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Assesing the frequency and clauses of out-of-stock events through store scanner data

Author

Listed:
  • Bayle-Tourtoulou, Anne-Sophie
  • Laurent, Gilles
  • Macé, Sandrine

Abstract

This paper aims to provide an answer to the question of out-of-stock events (OOS), their frequency, the sales losses they generate, and their causes. The authors provide two contributions. They describe a new sales-based measure of OOS computed on the basis of store-level scanner data and identify several of the main determinants of OOS. They also introduce a significant distinction between complete and partial OOS

Suggested Citation

  • Bayle-Tourtoulou, Anne-Sophie & Laurent, Gilles & Macé, Sandrine, 2006. "Assesing the frequency and clauses of out-of-stock events through store scanner data," HEC Research Papers Series 830, HEC Paris.
  • Handle: RePEc:ebg:heccah:0830
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    References listed on IDEAS

    as
    1. Ravi Anupindi & Maqbool Dada & Sachin Gupta, 1998. "Estimation of Consumer Demand with Stock-Out Based Substitution: An Application to Vending Machine Products," Marketing Science, INFORMS, vol. 17(4), pages 406-423.
    2. Fitzsimons, Gavan J, 2000. "Consumer Response to Stockouts," Journal of Consumer Research, Oxford University Press, vol. 27(2), pages 249-266, September.
    3. Lau, Hon-Shiang & Hing-Ling Lau, Amy, 1996. "Estimating the demand distributions of single-period items having frequent stockouts," European Journal of Operational Research, Elsevier, vol. 92(2), pages 254-265, July.
    4. Eitan Gerstner & James D. Hess, 1990. "Can Bait and Switch Benefit Consumers?," Marketing Science, INFORMS, vol. 9(2), pages 114-124.
    5. van Delft, Ch. & Vial, J. P., 1996. "Discounted costs, obsolescence and planned stockouts with the EOQ formula," International Journal of Production Economics, Elsevier, vol. 44(3), pages 255-265, July.
    6. Andrew B. Abel, 1985. "Inventories, Stock-Outs, and Production Smoothing," NBER Working Papers 1563, National Bureau of Economic Research, Inc.
    7. Subramanian Balachander & Peter H. Farquhar, 1994. "Gaining More by Stocking Less: A Competitive Analysis of Product Availability," Marketing Science, INFORMS, vol. 13(1), pages 3-22.
    8. James D. Hess & Eitan Gerstner, 1987. "Loss Leader Pricing and Rain Check Policy," Marketing Science, INFORMS, vol. 6(4), pages 358-374.
    9. Andrew B. Abel, 1985. "Inventories, Stock-Outs and Production Smoothing," Review of Economic Studies, Oxford University Press, vol. 52(2), pages 283-293.
    10. Frechette, Darren L, 1999. "Stock-Outs and Supply Response Estimation under Rational Expectations," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 26(1), pages 59-77, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    out-of-stock events; store-level scanner data; assortment; retailing; marketing metrics;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm

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