IDEAS home Printed from https://ideas.repec.org/a/ucp/jnlbus/v52y1979i1p103-18.html
   My bibliography  Save this article

An Analysis of Retail Display Space: Theory and Methods

Author

Listed:
  • Anderson, Evan E

Abstract

No abstract is available for this item.

Suggested Citation

  • Anderson, Evan E, 1979. "An Analysis of Retail Display Space: Theory and Methods," The Journal of Business, University of Chicago Press, vol. 52(1), pages 103-118, January.
  • Handle: RePEc:ucp:jnlbus:v:52:y:1979:i:1:p:103-18
    DOI: 10.1086/296036
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/296036
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

    File URL: https://libkey.io/10.1086/296036?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.

    Citations

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


    Cited by:

    1. Mark G. Brown & Jong-Ying Lee, 1996. "Allocation of shelf space: A case study of refrigerated juice products in grocery stores," Agribusiness, John Wiley & Sons, Ltd., vol. 12(2), pages 113-121.
    2. Mowrey, Corinne H. & Parikh, Pratik J. & Gue, Kevin R., 2018. "A model to optimize rack layout in a retail store," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1100-1112.
    3. Xue Bai & Sudip Bhattacharjee & Fidan Boylu & Ram Gopal, 2015. "Growth Projections and Assortment Planning of Commodity Products Across Multiple Stores: A Data Mining and Optimization Approach," INFORMS Journal on Computing, INFORMS, vol. 27(4), pages 619-635, November.
    4. repec:dau:papers:123456789/1758 is not listed on IDEAS
    5. Rennhoff, Adam D., 2004. "Paying For Shelf Space: An Investigation Of Merchandising Allowances In The Grocery Industry," Research Reports 25155, University of Connecticut, Food Marketing Policy Center.
    6. Reyes, Pedro M. & Frazier, Gregory V., 2007. "Goal programming model for grocery shelf space allocation," European Journal of Operational Research, Elsevier, vol. 181(2), pages 634-644, September.
    7. Hasmukh Gajjar & Gajendra Adil, 2010. "A piecewise linearization for retail shelf space allocation problem and a local search heuristic," Annals of Operations Research, Springer, vol. 179(1), pages 149-167, September.
    8. Ketzenberg, Michael & Metters, Richard & Vargas, Vicente, 2002. "Quantifying the benefits of breaking bulk in retail operations," International Journal of Production Economics, Elsevier, vol. 80(3), pages 249-263, December.
    9. Irion, Jens & Lu, Jye-Chyi & Al-Khayyal, Faiz & Tsao, Yu-Chung, 2012. "A piecewise linearization framework for retail shelf space management models," European Journal of Operational Research, Elsevier, vol. 222(1), pages 122-136.
    10. Andrew Lim & Brian Rodrigues & Xingwen Zhang, 2004. "Metaheuristics with Local Search Techniques for Retail Shelf-Space Optimization," Management Science, INFORMS, vol. 50(1), pages 117-131, January.
    11. Adam D. Rennhoff, 2004. "Paying For Shelf Space: An Investigation Of Merchandising Allowances In The Grocery Industry," Food Marketing Policy Center Research Reports 084, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    12. Karki, Uttam & Guthrie, Bradley & Parikh, Pratik J., 2021. "Joint determination of rack configuration and shelf space allocation for a retailer," International Journal of Production Economics, Elsevier, vol. 234(C).
    13. Bianchi-Aguiar, Teresa & Hübner, Alexander & Carravilla, Maria Antónia & Oliveira, José Fernando, 2021. "Retail shelf space planning problems: A comprehensive review and classification framework," European Journal of Operational Research, Elsevier, vol. 289(1), pages 1-16.
    14. Eisend, Martin, 2014. "Shelf space elasticity: A meta-analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 168-181.
    15. Rachel A. Bahn & Gumataw K. Abebe, 2020. "Food retail expansion patterns in Sub‐Saharan Africa and the Middle East and North Africa: Institutional and regional perspectives," Agribusiness, John Wiley & Sons, Ltd., vol. 36(3), pages 453-481, June.
    16. Valenzuela, Ana & Raghubir, Priya & Mitakakis, Chrissy, 2013. "Shelf space schemas: Myth or reality?," Journal of Business Research, Elsevier, vol. 66(7), pages 881-888.

    More about this item

    Statistics

    Access and download statistics

    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:ucp:jnlbus:v:52:y:1979:i:1:p:103-18. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Journals Division (email available below). General contact details of provider: https://www.jstor.org/journal/jbusiness .

    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.