考虑策略型消费者对产品估值的异质性,并且消费者收到产品后有可能对产品感到不满意,构建了两期决策模型并分别得到了零售商在不允许退货和提供退款保证两种模式下的最优库存分配策略。研究发现,当消费者对产品估值的变化范围较大时,零售商应采用两阶段差别定价,反之则应采用统一定价;当不允许退货时,消费者对产品满意的概率越大,在正常销售阶段购买的消费者就越多;当提供退款保证时,零售商或消费者的退货成本越小,在正常销售阶段购买的消费者就越多。通过与短视型消费者的对比发现,无论是否允许退货,消费者的策略等待行为都降低了零售商的潜在收益。对不允许退货和提供退货保证这两种模式下的零售商利润进行了比较,发现两种模式没有绝对的占优,进而给出了零售商选择不同模式的条件。最后,通过数值模拟分析了消费者满意概率、退货成本和产品价格对零售商决策和利润的影响。
More and more retailers are willing to offer consumers money-back guarantees in regular seasons,which allows customers to return products that do not meet their expectation for a full refund. On the other hand,some consumers often wait to buy until the price mark down in clearance season, and this strategic behavior has a great impact on retailer's inventory and product returns strategies due to the uncertainty of demand. In the meantime, the strategic consumers have the risk of stockout in the clearance season, so they need to decide whether to buy in the regular season. In view of the complex behavior of the consumers, some retailers are attempting to reduce the loss by rationing the inventory reasonably. In this paper, the inventory rationing decisions and consumer return policies are examined in a two-period setting, where the first period is the regular selling season and the second is the clearance season.In this paper, it is assumed that consumers' valuations of products are heterogeneous and they are uncertain about their satisfaction until receiving the products. In addition, consumers' perceived fill rate is not always consistent with the actual fill rate, which reflects the cautious attitude of consumers. First, the base model without money-back guarantees is formulated and the retailer's optimal inventory rationing strategies are obtained. Then the scenario that the retailer offers money-back guarantees in the first period but not in the second period is analyzed. Through the comparison of these two scenarios, some thresholds for the retailer's money-back guarantees are identified.Our study shows that:markdown pricing is optimal when the range of consumers' valuations is large, otherwise uniform pricing is preferred; in the case of no-return, the number of consumers who purchase in regular season is increasing in consumers' satisfaction of products; in the case with money-back guarantees, the number of consumers who purchase inregular season is increasing in both retailer's and consumer's returns cost. Further more the profits under the cases of no-return and money-back guarantees are compared, and the conditions of implementing different returns policies are given.By comparing the case with myopic consumers and that with strategic consumer, it is found that the retailer suffers a loss due to consumers' strategic behavior. Finally, some numerical examples are present to investigate the impacts of consumers' satisfaction, return cost and price on the retailer's optimal decisions and profit. The results of this study can help managers develop better inventory rationingand product return policies.
[1] Davis S, Gerstner E, Hagerty M. Money back guarantees in retailing:Matching products to consumer tastes[J]. Journal of Retailing, 1995, 71(1):7-22.
[2] Guide Jr V D R, Souza G C, Van Wassenhove L N, et al. Time value of commercial product returns[J]. Management Science, 2006, 52(8):1200-1214.
[3] Rao S, Rabinovich E, Raju D. The role of physical distribution services as determinants of product returns in Internet retailing[J]. Journal of Operations Management, 2014, 32(6):295-312.
[4] Du Jie, Zhang Juliang, Hua Guowei. Pricing and inventory management in the presence of strategic customers with risk preference and decreasing value[J]. International Journal of Production Economics, 2015, 164:160-166.
[5] Su Xuanming, Zhang Fuqiang. Strategic customer behavior, commitment, and supply chain performance[J]. Management Science, 2008, 54(10):1759-1773.
[6] Ye Taofeng, Sun Hao. Price-setting newsvendor with strategic consumers[J]. Omega, 2015,63:103-110.
[7] Yang Daojian, Qi Ershi, Li Yajiao. Quick response and supply chain structure with strategic consumers[J]. Omega, 2015, 52:1-14.
[8] 王夏阳, 傅科, 吁彬. 考虑残值变化和顾客异质性的零售商定价与库存决策[J]. 中国管理科学, 2016, 24(1):97-106.
[9] Swinney R. Selling to strategic consumers when product value is uncertain:The value of matching supply and demand[J]. Management Science, 2011, 57(10):1737-1751.
[10] Liu Qian, Shum S. Pricing and capacity rationing withcustomer disappointment aversion[J]. Production and Operations Management, 2013, 22(5):1269-1286.
[11] Özer Ö, Zheng Yanchong. Markdown or everyday low price? The role of behavioral motives[J]. Management Science, 2015.
[12] Cachon G P, Feldman P. Price commitments with strategic consumers:Why it can be optimal to discount more frequently… than optimal[J]. Manufacturing & Service Operations Management, 2015, 17(3):399-410.
[13] Shum S, Tong Shilu, Xiao Tingting. On the impact of uncertain cost reduction when selling to strategic customers[J]. Management Science, 2016,63(3):843-860.
[14] 官振中, 李伟. 存在投机商和策略型消费者的零售商定价研究[J]. 系统工程理论与实践, 2015, 35(2):308-314.
[15] 张新鑫,申成霖,侯文华. 考虑竞争者进入威胁的易逝品动态定价机制[J]. 管理科学学报,2016,19(10):34-47.
[16] 陈晓红,谭运强. 考虑策略型消费者双层因素的多零售商动态博弈定价[J]. 管理工程学报, 2015,29(4):178-185.
[17] Ofek E, Katona Z, Sarvary M. "Bricks and clicks":The impact of product returns on the strategies of multichannel retailers[J]. Marketing Science, 2011, 30(1):42-60.
[18] Ruiz-Benitez R, Muriel A. Consumer returns in a decentralized supply chain[J]. International Journal of Production Economics, 2014, 147(c):573-592.
[19] Su Xuanming. Consumer returns policies and supply chain performance[J]. Manufacturing & Service Operations Management, 2009, 11(4):595-612.
[20] Chen Jing, Bell P C. Implementing market segmentation using full-refund and no-refund customer returns policies in a dual-channel supply chain structure[J]. International Journal of Production Economics, 2012, 136(1):56-66.
[21] McWilliams B. Money-back guarantees:Helping the low-quality retailer[J]. Management Science, 2012, 58(8):1521-1524.
[22] Akçay Y, Boyac? T, Zhang Dan. Selling with money-back guarantees:The impact on prices, quantities, and retail profitability[J]. Production and Operations Management, 2013, 22(4):777-791.
[23] Hsiao L, Chen Y J. Retailer's rationale to refuse consumer returns in supply chains[J]. Naval Research Logistics (NRL), 2015, 62(8):686-701.
[24] 黄宗盛, 聂佳佳, 赵映雪. 基于有限理性消费者的竞争性退款保证策略[J]. 中国管理科学, 2016, 24(1):116-123.
[25] 黄宗盛,聂佳佳,赵映雪. 基于消费者满意的双渠道销售商退款保证策略研究[J]. 中国管理科学,2016,24(2):61-68.
[26] 李明芳, 薛景梅, 韩娜. 基于双向激励契约的无缺陷退货供应链协调[J]. 系统管理学报, 2015, 24(6):919-924.
[27] 姜宏. 基于顾客策略性购买和退货行为的缺货保障策略价值研究[J]. 中国管理科学, 2015, 23(4):96-104.
[28] Gallego G, Phillips R, ?ahin Ö. Strategic management of distressed inventory[J]. Production and Operations Management, 2008, 17(4):402-415.
[29] Correa J, Montoya R, Thraves C. Contingent preannounced pricing policies with strategic consumers[J]. Operations Research, 2016, 64(1):251-272.
[30] Liu Qian, Van Ryzin G J. Strategic capacity rationing to induce early purchases[J]. Management Science, 2008, 54(6):1115-1131.
[31] 徐贤浩, 陈雯, 彭红雯. 基于策略消费者行为和市场细分的联合定价库存策略[J]. 中国管理科学, 2012, 20(6):78-86.
[32] Simchi-Levi D, Chen Xin, Bramel J. The logic of logistics:Theory, algorithms, and applications for logistics management[J]. Berlin,Germang:Springer Science & Business Media, 2013.