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Pricing and rebate strategies for an e-shop with a cashback website

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  • Zhou, Yong-Wu
  • Cao, Bin
  • Tang, Qinshen
  • Zhou, Wenhui

Abstract

A cashback website (CW) is a type of reward website that pays its members a rebate when they purchase goods via affiliate links. The website receives a commission from an e-shop when a customer makes a purchase by following a link instead of visiting the e-shop directly. With the rapid rise in e-shops, CWs are becoming increasingly popular. However, these CWs’ value to e-shops is still somewhat unclear, in both theory and practice. To clarify the process, we consider a system in which an e-shop sells a product to consumers and a CW provides the link to the e-shop. Based on consumers’ utility, we develop a model to study the value of the CW to the e-shop in both centralized and decentralized settings, and demonstrate and compare the two parties’ optimal strategies and their corresponding profits in both settings. Our main findings are as follows: (1) The CW can always bring the e-shop more profits, whether the setting is centralized or decentralized, by playing the role of price discrimination. (2) In contrast to the centralized setting, the decentralized setting does not lead to a higher sales price; in many cases, it offers a lower sales price, which is opposite of the case typically seen in traditional supply chain literature. (3) Compared with the decentralized setting, the centralized setting does not allow all consumers to have more consumer surplus—which, again, differs from traditional supply chain literature—but rather yields more total profit to the system, which implies that it is better for the e-shop to have its own CW than to use a third-party CW. (4) The degree of decrease in utility for consumers who buy via the CW significantly influences both parties’ pricing strategies. More interesting is that a smaller degree of decrease in utility for consumers who buy via the CW is always beneficial to the e-shop, but may be detrimental to the CW.

Suggested Citation

  • Zhou, Yong-Wu & Cao, Bin & Tang, Qinshen & Zhou, Wenhui, 2017. "Pricing and rebate strategies for an e-shop with a cashback website," European Journal of Operational Research, Elsevier, vol. 262(1), pages 108-122.
    • Handle: RePEc:eee:ejores:v:262:y:2017:i:1:p:108-122
    DOI: 10.1016/j.ejor.2017.03.037
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    as
    1. Qiang Lu & Sridhar Moorthy, 2007. "Coupons Versus Rebates," Marketing Science, INFORMS, vol. 26(1), pages 67-82, 01-02.
    2. Arcelus, F.J. & Kumar, Satyendra & Srinivasan, G., 2007. "Pricing and rebate policies for the newsvendor problem in the presence of a stochastic redemption rate," International Journal of Production Economics, Elsevier, vol. 107(2), pages 467-482, June.
    3. Byong-Duk Rhee, 1996. "Consumer Heterogeneity and Strategic Quality Decisions," Management Science, INFORMS, vol. 42(2), pages 157-172, February.
    4. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    5. Xing, Dahai & Liu, Tieming, 2012. "Sales effort free riding and coordination with price match and channel rebate," European Journal of Operational Research, Elsevier, vol. 219(2), pages 264-271.
    6. Narasimhan, Chakravarthi, 1988. "Competitive Promotional Strategies," The Journal of Business, University of Chicago Press, vol. 61(4), pages 427-449, October.
    7. Robert C. Blattberg & Kenneth J. Wisniewski, 1989. "Price-Induced Patterns of Competition," Marketing Science, INFORMS, vol. 8(4), pages 291-309.
    8. Gerstner, Eitan & Hess, James D & Holthausen, Duncan M, 1994. "Price Discrimination through a Distribution Channel: Theory and Evidence," American Economic Review, American Economic Association, vol. 84(5), pages 1437-1445, December.
    9. Jean Tirole, 1988. "The Theory of Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200716, December.
    10. Rajiv Lal, 1990. "Improving Channel Coordination Through Franchising," Marketing Science, INFORMS, vol. 9(4), pages 299-318.
    11. Wei-yu Kevin Chiang & Dilip Chhajed & James D. Hess, 2003. "Direct Marketing, Indirect Profits: A Strategic Analysis of Dual-Channel Supply-Chain Design," Management Science, INFORMS, vol. 49(1), pages 1-20, January.
    12. K. Sridhar Moorthy, 1988. "Product and Price Competition in a Duopoly," Marketing Science, INFORMS, vol. 7(2), pages 141-168.
    13. Wang, Qinan & Chay, Yiowmin & Wu, Zhang, 2011. "Streamlining inventory flows with time discounts to improve the profits of a decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 132(2), pages 230-239, August.
    14. Arcelus, F.J. & Gor, Ravi & Srinivasan, G., 2012. "Price, rebate and order quantity decisions in a newsvendor framework with rebate-dependent recapture of lost sales," International Journal of Production Economics, Elsevier, vol. 140(1), pages 473-482.
    15. Wong, W.K. & Qi, J. & Leung, S.Y.S., 2009. "Coordinating supply chains with sales rebate contracts and vendor-managed inventory," International Journal of Production Economics, Elsevier, vol. 120(1), pages 151-161, July.
    16. Bernstein, Fernando & Song, Jing-Sheng & Zheng, Xiaona, 2008. ""Bricks-and-mortar" vs. "clicks-and-mortar": An equilibrium analysis," European Journal of Operational Research, Elsevier, vol. 187(3), pages 671-690, June.
    17. Terry A. Taylor, 2002. "Supply Chain Coordination Under Channel Rebates with Sales Effort Effects," Management Science, INFORMS, vol. 48(8), pages 992-1007, August.
    18. Wujin Chu & Preyas S. Desai, 1995. "Channel Coordination Mechanisms for Customer Satisfaction," Marketing Science, INFORMS, vol. 14(4), pages 343-359.
    19. Barry Alan Pasternack, 2008. "Commentary—Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 27(1), pages 131-132, 01-02.
    20. Barry Alan Pasternack, 2008. "Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 27(1), pages 133-140, 01-02.
    21. Arcelus, F.J. & Kumar, Satyendra & Srinivasan, G., 2008. "Pricing and rebate policies in the two-echelon supply chain with asymmetric information under price-dependent, stochastic demand," International Journal of Production Economics, Elsevier, vol. 113(2), pages 598-618, June.
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    2. Caiquan Duan & Guoyi Xiu & Fengmin Yao, 2019. "Multi-Period E-Closed-Loop Supply Chain Network Considering Consumers’ Preference for Products and AI-Push," Sustainability, MDPI, vol. 11(17), pages 1-32, August.
    3. Xu, Lina & Roy, Abhijit, 2022. "Cashback as cash forward: The serial mediating effect of time/effort and money savings," Journal of Business Research, Elsevier, vol. 149(C), pages 30-37.
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    5. Ata Allah Taleizadeh & Alireza Mahmoudzade Varzi & Alireza Amjadian & Mahsa Noori-daryan & Ioannis Konstantaras, 2023. "How cash-back strategy affect sale rate under refund and customers’ credit," Operational Research, Springer, vol. 23(1), pages 1-69, March.
    6. Pavol Kita & Zdenek Szczyrba & David Fiedor & Ales Letal, 2018. "Recognition of business risks when purchasing goods on the Internet using GIS: experience from Slovakia," Electronic Commerce Research, Springer, vol. 18(3), pages 647-663, September.
    7. Christino, Juliana Maria Magalhães & Silva, Thaís Santos & Cardozo, Erico Aurélio Abreu & de Pádua Carrieri, Alexandre & de Paiva Nunes, Patricia, 2019. "Understanding affiliation to cashback programs: An emerging technique in an emerging country," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 78-86.
    8. Lifeng Mu & Xin Tang & Vijayan Sugumaran & Wei Xu & Xiangyang Sun, 2023. "Optimal rebate strategy for an online retailer with a cashback platform: commission-driven or marketing-based?," Electronic Commerce Research, Springer, vol. 23(1), pages 475-510, March.
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