IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v215y2019icp153-164.html
   My bibliography  Save this article

Return strategy and pricing in a dual-channel supply chain

Author

Listed:
  • Li, Guo
  • Li, Lin
  • Sethi, Suresh P.
  • Guan, Xu

Abstract

This study investigates the strategic effect of return policies in a dual-channel supply chain, in which a manufacturer can sell products directly to end customers and indirectly via an independent retailer. The manufacturer decides whether to implement a return policy in either the direct or indirect channel, or in both channels. When the return policy is provided, the cost of returned products has to be covered by the corresponding channel. We consider four possible strategies, including full refund in the direct channel only, full refund in the indirect channel only, full refund in both channels, and no refund in both channels. Given the equilibrium pricing strategies of firms, the preferences of firms over different strategies are determined by comparisons between the anticipated return rate of customers and their perceived value of the return policy. The manufacturer prefers the full-refund policy in both channels when the return rate of the customer is low. Otherwise, the dominant strategy for the manufacturer is the no-refund policy in both channels. The retailer benefits more from the full-refund policy in the indirect channel alone when the return rate is low; otherwise, the retailer prefers the full-refund policy in the direct channel only.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:proeco:v:215:y:2019:i:c:p:153-164
    DOI: 10.1016/j.ijpe.2017.06.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527317302049
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2017.06.031?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. Yan, Ruiliang & Cao, Zixia, 2017. "Product returns, asymmetric information, and firm performance," International Journal of Production Economics, Elsevier, vol. 185(C), pages 211-222.
    2. Mostard, Julien & Teunter, Ruud, 2006. "The newsboy problem with resalable returns: A single period model and case study," European Journal of Operational Research, Elsevier, vol. 169(1), pages 81-96, February.
    3. Chen, Jing & Grewal, Ravneet, 2013. "Competing in a supply chain via full-refund and no-refund customer returns policies," International Journal of Production Economics, Elsevier, vol. 146(1), pages 246-258.
    4. Scott Webster & Z. Kevin Weng, 2000. "A Risk-free Perishable Item Returns Policy," Manufacturing & Service Operations Management, INFORMS, vol. 2(1), pages 100-106, July.
    5. Yalabik, Baris & Petruzzi, Nicholas C. & Chhajed, Dilip, 2005. "An integrated product returns model with logistics and marketing coordination," European Journal of Operational Research, Elsevier, vol. 161(1), pages 162-182, February.
    6. Anil Arya & Brian Mittendorf & David E. M. Sappington, 2007. "The Bright Side of Supplier Encroachment," Marketing Science, INFORMS, vol. 26(5), pages 651-659, 09-10.
    7. Daniel Granot & Shuya Yin, 2005. "On the effectiveness of returns policies in the price‐dependent newsvendor model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(8), pages 765-779, December.
    8. 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.
    9. Hamilton Emmons & Stephen M. Gilbert, 1998. "Note. The Role of Returns Policies in Pricing and Inventory Decisions for Catalogue Goods," Management Science, INFORMS, vol. 44(2), pages 276-283, February.
    10. V. Padmanabhan & I. P. L. Png, 1997. "Manufacturer's Return Policies and Retail Competition," Marketing Science, INFORMS, vol. 16(1), pages 81-94.
    11. Chen, Jing & Bell, Peter C., 2011. "Coordinating a decentralized supply chain with customer returns and price-dependent stochastic demand using a buyback policy," European Journal of Operational Research, Elsevier, vol. 212(2), pages 293-300, July.
    12. Vlachos, Dimitrios & Dekker, Rommert, 2003. "Return handling options and order quantities for single period products," European Journal of Operational Research, Elsevier, vol. 151(1), pages 38-52, November.
    13. Rajiv Lal & Miklos Sarvary, 1999. "When and How Is the Internet Likely to Decrease Price Competition?," Marketing Science, INFORMS, vol. 18(4), pages 485-503.
    14. Cai, Gangshu (George) & Zhang, Zhe George & Zhang, Michael, 2009. "Game theoretical perspectives on dual-channel supply chain competition with price discounts and pricing schemes," International Journal of Production Economics, Elsevier, vol. 117(1), pages 80-96, January.
    15. Seung Ho Yoo & DaeSoo Kim & Myung-Sub Park, 2015. "Pricing and return policy under various supply contracts in a closed-loop supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 53(1), pages 106-126, January.
    16. Dumrongsiri, Aussadavut & Fan, Ming & Jain, Apurva & Moinzadeh, Kamran, 2008. "A supply chain model with direct and retail channels," European Journal of Operational Research, Elsevier, vol. 187(3), pages 691-718, June.
    17. 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.
    18. Terry A. Taylor, 2001. "Channel Coordination Under Price Protection, Midlife Returns, and End-of-Life Returns in Dynamic Markets," Management Science, INFORMS, vol. 47(9), pages 1220-1234, September.
    19. Disney, S. M. & Naim, M. M. & Potter, A., 2004. "Assessing the impact of e-business on supply chain dynamics," International Journal of Production Economics, Elsevier, vol. 89(2), pages 109-118, May.
    20. Barry Alan Pasternack, 1985. "Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 4(2), pages 166-176.
    21. Granot, Daniel & Yin, Shuya, 2007. "On sequential commitment in the price-dependent newsvendor model," European Journal of Operational Research, Elsevier, vol. 177(2), pages 939-968, March.
    22. Li, Yongjian & Xu, Lei & Li, Dahui, 2013. "Examining relationships between the return policy, product quality, and pricing strategy in online direct selling," International Journal of Production Economics, Elsevier, vol. 144(2), pages 451-460.
    23. Andy A. Tsay, 1999. "The Quantity Flexibility Contract and Supplier-Customer Incentives," Management Science, INFORMS, vol. 45(10), pages 1339-1358, October.
    24. Choi, Tsan-Ming & Li, Duan & Yan, Houmin, 2004. "Optimal returns policy for supply chain with e-marketplace," International Journal of Production Economics, Elsevier, vol. 88(2), pages 205-227, March.
    25. Ohmura, Shota & Matsuo, Hirofumi, 2016. "The effect of risk aversion on distribution channel contracts: Implications for return policies," International Journal of Production Economics, Elsevier, vol. 176(C), pages 29-40.
    26. Jing Chen & Peter Bell, 2013. "The impact of customer returns on supply chain decisions under various channel interactions," Annals of Operations Research, Springer, vol. 206(1), pages 59-74, July.
    27. Ji, Xiang & Sun, Jiasen & Wang, Zebin, 2017. "Turn bad into good: Using transshipment-before-buyback for disruptions of stochastic demand," International Journal of Production Economics, Elsevier, vol. 185(C), pages 150-161.
    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. 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).
    2. Li, Wei & Chen, Jing & Chen, Bintong, 2018. "Supply chain coordination with customer returns and retailer's store brand product," International Journal of Production Economics, Elsevier, vol. 203(C), pages 69-82.
    3. Zhang, Qiao & Chen, Jing & Chen, Bintong, 2021. "Information strategy in a supply chain under asymmetric customer returns information," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    4. Shi, Xiutian & Dong, Ciwei & Cheng, T.C.E., 2018. "Does the buy-online-and-pick-up-in-store strategy with pre-orders benefit a retailer with the consideration of returns?," International Journal of Production Economics, Elsevier, vol. 206(C), pages 134-145.
    5. Lin, Jiaxin & Zhang, Juliang & Cheng, T.C.E., 2020. "Optimal pricing and return policy and the value of freight insurance for a retailer facing heterogeneous consumers with uncertain product values," International Journal of Production Economics, Elsevier, vol. 229(C).
    6. Jing Chen & Bintong Chen, 2016. "Competing with customer returns policies," International Journal of Production Research, Taylor & Francis Journals, vol. 54(7), pages 2093-2107, April.
    7. Wang, Chong & Chen, Jing & Chen, Xu, 2019. "The impact of customer returns and bidirectional option contract on refund price and order decisions," European Journal of Operational Research, Elsevier, vol. 274(1), pages 267-279.
    8. Xu, Guangye & Dan, Bin & Zhang, Xumei & Liu, Can, 2014. "Coordinating a dual-channel supply chain with risk-averse under a two-way revenue sharing contract," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 171-179.
    9. Chen, Kebing & Xiao, Tiaojun, 2011. "Ordering policy and coordination of a supply chain with two-period demand uncertainty," European Journal of Operational Research, Elsevier, vol. 215(2), pages 347-357, December.
    10. Terry A. Taylor, 2002. "Supply Chain Coordination Under Channel Rebates with Sales Effort Effects," Management Science, INFORMS, vol. 48(8), pages 992-1007, August.
    11. Chen, Jing & Bell, Peter C., 2011. "Coordinating a decentralized supply chain with customer returns and price-dependent stochastic demand using a buyback policy," European Journal of Operational Research, Elsevier, vol. 212(2), pages 293-300, July.
    12. Jeong, In-Jae, 2012. "A centralized/decentralized design of a full return contract for a risk-free manufacturer and a risk-neutral retailer under partial information sharing," International Journal of Production Economics, Elsevier, vol. 136(1), pages 110-115.
    13. Barry Alan Pasternack, 2008. "Commentary—Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 27(1), pages 131-132, 01-02.
    14. Yang, Hui & Chen, Jing & Chen, Xu & Chen, Bintong, 2017. "The impact of customer returns in a supply chain with a common retailer," European Journal of Operational Research, Elsevier, vol. 256(1), pages 139-150.
    15. Wang, Yulan & Zipkin, Paul, 2009. "Agents' incentives under buy-back contracts in a two-stage supply chain," International Journal of Production Economics, Elsevier, vol. 120(2), pages 525-539, August.
    16. Niu, Baozhuang & Li, Qiyang & Liu, Yaoqi, 2020. "Conflict management in a multinational firm's production shifting decisions," International Journal of Production Economics, Elsevier, vol. 230(C).
    17. Ruiz-Benitez, Rocio & Muriel, Ana, 2014. "Consumer returns in a decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 573-592.
    18. Wang, Chong & Chen, Jing & Chen, Xu, 2017. "Pricing and order decisions with option contracts in the presence of customer returns," International Journal of Production Economics, Elsevier, vol. 193(C), pages 422-436.
    19. Linh, Cao To & Hong, Yushin, 2009. "Channel coordination through a revenue sharing contract in a two-period newsboy problem," European Journal of Operational Research, Elsevier, vol. 198(3), pages 822-829, November.
    20. Hu, Fei & Lim, Cheng-Chew & Lu, Zudi, 2013. "Coordination of supply chains with a flexible ordering policy under yield and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 146(2), pages 686-693.

    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:eee:proeco:v:215:y:2019:i:c:p:153-164. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.