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Pricing for different return policies in an online marketplace considering appeasement during a post-return out-of-stock

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  • Rezaei Kalantary, Mina
  • Hejazi, Seyed Reza
  • Khosroshahi, Hossein

Abstract

No one can cast a shadow on the fact that returning a product is an integral part of any online retailing business. Thus, a well-designed return policy plays a pivotal role. This paper suggests a new formulation for the utility function applying to return policies enjoying product exchange scenarios. To use this proposed model, we extract four scenarios from some policies like time lenient return policy; monetary lenient return policy; exchange; and appeasement, which is paid during an out-of-stock that may occur when the customer returns the product. We consider a ratio that measures the effect of returning time duration on customer satisfaction to demonstrate the importance of the time leniency policy. Besides, we implement three notations to calculate the value of appeasement (financial compensation), taking place when an Out-Of-Stock happens in the process of returning the product. Models were formulated for an online retailing platform, including a retailer; an online marketplace; and a customer. After solving all mathematical models, formulated as a two-staged game theory, we extract that the profit of the online marketplace is twice more than the retailer in all scenarios, regardless of the value of the parameters. In addition, as we have considered the partial money-back guarantee in the fourth scenario, the results show that the value of the partial money-back guarantee has no impact on the profit of both the retailer and the marketplace since the price neutralizes this impact. Moreover, we have found out that the profit value of the retailer when he faces out-of-stock and chooses to pay financial compensation to the customer is so tight compared to the scenario in which he decides to supply the product. We illustrate the figures and depict that there are parameters that can make a difference rather than the scenario only.

Suggested Citation

  • Rezaei Kalantary, Mina & Hejazi, Seyed Reza & Khosroshahi, Hossein, 2023. "Pricing for different return policies in an online marketplace considering appeasement during a post-return out-of-stock," International Journal of Production Economics, Elsevier, vol. 266(C).
  • Handle: RePEc:eee:proeco:v:266:y:2023:i:c:s0925527323002712
    DOI: 10.1016/j.ijpe.2023.109039
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    References listed on IDEAS

    as
    1. Oghazi, Pejvak & Karlsson, Stefan & Hellström, Daniel & Hjort, Klas, 2018. "Online purchase return policy leniency and purchase decision: Mediating role of consumer trust," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 190-200.
    2. Bruce McWilliams, 2012. "Money-Back Guarantees: Helping the Low-Quality Retailer," Management Science, INFORMS, vol. 58(8), pages 1521-1524, August.
    3. Yan, Ruiliang & Pei, Zhi, 2019. "Return policies and O2O coordination in the e-tailing age," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 314-321.
    4. Xu, Senyu & Tang, Huajun & Lin, Zhijun & Lu, Jing, 2022. "Pricing and sales-effort analysis of dual-channel supply chain with channel preference, cross-channel return and free riding behavior based on revenue-sharing contract," International Journal of Production Economics, Elsevier, vol. 249(C).
    5. Li, Guo & Li, Lin & Sethi, Suresh P. & Guan, Xu, 2019. "Return strategy and pricing in a dual-channel supply chain," International Journal of Production Economics, Elsevier, vol. 215(C), pages 153-164.
    6. Zhang, Juzhi & Xu, Qingyun & He, Yi, 2018. "Omnichannel retail operations with consumer returns and order cancellation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 308-324.
    7. Janakiraman, Narayan & Syrdal, Holly A. & Freling, Ryan, 2016. "The Effect of Return Policy Leniency on Consumer Purchase and Return Decisions: A Meta-analytic Review," Journal of Retailing, Elsevier, vol. 92(2), pages 226-235.
    8. Yang, Wenjuan & Zhang, Jiantong & Yan, Hong, 2021. "Impacts of online consumer reviews on a dual-channel supply chain," Omega, Elsevier, vol. 101(C).
    9. Chen, Jing & Bell, Peter C., 2012. "Implementing market segmentation using full-refund and no-refund customer returns policies in a dual-channel supply chain structure," International Journal of Production Economics, Elsevier, vol. 136(1), pages 56-66.
    10. Miao Wang & HongJian Qu, 2017. "Review of the Research on the Impact of Online Shopping Return Policy on Consumer Behavior," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 6(2), pages 15-21, October.
    11. Huseyn Abdulla & James D. Abbey & Michael Ketzenberg, 2022. "How consumers value retailer's return policy leniency levers: An empirical investigation," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1719-1733, April.
    12. Yang, Lu & Li, Xiangyong & Xia, Ye & Aneja, Y.P., 2023. "Returns operations in omnichannel retailing with buy-online-and-return-to-store," Omega, Elsevier, vol. 119(C).
    13. Rokonuzzaman, Md & Iyer, Pramod & Harun, Ahasan, 2021. "Return policy, No joke: An investigation into the impact of a retailer's return policy on consumers' decision making," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    14. Ren, Minglun & Liu, Jiqiong & Feng, Shuai & Yang, Aifeng, 2021. "Pricing and return strategy of online retailers based on return insurance," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    15. Li, Tingting & Xie, Jinxing & Liu, Xin, 2020. "Consumer return policies in presence of a P2P market," Omega, Elsevier, vol. 97(C).
    16. Sun, Miao & Chen, Jing & Tian, Ye & Yan, Yufei, 2021. "The impact of online reviews in the presence of customer returns," International Journal of Production Economics, Elsevier, vol. 232(C).
    17. Radhi, Mohannad & Zhang, Guoqing, 2019. "Optimal cross-channel return policy in dual-channel retailing systems," International Journal of Production Economics, Elsevier, vol. 210(C), pages 184-198.
    18. Fan, Huirong & Khouja, Moutaz & Zhou, Jing, 2022. "Design of win-win return policies for online retailers," European Journal of Operational Research, Elsevier, vol. 301(2), pages 675-693.
    19. Javed, Muhammad Kashif & Wu, Min, 2020. "Effects of online retailer after delivery services on repurchase intention: An empirical analysis of customers’ past experience and future confidence with the retailer," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    20. K. Sridhar Moorthy, 1988. "Product and Price Competition in a Duopoly," Marketing Science, INFORMS, vol. 7(2), pages 141-168.
    21. Goedhart, Joost & Haijema, René & Akkerman, Renzo, 2023. "Modelling the influence of returns for an omni-channel retailer," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1248-1263.
    22. Son, Junghwa & Kang, Ji Hye & Jang, Sungha, 2019. "The effects of out-of-stock, return, and cancellation amounts on the order amounts of an online retailer," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 421-427.
    23. Wang, Lisha & Chen, Jing & Song, Huaming, 2021. "Marketplace or reseller? Platform strategy in the presence of customer returns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    24. Chen, Bintong & Chen, Jing, 2017. "When to introduce an online channel, and offer money back guarantees and personalized pricing?," European Journal of Operational Research, Elsevier, vol. 257(2), pages 614-624.
    25. Huang, Zongsheng & Feng, Ting, 2020. "Money-back guarantee and pricing decision with retailer's store brand," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    26. Li, Yiming & Li, Gang & Tayi, Giri Kumar & Cheng, T.C.E., 2021. "Return shipping insurance: Free versus for-a-fee?," International Journal of Production Economics, Elsevier, vol. 235(C).
    27. Xiong, Hui & Liu, Jie, 2023. "Return insurance in a competitive market: Benefiting the high-quality or low-quality retailer?," International Journal of Production Economics, Elsevier, vol. 255(C).
    28. Qiu, Ruozhen & Ma, Lin & Sun, Minghe, 2023. "A robust omnichannel pricing and ordering optimization approach with return policies based on data-driven support vector clustering," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1337-1354.
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