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Internet-Based Distribution Channel for Product Diversion with Potential Manufacturer’s Intervention

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Consumer-Driven Demand and Operations Management Models

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 131))

Abstract

We study a setting in which two channels of distribution are used by retailers for selling their merchandise. The first is the traditional channel of retail stores, which the retailers use early in the product lifecycle, and the second is an Internet-based channel, which is used by the retailers later on to reach new market segments for disposing of their excess inventories. In addition, we investigate the implications of the manufacturer’s decision to intervene by offering additional units for sale through the online channel. It is assumed that demand in the secondary market – the market that the retailers and manufacturer reach through the online channel of distribution – is mainly price driven and that the equilibrium unit price in this market is determined endogenously so as to equal demand and supply and clear the market. Thus, through their inventory replenishment decisions, the retailers and manufacturer can collectively influence future demand level and the equilibrium unit price in the secondary market. We assume a large number of retailers, an assumption that is appropriate for an Internet-based market. To simplify the analysis, we further assume that all retailers are identical. We derive the retailers’ optimal order quantity, the manufacturer’s optimal number of units to offer for sale in the secondary market, and the resulting secondary market equilibrium unit price. We show that when the retailers are the only ones to use the online channel, all entities along the supply chain benefit, including the retailers, manufacturer, and primary and secondary-market customers. Intervention in the secondary market will not always be in the manufacturer’s best interest, as it may reduce her total expected profits. Furthermore, the retailers as well as primary-market customers will always be worse off from the manufacturer’s intervention, while the secondary-market customers will always benefit from this move.

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References

  • Anupindi R, Bassok Y (1999) Centralization of stocks: Retailers vs. manufacturer. Management Science 45(2):178–191

    Article  Google Scholar 

  • Axsäter S (2003) A new decision rule for lateral transshipments in inventory systems. Management Science 49(9):1168–1179

    Article  Google Scholar 

  • Billington C, Lee HL, Tang CS (1998) Successful strategies for product rollovers. Sloan Management Review 39(3):23–30

    Google Scholar 

  • Choi TM, Li D, Yan H (2004) Optimal returns policy for supply chain with e-marketplace. International Journal of Production Economics 88(2):205–227

    Article  Google Scholar 

  • Doctorow D, Saloner G (2000) QRS corporation. A case study. Graduate School of Business, Stanford University, EC-14

    Google Scholar 

  • Elmaghraby W (2000) Supply contract competition and sourcing policies. Manufacturing and Service Operations Management 2(4):350–371

    Article  Google Scholar 

  • Eppen GD, Iyer AV (1997) Improved fashion buying with Bayesian updates. Operations Research 45(6):805–819

    Article  Google Scholar 

  • Esteban S, Shum M (2007) Durable-goods oligopoly with secondary markets: The case of automobiles. The RAND Journal of Economics 38(2):332–354

    Article  Google Scholar 

  • Grey W, Olavson T, Shi D (2005) The role of e-marketplaces in relationship-based supply chains: A survey. IBM Systems Journal 44(1):109–123

    Article  Google Scholar 

  • Kleindorfer PR, Wu DJ (2003) Integrating long- and short-term contracting via business-to-business exchanges for capital-intensive industries. Management Science 49(11):1597–1615

    Article  Google Scholar 

  • Klemperer P (1999) Auction theory: A guide to the literature. Journal of Economic Surveys 13(3):227–286

    Article  Google Scholar 

  • Kouvelis P, Gutierrez GJ (1997) The newsvendor problem in a global market: Optimal centralized and decentralized control policies for a two-market stochastic inventory system. Management Science 43(5):571–585

    Article  Google Scholar 

  • Lee HL, Whang S (2002) The impact of the secondary market on the supply chain. Management Science 48(6):719–731

    Article  Google Scholar 

  • McAfee R, McMillan J (1987) Auctions and bidding. Journal of Economic Literature 25:699–738

    Google Scholar 

  • Mendelson H, Tunca TI (2007) Strategic spot trading in supply chains. Management Science 53(5):742–759

    Article  Google Scholar 

  • Milner JM, Kouvelis P (2007) Inventory, speculation, and sourcing strategies in the presence of online exchanges. Manufacturing and Service Operations Management 9(3):312–331

    Article  Google Scholar 

  • Peleg B, Lee HL, Hausman WH (2002) Short-term e-procurement strategies vs. long-term contracts. Production and Operations Management 11(4):458–479

    Google Scholar 

  • Rosenfield DB (1989) Disposal of excess inventory. Operations Research 37(3):404–409

    Article  Google Scholar 

  • Rudi N, Kapur S, Pyke DF (2001) A two-location inventory model with transshipment and local decision making. Management Science 47(12):1668–1680

    Article  Google Scholar 

  • Sosic G (2006) Transshipment of inventories among retailers: Myopic vs. farsighted stability. Management Science 52(10):1493–1508

    Article  Google Scholar 

  • Taylor C (2001) They love the slump. Time Global Business B24–B25, June

    Google Scholar 

  • Tunca TI, Zenios SA (2006) Supply auctions and relational contracts for procurement. Manufacturing and Service Operations Management 8(1):43–67

    Article  Google Scholar 

  • Vakrat Y (2000) Online auctions. PhD dissertation, University of Rochester

    Google Scholar 

  • Wurman PR, Walsh WE, Wellman MP (1998) Flexible double auctions for electronic commerce: theory and implementation. Decision Support Systems 24(1):17–27

    Article  Google Scholar 

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Correspondence to Barchi Gillai .

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Gillai, B., Lee, H.L. (2009). Internet-Based Distribution Channel for Product Diversion with Potential Manufacturer’s Intervention. In: Tang, C., Netessine, S. (eds) Consumer-Driven Demand and Operations Management Models. International Series in Operations Research & Management Science, vol 131. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-98026-3_5

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