Skip to main content
Log in

Returns Freight Insurance Policy and the Impact from a BOPS Retailer

  • Original Research
  • Published:
Operations Research Forum Aims and scope Submit manuscript

Abstract

This paper studies the “returns freight insurance” (RFI) policy for an e-retailer who faces consumer returns. Under the monopoly case, we find that if the product can satisfy consumers’ tastes with a high possibility (we call it a low mismatch rate in this paper), then the e-retailer inclines to provide a RFI policy for consumers even when the consumer can make a voluntary RFI purchase decision. Under the competition case, we find that the e-retailer’s RFI strategy is not only dependent on the mismatch rate but also on the consumer’s preference for the e-retailer’s RFI policy. When the mismatch rate is sufficiently high, there exists a counterintuitive strategy for the e-retailer regarding the consumer’s preference for RFI. That is, the e-retailer may not offer RFI policy even when the consumer’s preference for such policy is high. Moreover, when the mismatch rate is within a lower range, then the e-retailer can always hold a profit advantage by adopting a RFI policy that conflicts with his rival’s benefit. We also find that the cross-sales effect in the buy-online-pick-up-in-store channel has a negative impact on the e-retailer’s equilibrium price and profit, and the returns handling cost of the e-retiler always hurts his profit under the monopoly situation while makes it possible to increase the profit when the return handling cost is relatively low under the competition situation. Lastly, when the BOPS retailer extends to the omni-channel mode, the proportion of offline consumers influences the e-retailer’s RFI strategy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Notes

  1. http://www.199it.com/archives/1020018.html

  2. https://www.iotone.com/organization/bitkom/o144

  3. http://www.cifnews.com/article/40539

References

  1. Mollenkopf DA, Frankel R, Russo I (2011) Creating value through returns management: exploring the marketing-operations interface. J Oper Manag 29(5):391–403

    Article  Google Scholar 

  2. Fan ZP, Chen ZW (2020) When should the e-tailer offer complimentary return-freight insurance. Int J Prod Econ 107890

  3. Geng S, Li W, Qu X, Chen L (2017) Design for the pricing strategy of return-freight insurance based on online product reviews. Electron Commer Res Appl 25:16–28

    Article  Google Scholar 

  4. Lin J, Zhang J, Cheng TCE (2020) Optimal pricing and return policy and the value of freight insurance for a retailer facing heterogeneous consumers with uncertain product values. Int J Prod Econ 229:107767

  5. Zhao X, Hu S, Meng X (2019) Who should pay for return freight in the online retailing? Retailers or consumers. Electron Commer Res pp 1–26

  6. Gao F, Su X (2016) Omnichannel retail operations with buy-online-and-pick-up-in-store. Manag Sci 63(8):2478–2492

    Article  Google Scholar 

  7. Shi X, Dong C, Cheng T (2018) Does the buy-online-and-pick-up-in-store strategy with pre-orders benefit a retailer with the consideration of returns? Int J Prod Econ 206:134–145

    Article  Google Scholar 

  8. Gallino S, Moreno A (2014) Integration of online and offline channels in retail: The impact of sharing reliable inventory availability information. Manag Sci 60(6):1434–1451

    Article  Google Scholar 

  9. Ofek E, Katona Z, Sarvary M (2011) “Bricks and clicks”: The impact of product returns on the strategies of multichannel retailers. Mark Sci 30(1):42–60

    Article  Google Scholar 

  10. McWilliams B (2012) Money-back guarantees: helping the low-quality retailer. Manag Sci 58(8):1521–1524

    Article  Google Scholar 

  11. Yang H, Chen J, Chen X, Chen B (2017) The impact of customer returns in a supply chain with a common retailer. Eur J Oper Res 256(1):139–150

    Article  Google Scholar 

  12. Chen B, Chen J (2017) When to introduce an online channel, and offer money back guarantees and personalized pricing? Eur J Oper Res 257(2):614–624

    Article  Google Scholar 

  13. Li W, Chen J, Liang G, Chen B (2018) Money-back guarantee and personalized pricing in a Stackelberg manufacturer’s dual-channel supply chain. Int J Prod Econ 197:84–98

    Article  Google Scholar 

  14. Li T, Xie J, Liu X (2019) Consumer return policies in presence of a p2p market. Omega 102092

  15. Huang Z, Feng T (2020) Money-back guarantee and pricing decision with retailer’s store brand. J Retail Consum Serv 52:101897

  16. Chen J, Grewal R (2013) Competing in a supply chain via full-refund and no-refund customer returns policies. Int J Prod Econ 146(1):246–258

    Article  Google Scholar 

  17. Chen J, Chen B (2016) Competing with customer returns policies. Int J Prod Res 54(7):2093–2107

    Article  Google Scholar 

  18. Chen J, Chen B, Li W (2018) Who should be pricing leader in the presence of customer returns? Eur J Oper Res 265(2):735–747

    Article  Google Scholar 

  19. Letizia P, Pourakbar M, Harrison T (2018) The impact of consumer returns on the multichannel sales strategies of manufacturers. Prod Oper Manag 27(2):323–349

    Article  Google Scholar 

  20. Ülkü MA, Gürler Ü (2018) The impact of abusing return policies: a newsvendor model with opportunistic consumers. Int J Prod Econ 203:124–133

    Article  Google Scholar 

  21. Wang C, Chen J, Chen X (2019) The impact of customer returns and bidirectional option contract on refund price and order decisions. Eur J Oper Res 274(1):267–279

    Article  Google Scholar 

  22. Choi TM (2013) Optimal return service charging policy for a fashion mass customization program. Serv Sci 5(1):56–68

    Article  Google Scholar 

  23. Liu J, Xiao T, Tian C, Wang H (2018) Ordering and returns handling decisions and coordination in a supply chain with demand uncertainty. Int Trans Oper Res

  24. Su X (2009) Consumer returns policies and supply chain performance. Manuf Serv Oper Manag 11(4):595–612

    Article  Google Scholar 

  25. Xiao T, Shi K, Yang D (2010) Coordination of a supply chain with consumer return under demand uncertainty. Int J Prod Econ 124(1):171–180

    Article  Google Scholar 

  26. Muir WA, Griffis SE, Whipple JM (2019) A simulation model of multi-echelon retail inventory with cross-channel product returns. J Bus Logist

  27. Bell DR, Gallino S, Moreno A (2014) How to win in an omnichannel world. MIT Sloan Manag Rev 56(1):45

    Google Scholar 

  28. Chopra S (2016) How omni-channel can be the future of retailing. Decision 43(2):135–144

    Article  Google Scholar 

  29. Akturk MS, Ketzenberg M, Heim GR (2018) Assessing impacts of introducing ship-to-store service on sales and returns in omnichannel retailing: A data analytics study. J Oper Manag 61:15–45

    Article  Google Scholar 

  30. Cao J, So KC, Yin S (2016) Impact of an “online-to-store” channel on demand allocation, pricing and profitability. Eur J Oper Res 248(1):234–245

    Article  Google Scholar 

  31. Hu M, Xu X, Xue W, Yang Y (2018) Demand pooling in omnichannel operations

  32. Jin D, Caliskan-Demirag O, Chen FY, Huang M (2019) Omni-channel retailers’ return policy strategies in the presence of competition. Int J Prod Econ 107595

  33. Zhang P, He Y, Zhao X (2019) “Preorder-online, pickup-in-store” strategy for a dual-channel retailer. Transportation Research Part E: Logistics and Transportation Review 122:27–47

    Article  Google Scholar 

  34. Ansari A, Mela CF, Neslin SA (2008) Customer channel migration. J Mark Res 45(1):60–76

    Article  Google Scholar 

  35. Bijmolt TH, Broekhuis M, de Leeuw S, Hirche C, Rooderkerk RP, Sousa R, Zhu SX (2019) Challenges at the marketing–operations interface in omni-channel retail environments. Journal of Business Research, Forthcoming

  36. Xu X, Jackson JE (2019) Investigating the influential factors of return channel loyalty in omni-channel retailing. Int J Prod Econ 216:118–132

    Article  Google Scholar 

  37. Zhang Z, Luo X, Kwong CK, Tang J, Yu Y (2019) Return and refund policy for product and core service bundling in the dual-channel supply chain. Int Trans Oper Res 26(1):223–247

    Article  Google Scholar 

  38. Gao F, Su X (2016) Online and offline information for omnichannel retailing. Manuf Serv Oper Manag 19(1):84–98

    Article  Google Scholar 

  39. Zhang J, Xu Q, He Y (2018) Omnichannel retail operations with consumer returns and order cancellation. Transportation Research Part E: Logistics and Transportation Review 118:308–324

    Article  Google Scholar 

  40. Banker RD, Khosla I, Sinha KK (1998) Quality and competition. Manag Sci 44(9):1179–1192

    Article  Google Scholar 

  41. Lai G, Liu H, Xiao W (2018) ‘Fulfilled by amazon’: A strategic perspective of competition at the e-commerce platform. Available at SSRN 3270958

  42. Yao DQ, Liu JJ (2005) Competitive pricing of mixed retail and e-tail distribution channels. Omega 33(3):235–247

    Article  Google Scholar 

  43. Ai X, Chen J, Zhao H, Tang X (2012) Competition among supply chains: implications of full returns policy. Int J Prod Econ 139(1):257–265

    Article  Google Scholar 

  44. Xia Y, Xiao T, Zhang GP (2019) Service investment and channel structure decisions in competing supply chains. Serv Sci 11(1):57–74

    Article  Google Scholar 

  45. Xiao T, Yang D (2008) Price and service competition of supply chains with risk-averse retailers under demand uncertainty. Int J Prod Econ 114(1):187–200

    Article  Google Scholar 

  46. Grewal D, Monroe K, Krishnan R (1998) The effects of price comparison advertising on buyers’ perceptions of acquisition value and transaction value. J Mark 62:46–59. https://doi.org/10.2307/1252160

    Article  Google Scholar 

  47. Xu X, Jackson JE (2019) Examining customer channel selection intention in the omni-channel retail environment. Int J Prod Econ 208:434–445

    Article  Google Scholar 

Download references

Funding

This paper was funded by the National Natural Science Foundation of China (grant numbers 71501060, 71502049, 71871110), and the Postgraduate Research & Practice Innovation Program of Jiangsu Province (grant number KYCX19_1432).

Author information

Authors and Affiliations

Authors

Contributions

Writing–original draft preparation was done by Jian Liu; Writing–review and editing was done by Junxia He; Model–calculating and numerical simulation were done by Fan Yang; Data collection was done by Xia Zhao; Funding acquisition was done by Jian Liu, Xia Zhao, and Junxia He.

Corresponding author

Correspondence to Jian Liu.

Ethics declarations

Conflicts of Interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

He, J., Liu, J., Yang, F. et al. Returns Freight Insurance Policy and the Impact from a BOPS Retailer. Oper. Res. Forum 3, 7 (2022). https://doi.org/10.1007/s43069-022-00120-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s43069-022-00120-4

Keywords

Navigation