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Assessing the Value of Information Sharing in a Promotional Retail Environment

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Author Info

  • Ananth. V. Iyer

    ()
    (Krannert School of Management, 1310 Krannert Building, Purdue University, West Lafayette, Indiana 47907)

  • Jianming Ye

    ()
    (Department of Statistics and CIS, Baruch College, City University of New York, 17 Lexington Avenue, New York, New York 10010)

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    Abstract

    We focus on a logistics system where inventory is held at three levels: the customers, the retail store, and the warehouse. Retail customer segments are heterogeneous and differ in their reservation prices for product as well as their holding costs. They purchase product from a retail store managed by a retailer. The retailer chooses a retail pricing scheme to maximize his expected profit given a model of customer temporal response to retail pricing. This retailer is supplied product from a warehouse managed by a manufacturer. The manufacturer is responsible for maintaining inventory level at the warehouse and providing 100% service level for retailer orders. The manufacturer uses all available information to generate an inventory policy that maximizes expected profit subject to the service-level requirement. We evaluate the manufacturer's optimal expected profit under two possible schemes: (1) no information regarding the timing of retail promotion plans, and (2) full information regarding the timing of retail promotion plans. We show: (1) as the predictability of the sales impact of a promotion decreases, it may be optimal for the retailer to eliminate retail promotions; (2) increased stockpiling tendency of customers increases retailer profits and decreases manufacturer profits; and (3) retail-promotion information sharing can make retail promotions change from being less profitable than no promotions to being more profitable than no promotions for the manufacturer. We show the impact of fitting the model to a grocery store data set that provided data regarding retail sales (and associated prices) of canned tomato soup over two years. We also explore managerial insights suggested by the model.

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    File URL: http://dx.doi.org/10.1287/msom.2.2.128.12350
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    Bibliographic Info

    Article provided by INFORMS in its journal Manufacturing & Service Operations Management.

    Volume (Year): 2 (2000)
    Issue (Month): 2 (February)
    Pages: 128-143

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    Handle: RePEc:inm:ormsom:v:2:y:2000:i:2:p:128-143

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    Related research

    Keywords: information sharing; retail promotions; customer heterogeneity; inventory models;

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    Cited by:
    1. Fleischmann, M. & Hall, J.M. & Pyke, D.F., 2005. "A Dynamic Pricing Model for Coordinated Sales and Operations," ERIM Report Series Research in Management ERS-2005-074-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
    2. Li, Xiuhui & Wang, Qinan, 2007. "Coordination mechanisms of supply chain systems," European Journal of Operational Research, Elsevier, vol. 179(1), pages 1-16, May.
    3. Fleischmann, M. & Hall, J.M. & Pyke, D.F., 2003. "Smart Pricing: Linking Pricing Decisions with Operational Insights," ERIM Report Series Research in Management ERS-2004-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.

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