IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v56y2005i11d10.1057_palgrave.jors.2601972.html
   My bibliography  Save this article

Modelling category demand in retail chains

Author

Listed:
  • G Baltas

    (Athens University of Economics and Business)

Abstract

This paper is concerned with analysis of retail-chain data on the demand of frequently bought product categories. It is intended to extend the domain of demand analysis to chain-wide data that directly concern retail managers and researchers. The proposed model explores specific structural hypotheses for chain demand and provides a comprehensive framework that admits store heterogeneity, periodic sales variation, chain-wide sales shocks, and sales dynamics. The approach is illustrated in a case study using scanner data from 10 product categories and yields empirical, quantitative insights into the structure of category demand in retail chains. The model determines category elasticities with clear implications for the effectiveness of pricing policy at the retail level and provides a useful tool for applied demand analysis in the modern retail environment.

Suggested Citation

  • G Baltas, 2005. "Modelling category demand in retail chains," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(11), pages 1258-1264, November.
    • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:11:d:10.1057_palgrave.jors.2601972
    DOI: 10.1057/palgrave.jors.2601972
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601972
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/palgrave.jors.2601972?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Leeflang, P.S.H. & Wittink, Dick R., 2000. "Building models for marketing decisions: past, present and future," Research Report 00F20, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    2. David R. Bell & Jeongwen Chiang & V. Padmanabhan, 1999. "The Decomposition of Promotional Response: An Empirical Generalization," Marketing Science, INFORMS, vol. 18(4), pages 504-526.
    3. repec:dgr:rugsom:00f20 is not listed on IDEAS
    4. Walters, Rockney G. & Bommer, William, 1996. "Measuring the Impact of Product and Promotion-Related Factors on Product Category Price Elasticities," Journal of Business Research, Elsevier, vol. 36(3), pages 203-216, July.
    5. Vincent R. Nijs & Marnik G. Dekimpe & Jan-Benedict E.M. Steenkamps & Dominique M. Hanssens, 2001. "The Category-Demand Effects of Price Promotions," Marketing Science, INFORMS, vol. 20(1), pages 1-22, September.
    6. Jagmohan S. Raju, 1992. "The Effect of Price Promotions on Variability in Product Category Sales," Marketing Science, INFORMS, vol. 11(3), pages 207-220.
    7. Jeongwen Chiang & Ching-Fan Chung & Emily Cremers, 2001. "Promotions and the pattern of grocery shopping time," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(7), pages 801-819.
    8. Xavier Drèze & Patricia Nisol & Naufel J. Vilcassim, 2004. "Do Promotions Increase Store Expenditures? A Descriptive Study of Household Shopping Behavior," Quantitative Marketing and Economics (QME), Springer, vol. 2(1), pages 59-92, March.
    9. Baltas, George & Doyle, Peter, 2001. "Random utility models in marketing research: a survey," Journal of Business Research, Elsevier, vol. 51(2), pages 115-125, February.
    10. Andrews, Rick L. & Franke, George R., 1996. "Dynamics of aggregate response sensitivities to marketing mix variables," Journal of Business Research, Elsevier, vol. 36(2), pages 145-155, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nagaraja, C.H. & Thavaneswaran, A. & Appadoo, S.S., 2015. "Measuring the bullwhip effect for supply chains with seasonal demand components," European Journal of Operational Research, Elsevier, vol. 242(2), pages 445-454.
    2. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
    3. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vincent R. Nijs & Shuba Srinivasan & Koen Pauwels, 2007. "Retail-Price Drivers and Retailer Profits," Marketing Science, INFORMS, vol. 26(4), pages 473-487, 07-08.
    2. Haans, Hans & Gijsbrechts, Els, 2011. "“One-deal-fits-all?” On Category Sales Promotion Effectiveness in Smaller versus Larger Supermarkets," Journal of Retailing, Elsevier, vol. 87(4), pages 427-443.
    3. Koen Pauwels & Shuba Srinivasan, 2004. "Who Benefits from Store Brand Entry?," Marketing Science, INFORMS, vol. 23(3), pages 364-390, July.
    4. Csilla Horváth & Dennis Fok, 2013. "Moderating Factors of Immediate, Gross, and Net Cross-Brand Effects of Price Promotions," Marketing Science, INFORMS, vol. 32(1), pages 127-152, July.
    5. Breugelmans, Els & Campo, Katia, 2016. "Cross-Channel Effects of Price Promotions: An Empirical Analysis of the Multi-Channel Grocery Retail Sector," Journal of Retailing, Elsevier, vol. 92(3), pages 333-351.
    6. Osuna, Ignacio & González, Jorge & Capizzani, Mario, 2016. "Which Categories and Brands to Promote with Targeted Coupons to Reward and to Develop Customers in Supermarkets," Journal of Retailing, Elsevier, vol. 92(2), pages 236-251.
    7. Minakshi Trivedi & Dinesh K. Gauri & Yu Ma, 2017. "Measuring the Efficiency of Category-Level Sales Response to Promotions," Management Science, INFORMS, vol. 63(10), pages 3473-3488, October.
    8. Srinivasan, S. & Pauwels, K.H. & Hanssens, D.M. & Dekimpe, M.G., 2002. "Do Promotions Benefit Manufacturers, Retailers or Both?," ERIM Report Series Research in Management ERS-2002-21-MKT, 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 University Rotterdam.
    9. Deleersnyder, B. & Dekimpe, M.G. & Steenkamp, J-B.E.M. & Koll, O., 2005. "Win-Win Strategies at Discount Stores," ERIM Report Series Research in Management ERS-2005-050-MKT, 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 University Rotterdam.
    10. Deleersnyder, B. & Dekimpe, M.G. & Steenkamp, J.E.B.M. & Koll, O., 2007. "Win-win strategies at discount stores," Other publications TiSEM 34fbe624-0ee7-4c52-b640-7, Tilburg University, School of Economics and Management.
    11. Shuba Srinivasan & Koen Pauwels & Dominique M. Hanssens & Marnik G. Dekimpe, 2004. "Do Promotions Benefit Manufacturers, Retailers, or Both?," Management Science, INFORMS, vol. 50(5), pages 617-629, May.
    12. D. VAN DEN POEL & Jan J. DE SCHAMPHELAERE & G. WETS, 2003. "Direct and Indirect Effects of Retail Promotions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/202, Ghent University, Faculty of Economics and Business Administration.
    13. Guyt, Jonne & Gijsbrechts, Els, 2018. "On consumer choice patterns and the net impact of feature promotions," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 490-508.
    14. Koen Pauwels & Shuba Srinivasan & Philip Hans Franses, 2007. "When Do Price Thresholds Matter in Retail Categories?," Marketing Science, INFORMS, vol. 26(1), pages 83-100, 01-02.
    15. Harald Van Heerde & Kristiaan Helsen & Marnik G. Dekimpe, 2007. "The Impact of a Product-Harm Crisis on Marketing Effectiveness," Marketing Science, INFORMS, vol. 26(2), pages 230-245, 03-04.
    16. Pauwels, Koen & Neslin, Scott A., 2015. "Building With Bricks and Mortar: The Revenue Impact of Opening Physical Stores in a Multichannel Environment," Journal of Retailing, Elsevier, vol. 91(2), pages 182-197.
    17. Kremer, Sara T.M. & Bijmolt, Tammo H.A. & Leeflang, Peter S.H. & Wieringa, Jaap E., 2008. "Generalizations on the effectiveness of pharmaceutical promotional expenditures," International Journal of Research in Marketing, Elsevier, vol. 25(4), pages 234-246.
    18. Horváth, C. & Fok, D., 2008. "Moderating Factors of Immediate, Dynamic, and Long-run Cross-Price Effects," ERIM Report Series Research in Management ERS-2008-042-MKT, 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 University Rotterdam.
    19. Manqi (Maggie) Li & Yan Huang & Amitabh Sinha, 2020. "Data-Driven Promotion Planning for Paid Mobile Applications," Information Systems Research, INFORMS, vol. 31(3), pages 1007-1029, September.
    20. Venkatesh Shankar & Ruth N. Bolton, 2004. "An Empirical Analysis of Determinants of Retailer Pricing Strategy," Marketing Science, INFORMS, vol. 23(1), pages 28-49, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jorsoc:v:56:y:2005:i:11:d:10.1057_palgrave.jors.2601972. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.