Abstract:The generosity of returns policy is usually a sign of quality that consumers receive in traditional "bricks-and-mortar", where high quality is defined as a low likelihood of product return. Existing literature, based on signaling theory, suggests that money-back guarantees (MBGs) will be utilized by high-quality firms. But nowadays, almost all the e-tailers offer MBGs, that is to say, the story of "clicks-and-mortar" goes not the same way as the traditional "bricks-and-mortar". To understand this phenomenon, we develop a stylized two-segment market setting, to find in which situation MBGs can greatly improve the profit. Our model captures important features of MBGs sales including demand uncertainty, consumer valuation uncertainty, consumer returns and so on. We show that selling with MBGs increases e-tailers' sales and profit. Furthermore, MBGs is the best returns policy for mid-quality e-tailers under certain technical cost and returns hassle. In addition, adding compensation for MBGs returns policy is usually the strategy of low-quality e-tailers to reduce returns rate.
李建斌, 李赟. 无理由退货政策下的在线定价及补偿优化策略[J]. 系统工程理论与实践, 2016, 36(11): 2811-2819.
LI Jianbin, LI Yun. Optimal online pricing and compensation strategy in MBG returns policy. Systems Engineering - Theory & Practice, 2016, 36(11): 2811-2819.
[1] Anantaram B, Shankar S, Zhang B. Browse-and-switch: Retail-online competition under value uncertainty[J]. Production and Operations Management, 2013, 23(7): 1-17. [2] 王辉,李勇建. 网络直销模式下含有管理复原退货物流的库存问题研究[J]. 运筹与管理, 2008, 5(17): 32-38.Wang H, Li J Y. The research of rehabilitation return logistics inventory management in online marketing[J]. Operations Research and Management Science, 2008, 5(17): 32-38. [3] 王刊良. 基于分类的企业电子商务模式创新方法[J]. 系统工程理论与实践, 2003, 23(3): 18-23.Wang K L. Taxonomy-based innovation method of e-commerce business models[J]. Systems Engineering-Theory & Practice, 2003, 23(3): 18-23. [4] Davis S, Hagerty M, Gerstner E. Money back guarantees in retailing: Matching products to consumer tastes[J]. Journal of Retailing, 1995, 71(1): 7-22. [5] Davis S, Hagerty M, Gerstner E. Return policies and the optimal level of "hassle"[J]. Journal of Economics and Business, 1998, 50: 445-460. [6] Chu W, Gerstner E, Hess J D. Managing dissatisfaction: How to decrease consumer opportunism by partial refunds[J]. Journal of Service Research, 1998, 1(2): 140-155. [7] Fruchter G, Gerstner E. Selling with "satisfaction guaranteed"[J]. Journal of Service Research, 1999, 1(4): 313-323. [8] Akcay Y, Boyaci T, Zhang D. Selling with money-back guarantees: The impact on prices, quantities, and retail profitability[J]. Production and Operations Management, 2012, 22(4): 777-791. [9] Jeffery D S, Anne T C, Canan R S. Optimal restocking fees and information provision in an integrated demand-supply model of product returns[J]. Manufacturing & Service Operations Management, 2009, 11(4): 577-594. [10] Moorthy S, Srinivasan K. Signaling quality with a money-back guarantee: The role of transaction costs[J]. Marketing Science, 1995, 14(4): 442-466. [11] Hsiao L, Chen Y J. Returns policy and quality risk in e-business[J]. Production and Operations Management, 2011, 21(3): 489-503. [12] 姚忠. 退货策略在单周期产品供应链管理中的作用[J]. 系统工程理论与实践, 2003, 23(6): 69-73. Yao Z. The role of the returns policies in the supply chain of the single-period products[J]. Systems Engineering-Theory & Practice, 2003, 23(6): 69-73. [13] 翟春娟,李勇建. B2C 模式下的在线零售商退货策略研究[J]. 管理工程学报, 2011, 25(1): 62-68. Zhai C J, Li Y J. Research on the returns policy of B2C online retailing[J]. Journal of Industrial Engineering and Engineering Management, 2011, 25(1): 62-68. [14] 薛顺利,徐渝,宋悦林,等. 电子商务环境下定价与退货策略整合优化研究[J]. 运筹与管理, 2006, 15(5): 133-137. Xue S L, Xu Y, Song Y L, et al. Research on integrated optimization of pricing and returns policy under the e-commerce environment[J]. Operations Research and Management Science, 2006, 15(5): 133-137. [15] Shieh S. Price and money-back guarantees as signal of product quality[J]. Journal of Economics & Management Strategy, 1996, 5(3): 361-377. [16] 熊中楷,李豪,彭志强. 竞争环境下季节性产品网上直销动态定价模型[J]. 系统工程理论与实践, 2010, 30(2): 243-250. Xiong Z K, Li H, Peng Z Q. Optimal dynamic pricing for seasonal goods in competitive markets with internet[J]. Systems Engineering-Theory & Practice, 2010, 30(2): 243-250. [17] McWilliams W B. Money-back guarantees: Helping the low-quality retailer[J]. Management Science, 2012, 58(8): 1521-1524. [18] 陈云,王浣尘,沈惠璋. 电子商务零售商与传统零售商的价格竞争研究[J]. 系统工程理论与实践, 2006, 26(1): 35-41. Chen Y, Wang H C, Shen H Z. Study on the price competition between e-commerce retailer and conventional retailer[J]. Systems Engineering-Theory & Practice, 2006, 26(1): 35-41. [19] 王晶, 王寻. 受约束供应链模型的复杂动力学行为[J]. 系统工程理论与实践, 2012, 32(4): 746-751. Wang J, Wang X. Complex dynamic behaviors of constrained supply chain systems[J]. Systems Engineering-Theory & Practice, 2012, 32(4): 746-751. [20] Su X M. Consumer returns policies and supply chain performance[J]. Manufacturing & Service Operations Management, 2009, 11(4): 595-612. [21] Pasternack B A. Optimal pricing and returns policies for perishable commodities[J]. Marketing Science, 2008, 27(1): 133-140. [22] Michael E K, Rob A Z. Optimal pricing, ordering, and return policies for consumer goods[J]. Production and Operations Management, 2009, 18(3): 344-360. [23] Guide V D R, Souza G C, Wassenhove L N Y, et al. Time value of commercial product returns[J]. Management Science, 2002, 52(8): 1200-1214. [24] Jeffery D S, Anne T C, Canan R S. Optimal reverse channel structure for consumer product returns[J]. Marketing Science, 2010, 29(6): 1071-1085.