IDEAS home Printed from https://ideas.repec.org/a/inm/ormsom/v22y2020i3p481-494.html
   My bibliography  Save this article

Management and Effects of In-Store Promotional Displays

Author

Listed:
  • Oğuz Çetin

    (Kenan-Flagler Business School, University of North Carolina, Chapel Hill, North Carolina 27599-2390)

  • Adam J. Mersereau

    (Kenan-Flagler Business School, University of North Carolina, Chapel Hill, North Carolina 27599-2390)

  • Ali K. Parlaktürk

    (Kenan-Flagler Business School, University of North Carolina, Chapel Hill, North Carolina 27599-2390)

Abstract

Problem definition : We examine a brick-and-mortar retailer’s choice of which product to include in a promotional display (e.g., an “endcap” display). The display provides a visibility advantage to both the featured product and its category, but it also has consequences for customer traffic and substitution. Academic/practical relevance : Although there has been considerable academic interest in the assortment planning problem (which products to offer?) and in the shelf-space allocation problem (how much space to devote to each product?), little attention has been paid to the problem of where to place products in the store. Promotional display choice can serve as a powerful demand-shaping lever for retailers. A good understanding of this problem can also facilitate a retailer’s negotiations with manufacturers. Methodology : We develop analytical insights using a problem formulation based on a nested multinomial logit model of customer choice. Results : When choosing a promotional product from a fixed category, the only possible optimal choices for promotional display lie along an “efficient set” drawn in terms of product popularities and margins. The optimal choice along the frontier depends on a quantity we call “aisle attractiveness” that depends on several category-level parameters. The value of the display to a category pivots on whether the display’s role is primarily to expand demand for the category or to shape substitution within the category. Managerial implications : Our work provides guidance for how retailers can use and value promotional displays effectively. We highlight the importance of considering externalities of a display decision on store traffic and demand for other products.

Suggested Citation

  • Oğuz Çetin & Adam J. Mersereau & Ali K. Parlaktürk, 2020. "Management and Effects of In-Store Promotional Displays," Manufacturing & Service Operations Management, INFORMS, vol. 22(3), pages 481-494, May.
  • Handle: RePEc:inm:ormsom:v:22:y:2020:i:3:p:481-494
    DOI: 10.1287/msom.2018.0749
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/msom.2018.0749
    Download Restriction: no

    File URL: https://libkey.io/10.1287/msom.2018.0749?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
    ---><---

    References listed on IDEAS

    as
    1. David Besanko & Sachin Gupta & Dipak Jain, 1998. "Logit Demand Estimation Under Competitive Pricing Behavior: An Equilibrium Framework," Management Science, INFORMS, vol. 44(11-Part-1), pages 1533-1547, November.
    2. William J. Baumol & Edward A. Ide, 1956. "Variety in Retailing," Management Science, INFORMS, vol. 3(1), pages 93-101, October.
    3. van Heerde, H.J. & Gupta, S. & Wittink, D.R., 2003. "Is 3/4 of the Sales Promotion Bump Due to Brand Switching? No it is 1/3," Discussion Paper 2003-5, Tilburg University, Center for Economic Research.
    4. James M. Davis & Guillermo Gallego & Huseyin Topaloglu, 2014. "Assortment Optimization Under Variants of the Nested Logit Model," Operations Research, INFORMS, vol. 62(2), pages 250-273, April.
    5. 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.
    6. Stoops, Glenn T. & Pearson, Michael M., 1988. "Direct Product Profit: A View From The Supermarket Industry," Journal of Food Distribution Research, Food Distribution Research Society, vol. 19(2), pages 1-5, September.
    7. A. Gürhan Kök & Yi Xu, 2011. "Optimal and Competitive Assortments with Endogenous Pricing Under Hierarchical Consumer Choice Models," Management Science, INFORMS, vol. 57(9), pages 1546-1563, February.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    9. Jie Zhang, 2006. "An Integrated Choice Model Incorporating Alternative Mechanisms for Consumers' Reactions to In-Store Display and Feature Advertising," Marketing Science, INFORMS, vol. 25(3), pages 278-290, 05-06.
    10. A. Gürhan Kök & Marshall L. Fisher & Ramnath Vaidyanathan, 2008. "Assortment Planning: Review of Literature and Industry Practice," International Series in Operations Research & Management Science, in: Narendra Agrawal & Stephen A. Smith (ed.), Retail Supply Chain Management, chapter 0, pages 99-153, Springer.
    11. Cardell, N. Scott, 1997. "Variance Components Structures for the Extreme-Value and Logistic Distributions with Application to Models of Heterogeneity," Econometric Theory, Cambridge University Press, vol. 13(2), pages 185-213, April.
    12. Harald J. Heerde & Scott A. Neslin, 2017. "Sales Promotion Models," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 13-77, Springer.
    13. Phillips, Megan & Parsons, Andrew G. & Wilkinson, Helene J. & Ballantine, Paul W., 2015. "Competing for attention with in-store promotions," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 141-146.
    14. H. Neil Geismar & Milind Dawande & B. P. S. Murthi & Chelliah Sriskandarajah, 2015. "Maximizing Revenue Through Two-Dimensional Shelf-Space Allocation," Production and Operations Management, Production and Operations Management Society, vol. 24(7), pages 1148-1163, July.
    15. Harikesh Nair & Jean-Pierre Dubé & Pradeep Chintagunta, 2005. "Accounting for Primary and Secondary Demand Effects with Aggregate Data," Marketing Science, INFORMS, vol. 24(3), pages 444-460, November.
    16. Guillermo Gallego & Huseyin Topaloglu, 2014. "Constrained Assortment Optimization for the Nested Logit Model," Management Science, INFORMS, vol. 60(10), pages 2583-2601, October.
    17. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    18. Leeflang, Peter S.H. & Parreño Selva, Josefa & Van Dijk, Albert & Wittink, Dick R., 2008. "Decomposing the sales promotion bump accounting for cross-category effects," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 201-214.
    19. Manrai, Ajay K. & Andrews, Rick L., 1998. "Two-stage discrete choice models for scanner panel data: An assessment of process and assumptions," European Journal of Operational Research, Elsevier, vol. 111(2), pages 193-215, December.
    20. Nordfält, Jens & Lange, Fredrik, 2013. "In-store demonstrations as a promotion tool," Journal of Retailing and Consumer Services, Elsevier, vol. 20(1), pages 20-25.
    21. Marcel Corstjens & Peter Doyle, 1981. "A Model for Optimizing Retail Space Allocations," Management Science, INFORMS, vol. 27(7), pages 822-833, July.
    22. Pradeep K. Chintagunta, 1993. "Investigating Purchase Incidence, Brand Choice and Purchase Quantity Decisions of Households," Marketing Science, INFORMS, vol. 12(2), pages 184-208.
    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. Abdelaziz, Fouad Ben & Maddah, Bacel & Flamand, Tülay & Azar, Jimmy, 2024. "Store-Wide space planning balancing impulse and convenience," European Journal of Operational Research, Elsevier, vol. 312(1), pages 211-226.

    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. Bonnet, Céline & Richards, Timothy J., 2016. "Models of Consumer Demand for Differentiated Products," TSE Working Papers 16-741, Toulouse School of Economics (TSE).
    2. Richards, Timothy J. & Gómez, Miguel I. & Pofahl, Geoffrey, 2012. "A Multiple-discrete/Continuous Model of Price Promotion," Journal of Retailing, Elsevier, vol. 88(2), pages 206-225.
    3. Harikesh Nair & Jean-Pierre Dubé & Pradeep Chintagunta, 2005. "Accounting for Primary and Secondary Demand Effects with Aggregate Data," Marketing Science, INFORMS, vol. 24(3), pages 444-460, November.
    4. Guyt, Jonne, 2015. "Consumer choice models on the effect of promotions in retailing," Other publications TiSEM c310f652-d725-4764-aac7-b, Tilburg University, School of Economics and Management.
    5. Allender, William J. & Richards, Timothy J., 2009. "Measures of Brand Loyalty," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49536, Agricultural and Applied Economics Association.
    6. Guang Li & Paat Rusmevichientong & Huseyin Topaloglu, 2015. "The d -Level Nested Logit Model: Assortment and Price Optimization Problems," Operations Research, INFORMS, vol. 63(2), pages 325-342, April.
    7. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
    8. Rui Chen & Hai Jiang, 2020. "Capacitated assortment and price optimization under the nested logit model," Journal of Global Optimization, Springer, vol. 77(4), pages 895-918, August.
    9. Richards, Timothy J. & Acharya, Ram N. & Molina, Ignacio, 2009. "Retail and Wholesale Market Power in Organic Foods," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49329, Agricultural and Applied Economics Association.
    10. Hai Jiang & Xin Qi & He Sun, 2014. "Choice-Based Recommender Systems: A Unified Approach to Achieving Relevancy and Diversity," Operations Research, INFORMS, vol. 62(5), pages 973-993, October.
    11. Woonghee T. Huh & Hongmin Li, 2023. "Product‐line pricing with dual objective of profit and consumer surplus," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1223-1242, April.
    12. Michaela Draganska & Dipak C. Jain, 2006. "Consumer Preferences and Product-Line Pricing Strategies: An Empirical Analysis," Marketing Science, INFORMS, vol. 25(2), pages 164-174, 03-04.
    13. Hongmin Li & Scott Webster & Gwangjae Yu, 2020. "Product Design Under Multinomial Logit Choices: Optimization of Quality and Prices in an Evolving Product Line," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 1011-1025, September.
    14. Yonezawa, Koichi & Richards, Timothy J., 2016. "Competitive Package Size Decisions," Journal of Retailing, Elsevier, vol. 92(4), pages 445-469.
    15. Strauss, Arne K. & Klein, Robert & Steinhardt, Claudius, 2018. "A review of choice-based revenue management: Theory and methods," European Journal of Operational Research, Elsevier, vol. 271(2), pages 375-387.
    16. Xi Chen & Chao Shi & Yining Wang & Yuan Zhou, 2021. "Dynamic Assortment Planning Under Nested Logit Models," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 85-102, January.
    17. Guhl, Daniel, 2019. "Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing," European Journal of Operational Research, Elsevier, vol. 277(2), pages 684-698.
    18. Guillermo Gallego & Haengju Lee, 2020. "Callable products with dependent demands," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(3), pages 185-200, April.
    19. Hekimoğlu, Mustafa & Sevim, Ismail & Aksezer, Çağlar & Durmuş, İpek, 2019. "Assortment optimization with log-linear demand: Application at a Turkish grocery store," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 199-214.
    20. Ronald W. Cotterill & Tirtha Pratim Dhar, 2003. "Oligopoly Pricing with Differentiated Products: The Boston Fluid Milk Market Channel," Food Marketing Policy Center Research Reports 074, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.

    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:inm:ormsom:v:22:y:2020:i:3:p:481-494. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.