IDEAS home Printed from https://ideas.repec.org/a/ags/ifaamr/266409.html
   My bibliography  Save this article

The effects of price promotion on relative virtue and vice food products

Author

Listed:
  • Parreño-Selva, Josefa
  • Mas-Ruiz, Francisco J.
  • Ruiz-Conde, Enar

Abstract

Retailers use price promotion of light and regular products, but not all of these products are perceived as relative virtues and vices, respectively. This paper aims to identify whether consumers distinguish between the two product categories. Survey data is used to distinguish between each product category, and identifies low-fat milk as a light product that gives both immediate and delayed rewards. Daily scanner data from a hypermarket supports the effects of price promotions on sales within and between product categories, as expected. We expect that, (1) due to these light products representing more enduring involvement, demand is less price sensitive compared to demand for regular products; (2) as nonimpulse purchase products, price promotions of light products cannibalize the sales of other light products; and (3) the loss of light product benefits associated with switching means that price promotions of light products hurt regular product sales more than vice versa.

Suggested Citation

  • Parreño-Selva, Josefa & Mas-Ruiz, Francisco J. & Ruiz-Conde, Enar, 2017. "The effects of price promotion on relative virtue and vice food products," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(5).
  • Handle: RePEc:ags:ifaamr:266409
    DOI: 10.22004/ag.econ.266409
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/266409/files/ifamr2016.0109.pdf
    Download Restriction: no

    File URL: https://ageconsearch.umn.edu/record/266409/files/ifamr2016.0109.pdf?subformat=pdfa
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.266409?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. Robert C. Blattberg & Richard Briesch & Edward J. Fox, 1995. "How Promotions Work," Marketing Science, INFORMS, vol. 14(3_supplem), pages 122-132.
    2. Hoch, Stephen J & Loewenstein, George F, 1991. "Time-Inconsistent Preferences and Consumer Self-Control," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 492-507, March.
    3. Klaus Wertenbroch, 1998. "Consumption Self-Control by Rationing Purchase Quantities of Virtue and Vice," Marketing Science, INFORMS, vol. 17(4), pages 317-337.
    4. Harald J. van Heerde & Peter S. H. Leeflang & Dick R. Wittink, 2002. "How Promotions Work: Scan Pro-Based Evolutionary Model Building," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 54(3), pages 198-220, July.
    5. 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.
    6. Harald J. van Heerde & Peter S. H. Leeflang & Dick R. Wittink, 2004. "Decomposing the Sales Promotion Bump with Store Data," Marketing Science, INFORMS, vol. 23(3), pages 317-334, December.
    7. 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.
    8. Jean-Noël Kapferer & Gilles Laurent, 1985. "Measuring consumer involvement profiles," Post-Print hal-00786781, HAL.
    9. Trenton G. Smith, 2004. "The McDonald’s Equilibrium. Advertising, empty calories, and the endogenous determination of dietary preferences," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 23(3), pages 383-413, December.
    10. Huyghe, Elke & Van Kerckhove, Anneleen, 2013. "Can fat taxes and package size restrictions stimulate healthy food choices?," International Journal of Research in Marketing, Elsevier, vol. 30(4), pages 421-423.
    11. Mittal, Banwari & Lee, Myung-Soo, 1989. "A causal model of consumer involvement," Journal of Economic Psychology, Elsevier, vol. 10(3), pages 363-389, November.
    12. E. Huyghe & A. Van Kerckhove, 2013. "Can Fat Taxes and Package Size Restrictions Stimulate Healthy Food Choices?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/847, Ghent University, Faculty of Economics and Business Administration.
    13. Peter S.H. Leeflang & Harald J. van Heerde & Dick Wittink, 2002. "How Promotions Work: SCAN*PRO-Based Evolutionary Model Building," Yale School of Management Working Papers ysm292, Yale School of Management.
    14. van Doorn, Jenny & Verhoef, Peter C., 2011. "Willingness to pay for organic products: Differences between virtue and vice foods," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 167-180.
    Full references (including those not matched with items on IDEAS)

    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. Leeflang, Peter, 2011. "Paving the way for “distinguished marketing”," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 76-88.
    2. Neeraj Arora & Ty Henderson, 2007. "Embedded Premium Promotion: Why It Works and How to Make It More Effective," Marketing Science, INFORMS, vol. 26(4), pages 514-531, 07-08.
    3. Gázquez-Abad, Juan Carlos & Martínez-López, Francisco J., 2016. "Understanding the impact of store flyers on purchase behaviour: An empirical analysis in the context of Spanish households," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 263-273.
    4. Aschemann-Witzel, Jessica & Stangherlin, Isadora Do Carmo, 2021. "Upcycled by-product use in agri-food systems from a consumer perspective: A review of what we know, and what is missing," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    5. Evgeny A. Antipov & Elena B. Pokryshevskaya, 2020. "Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(5), pages 355-364, October.
    6. 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.
    7. Weber, Anett & Steiner, Winfried J., 2021. "Modeling price response from retail sales: An empirical comparison of models with different representations of heterogeneity," European Journal of Operational Research, Elsevier, vol. 294(3), pages 843-859.
    8. Dawes, John G., 2012. "Brand-Pack Size Cannibalization Arising from Temporary Price Promotions," Journal of Retailing, Elsevier, vol. 88(3), pages 343-355.
    9. Philipp Aschersleben & Winfried J. Steiner, 2022. "A semiparametric approach to estimating reference price effects in sales response models," Journal of Business Economics, Springer, vol. 92(4), pages 591-643, May.
    10. van Donselaar, K.H. & Peters, J. & de Jong, A. & Broekmeulen, R.A.C.M., 2016. "Analysis and forecasting of demand during promotions for perishable items," International Journal of Production Economics, Elsevier, vol. 172(C), pages 65-75.
    11. Ma, Shaohui & Fildes, Robert, 2017. "A retail store SKU promotions optimization model for category multi-period profit maximization," European Journal of Operational Research, Elsevier, vol. 260(2), pages 680-692.
    12. McColl, Rod & Macgilchrist, Renaud & Rafiq, Shuddhasattwa, 2020. "Estimating cannibalizing effects of sales promotions: The impact of price cuts and store type," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    13. Naragain Phumchusri & Warot Kosawanitchakarn & Sirawich Chawanapranee & Sirawish Srimook, 2023. "Evaluating promotional pricing effectiveness using convenience store daily sales data," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(5), pages 362-373, October.
    14. O'Cass, A., 2000. "An assessment of consumers product, purchase decision, advertising and consumption involvement in fashion clothing," Journal of Economic Psychology, Elsevier, vol. 21(5), pages 545-576, October.
    15. Kim, Joon Ho & Kang, Kyung Ho, 2018. "The effect of promotion on gaming revenue: A study of the US casino industry," Tourism Management, Elsevier, vol. 65(C), pages 317-326.
    16. Kurt A. Jetta & Erick W. Rengifo, 2009. "Improved Baseline Sales," Fordham Economics Discussion Paper Series dp2009-02, Fordham University, Department of Economics.
    17. Bernhard Baumgartner & Daniel Guhl & Thomas Kneib & Winfried J. Steiner, 2018. "Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 837-873, October.
    18. Roose, Gudrun & Van Kerckhove, Anneleen & Huyghe, Elke, 2017. "Honey they shrank the food! An integrative study of the impact of food granularity and its operationalization mode on consumption," Journal of Business Research, Elsevier, vol. 75(C), pages 210-220.
    19. Bogomolova, Svetlana & Dunn, Steven & Trinh, Giang & Taylor, Jennifer & Volpe, Richard J., 2015. "Price promotion landscape in the US and UK: Depicting retail practice to inform future research agenda," Journal of Retailing and Consumer Services, Elsevier, vol. 25(C), pages 1-11.
    20. Huber, Jakob & Stuckenschmidt, Heiner, 2020. "Daily retail demand forecasting using machine learning with emphasis on calendric special days," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1420-1438.

    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:ags:ifaamr:266409. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ifamaea.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.