information Systems Research, INFORMS, vol. 22(1), pages 5-21, March.
    10. Cuihong Li & Laurens G. Debo, 2009. "Second Sourcing vs. Sole Sourcing with Capacity Investment and Asymmetric Information," Manufacturing & Service Operations Management, INFORMS, vol. 11(3), pages 448-470, July.
    11. James D. Dana, Jr. & Nicholas C. Petruzzi, 2001. "Note: The Newsvendor Model with Endogenous Demand," Management Science, INFORMS, vol. 47(11), pages 1488-1497, November.
    12. Urban, Timothy L., 2005. "Inventory models with inventory-level-dependent demand: A comprehensive review and unifying theory," European Journal of Operational Research, Elsevier, vol. 162(3), pages 792-804, May.
    13. Amar Sapra & Van-Anh Truong & Rachel Q. Zhang, 2010. "How Much Demand Should Be Fulfilled?," Operations Research, INFORMS, vol. 58(3), pages 719-733, June.
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