IDEAS home Printed from https://ideas.repec.org/a/pal/jorapm/v16y2017i3d10.1057_s41272-016-0060-2.html
   My bibliography  Save this article

Threshold discounts comparison: All-unit or incremental?

Author

Listed:
  • Thunyarat Amornpetchkul

    (National Institute of Development Administration)

Abstract

An increasingly ubiquitous discount format in retailing that is taking over traditional price cuts is threshold discount, under which a price reduction is awarded to a purchase that meets a minimum quantity or minimum spending requirement. One of the most frequently used forms of threshold discounts is the all-unit discount, where a discount applies to all units of the promoted item that the customer purchases as long as the total basket size reaches the predetermined minimum requirement. On the other hand, under another type of threshold discounts known as incremental discount, the reduced price is granted for only the units purchased beyond the threshold; the customer still pays the full price for the first units up to the threshold. In this paper, we are interested in comparing the effectiveness of using all-unit discounts and incremental discounts in a retail setting. We consider a retailer selling to a market of heterogenous consumers, whose purchase decisions are modeled and analyzed at the individual customer level. The optimal discount terms and the seller’s profits when using the all-unit and incremental discounts are investigated under different market scenarios. We show that when the discount terms can be fully optimized, the incremental discount is always more profitable to the retailer than the all-unit discount. Furthermore, in many cases, the resulting consumer utility as well as the social welfare is also greater under the incremental discount than under other discount schemes. Our study suggests that the incremental discount, while not currently popular in retailing, is in fact a very profitable and efficient retail pricing mechanism that deserves more attention.

Suggested Citation

  • Thunyarat Amornpetchkul, 2017. "Threshold discounts comparison: All-unit or incremental?," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(3), pages 265-294, June.
  • Handle: RePEc:pal:jorapm:v:16:y:2017:i:3:d:10.1057_s41272-016-0060-2
    DOI: 10.1057/s41272-016-0060-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41272-016-0060-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/s41272-016-0060-2?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. Kevin Weng, Z., 1995. "Modeling quantity discounts under general price-sensitive demand functions: Optimal policies and relationships," European Journal of Operational Research, Elsevier, vol. 86(2), pages 300-314, October.
    2. Kim, Kap H. & Hwang, Hark, 1988. "An incremental discount pricing schedule with multiple customers and single price break," European Journal of Operational Research, Elsevier, vol. 35(1), pages 71-79, April.
    3. Chuang, John Chung-I & Sirbu, Marvin A., 1999. "Optimal bundling strategy for digital information goods: network delivery of articles and subscriptions," Information Economics and Policy, Elsevier, vol. 11(2), pages 147-176, July.
    4. 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.
    5. Lorin M. Hitt & Pei-yu Chen, 2005. "Bundling with Customer Self-Selection: A Simple Approach to Bundling Low-Marginal-Cost Goods," Management Science, INFORMS, vol. 51(10), pages 1481-1493, October.
    6. Yang, P. C., 2004. "Pricing strategy for deteriorating items using quantity discount when demand is price sensitive," European Journal of Operational Research, Elsevier, vol. 157(2), pages 389-397, September.
    7. Rachel Chen & Lawrence Robinson, 2012. "Optimal multiple-breakpoint quantity discount schedules for customers with heterogeneous demands: all-unit or incremental?," IISE Transactions, Taylor & Francis Journals, vol. 44(3), pages 199-214.
    8. Jeuland, Abel P & Narasimhan, Chakravarthi, 1985. "Dealing-Temporary Price Cuts-by Seller as a Buyer Discrimination Mechanism," The Journal of Business, University of Chicago Press, vol. 58(3), pages 295-308, July.
    9. Viswanathan, S. & Wang, Qinan, 2003. "Discount pricing decisions in distribution channels with price-sensitive demand," European Journal of Operational Research, Elsevier, vol. 149(3), pages 571-587, September.
    10. Manish Gangwar & Nanda Kumar & Ram C. Rao, 2014. "Consumer Stockpiling and Competitive Promotional Strategies," Marketing Science, INFORMS, vol. 33(1), pages 94-113, January.
    11. Sreya Kolay & Greg Shaffer & Janusz A. Ordover, 2004. "All‐Units Discounts in Retail Contracts," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 13(3), pages 429-459, September.
    12. repec:inm:ormnsc:v:30:y:1984:i:12:p:1524-1539(2 is not listed on IDEAS
    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. Tsai, Jung-Fa, 2007. "An optimization approach for supply chain management models with quantity discount policy," European Journal of Operational Research, Elsevier, vol. 177(2), pages 982-994, March.
    2. Sarmah, S.P. & Acharya, D. & Goyal, S.K., 2006. "Buyer vendor coordination models in supply chain management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 1-15, November.
    3. Qin, Yiyan & Tang, Huanwen & Guo, Chonghui, 2007. "Channel coordination and volume discounts with price-sensitive demand," International Journal of Production Economics, Elsevier, vol. 105(1), pages 43-53, January.
    4. Yu-Jen Lin & Chia-Huei Ho, 2011. "Integrated inventory model with quantity discount and price-sensitive demand," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(1), pages 177-188, July.
    5. Pal, Brojeswar & Sana, Shib Sankar & Chaudhuri, Kripasindhu, 2014. "Joint pricing and ordering policy for two echelon imperfect production inventory model with two cycles," International Journal of Production Economics, Elsevier, vol. 155(C), pages 229-238.
    6. Duan, Lisha & Ventura, José A., 2019. "A Dynamic Supplier Selection and Inventory Management Model for a Serial Supply Chain with a Novel Supplier Price Break Scheme and Flexible Time Periods," European Journal of Operational Research, Elsevier, vol. 272(3), pages 979-998.
    7. Manish Gangwar & Nanda Kumar & Ram C. Rao, 2021. "Pricing Under Dynamic Competition When Loyal Consumers Stockpile," Marketing Science, INFORMS, vol. 40(3), pages 569-588, May.
    8. Heibatolah Sadeghi & Hêriş Golpîra & Faicel Hnaien & Cosimo Magazzino, 2023. "Pricing-inventory model with discrete demand and delivery orders," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(3), pages 119-139.
    9. Konstantin Kogan, 2019. "Discounting revisited: evolutionary perspectives on competition and coordination in a supply chain with multiple retailers," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(1), pages 69-92, March.
    10. Mohammad Reza Gholamian & Mahdi Ebrahimzadeh-Afruzi, 2021. "Credit and discount incentive options for two-level supply chain coordination, under uncertain price-dependent demand," Operational Research, Springer, vol. 21(4), pages 2283-2307, December.
    11. Ponte, Borja & Puche, Julio & Rosillo, Rafael & de la Fuente, David, 2020. "The effects of quantity discounts on supply chain performance: Looking through the Bullwhip lens," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    12. L Lei & Q Wang & C Fan, 2006. "Optimal business policies for a supplier–transporter–buyer channel with a price-sensitive demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(3), pages 281-289, March.
    13. Wang, Huihui & Yu, Yimin & Zhang, Wei & Hua, Zhongsheng, 2019. "Procurement strategies for lost-sales inventory systems with all-units discounts," European Journal of Operational Research, Elsevier, vol. 272(2), pages 539-548.
    14. Demetrios Vakratsas & Frank M. Bass, 2002. "A segment-level hazard approach to studying household purchase timing decisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(1), pages 49-59.
    15. Yang, P. C., 2004. "Pricing strategy for deteriorating items using quantity discount when demand is price sensitive," European Journal of Operational Research, Elsevier, vol. 157(2), pages 389-397, September.
    16. Li, Xiuhui & Wang, Qinan, 2007. "Coordination mechanisms of supply chain systems," European Journal of Operational Research, Elsevier, vol. 179(1), pages 1-16, May.
    17. Shin-yi Wu & Lorin M. Hitt & Pei-yu Chen & G. Anandalingam, 2008. "Customized Bundle Pricing for Information Goods: A Nonlinear Mixed-Integer Programming Approach," Management Science, INFORMS, vol. 54(3), pages 608-622, March.
    18. Huang, Yeu-Shiang & Su, Wei-Jun & Lin, Zu-Liang, 2011. "A study on lead-time discount coordination for deteriorating products," European Journal of Operational Research, Elsevier, vol. 215(2), pages 358-366, December.
    19. Hsieh, Chung-Chi & Liu, Yu-Te & Wang, Wei-Ming, 2010. "Coordinating ordering and pricing decisions in a two-stage distribution system with price-sensitive demand through short-term discounting," European Journal of Operational Research, Elsevier, vol. 207(1), pages 142-151, November.
    20. Yang, Shuai & Hong, Ki-sung & Lee, Chulung, 2014. "Supply chain coordination with stock-dependent demand rate and credit incentives," International Journal of Production Economics, Elsevier, vol. 157(C), pages 105-111.

    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:jorapm:v:16:y:2017:i:3:d:10.1057_s41272-016-0060-2. 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.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.