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Return Window Decision in A Distribution Channel

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  • Buqing Ma
  • Chenchen Di
  • Lu Hsiao

Abstract

This study investigates a firm's return window decision in a distribution channel. Conventional wisdom posits that compared to a centralized channel, a decentralized channel induces worse services (e.g., a shorter return window) because of double marginalization. We build a model consisting of one manufacturer, one retailer, and consumers who are heterogeneous in their willingness‐to‐pay (WTP) for product quality. Counterintuitively, we find that the return window can be longer in a decentralized channel than in a centralized channel. Furthermore, the return window can decrease along with product quality, which means that high‐quality products can be offered shorter return windows than low‐quality products. When endogenizing product quality, we reveal, contrary to previous findings, that the product quality in a decentralized channel may be higher, even when consumer heterogeneity in product quality follows a uniform distribution. This higher product quality induces a decentralized channel to generate a consumer surplus higher than that of a centralized channel.

Suggested Citation

  • Buqing Ma & Chenchen Di & Lu Hsiao, 2020. "Return Window Decision in A Distribution Channel," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2121-2137, September.
  • Handle: RePEc:bla:popmgt:v:29:y:2020:i:9:p:2121-2137
    DOI: 10.1111/poms.13201
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    1. Jeffrey D. Shulman & Anne T. Coughlan & R. Canan Savaskan, 2010. "Optimal Reverse Channel Structure for Consumer Product Returns," Marketing Science, INFORMS, vol. 29(6), pages 1071-1085, 11-12.
    2. Subhajyoti Bandyopadhyay & Anand A. Paul, 2010. "Equilibrium Returns Policies in the Presence of Supplier Competition," Marketing Science, INFORMS, vol. 29(5), pages 846-857, 09-10.
    3. Mehmet Sekip Altug & Tolga Aydinliyim, 2016. "Counteracting Strategic Purchase Deferrals: The Impact of Online Retailers’ Return Policy Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 18(3), pages 376-392, July.
    4. Economides, Nicholas, 1999. "Quality choice and vertical integration," International Journal of Industrial Organization, Elsevier, vol. 17(6), pages 903-914, August.
    5. Yunchuan Liu & Tony Haitao Cui, 2010. "The Length of Product Line in Distribution Channels," Marketing Science, INFORMS, vol. 29(3), pages 474-482, 05-06.
    6. Jagmohan Raju & Z. John Zhang, 2005. "Channel Coordination in the Presence of a Dominant Retailer," Marketing Science, INFORMS, vol. 24(2), pages 254-262, February.
    7. Hao Wang, 2004. "Do Returns Policies Intensify Retail Competition?," Marketing Science, INFORMS, vol. 23(4), pages 611-613, March.
    8. Abel P. Jeuland & Steven M. Shugan, 1983. "Managing Channel Profits," Marketing Science, INFORMS, vol. 2(3), pages 239-272.
    9. Guangzhi Shang & Bikram P. Ghosh & Michael R. Galbreth, 2017. "Optimal Retail Return Policies with Wardrobing," Production and Operations Management, Production and Operations Management Society, vol. 26(7), pages 1315-1332, July.
    10. Xuanming Su, 2009. "Consumer Returns Policies and Supply Chain Performance," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 595-612, March.
    11. Barry Alan Pasternack, 1985. "Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 4(2), pages 166-176.
    12. Gurnani, Haresh & Sharma, Arun & Grewal, Dhruv, 2010. "Optimal Returns Policy under Demand Uncertainty," Journal of Retailing, Elsevier, vol. 86(2), pages 137-147.
    13. Keith J. Crocker & Paolo Letizia, 2014. "Optimal Policies for Recovering the Value of Consumer Returns," Production and Operations Management, Production and Operations Management Society, vol. 23(10), pages 1667-1680, October.
    14. Kinshuk Jerath & Sang-Hyun Kim & Robert Swinney, 2017. "Product Quality in a Distribution Channel with Inventory Risk," Marketing Science, INFORMS, vol. 36(5), pages 747-761, September.
    15. Mehmet Gümüş & Saibal Ray & Shuya Yin, 2013. "Returns Policies Between Channel Partners for Durable Products," Marketing Science, INFORMS, vol. 32(4), pages 622-643, July.
    16. Hongyan Shi & Yunchuan Liu & Nicholas C. Petruzzi, 2013. "Consumer Heterogeneity, Product Quality, and Distribution Channels," Management Science, INFORMS, vol. 59(5), pages 1162-1176, May.
    17. Jeffrey D. Shulman & Anne T. Coughlan & R. Canan Savaskan, 2009. "Optimal Restocking Fees and Information Provision in an Integrated Demand-Supply Model of Product Returns," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 577-594, December.
    18. Mark Ferguson & V. Daniel R. Guide , Jr. & Gilvan C. Souza, 2006. "Supply Chain Coordination for False Failure Returns," Manufacturing & Service Operations Management, INFORMS, vol. 8(4), pages 376-393, August.
    19. Shmuel S. Oren & Stephen A. Smith & Robert B. Wilson, 1982. "Nonlinear Pricing in Markets with Interdependent Demand," Marketing Science, INFORMS, vol. 1(3), pages 287-313.
    20. Xiaowei Xu, 2009. "Optimal Price and Product Quality Decisions in a Distribution Channel," Management Science, INFORMS, vol. 55(8), pages 1347-1352, August.
    21. Thanh Tran & Haresh Gurnani & Ramarao Desiraju, 2018. "Optimal Design of Return Policies," Marketing Science, INFORMS, vol. 37(4), pages 649-667, August.
    22. V. Daniel R. Guide , Jr. & Gilvan C. Souza & Luk N. Van Wassenhove & Joseph D. Blackburn, 2006. "Time Value of Commercial Product Returns," Management Science, INFORMS, vol. 52(8), pages 1200-1214, August.
    23. Sridhar Moorthy & Kannan Srinivasan, 1995. "Signaling Quality with a Money-Back Guarantee: The Role of Transaction Costs," Marketing Science, INFORMS, vol. 14(4), pages 442-466.
    24. Jeffrey D. Shulman & Anne T. Coughlan & R. Canan Savaskan, 2011. "Managing Consumer Returns in a Competitive Environment," Management Science, INFORMS, vol. 57(2), pages 347-362, February.
    25. V. Padmanabhan & I. P. L. Png, 1997. "Manufacturer's Return Policies and Retail Competition," Marketing Science, INFORMS, vol. 16(1), pages 81-94.
    26. Liang Guo, 2009. "Quality Disclosure Formats in a Distribution Channel," Management Science, INFORMS, vol. 55(9), pages 1513-1526, September.
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    Cited by:

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    2. Lin, Jiaxin & Choi, Tsan-Ming & Kuo, Yong-Hong, 2023. "Will providing return-freight-insurances do more good than harm to dual-channel e-commerce retailers?," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1225-1239.
    3. Bingsheng Liu & Wenwen Zhu & Yinghua Shen & Yuan Chen & Tao Wang & Fengwen Chen & Maggie Wenjing Liu & Shi‐Hao Zhou, 2022. "A study about return policies in the presence of consumer social learning," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2571-2587, June.
    4. Zhu, Guowei & Zhang, Jianxiong & Xing, Enfeng & Han, Danke, 2022. "Pricing and quality decisions with conspicuous consumers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    5. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    6. Mandal, Prasenjit & Basu, Preetam & Saha, Kushal, 2021. "Forays into omnichannel: An online retailer’s strategies for managing product returns," European Journal of Operational Research, Elsevier, vol. 292(2), pages 633-651.
    7. Ramsebner, J. & Haas, R. & Auer, H. & Ajanovic, A. & Gawlik, W. & Maier, C. & Nemec-Begluk, S. & Nacht, T. & Puchegger, M., 2021. "From single to multi-energy and hybrid grids: Historic growth and future vision," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    8. Li, Xiaoxiao & Gao, Jie & Bian, Yiwen, 2023. "Return freight insurance strategies for the online retailer and insurance company," International Journal of Production Economics, Elsevier, vol. 256(C).
    9. Xu, Xiaoping & Hong, Zhaofu & Chen, Yujing & Cheng, T.C.E., 2023. "When is it wise to use artificial intelligence for platform operations considering consumer returns?," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1188-1205.
    10. Guo, Xiongfei & Chen, Jing, 2023. "Manufacturer’s quality improvement and Retailer’s In-store service in the presence of customer returns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    11. Yuyang Tan & Chunxiang Guo & Dong Cai, 2023. "Value‐added service decision and coordination under fresh produce e‐commerce considering order cancelation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2199-2210, June.
    12. Chen, Zhongwei & Fan, Zhi-Ping & Zhao, Xuan, 2021. "Offering return-freight insurance or not: Strategic analysis of an e-seller's decisions," Omega, Elsevier, vol. 103(C).

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