False failure returns: Optimal pricing and return policies in a dual-channel supply chain

Guojun Ji , Shangqing Han , Kim Hua Tan

Journal of Systems Science and Systems Engineering ›› 2018, Vol. 27 ›› Issue (3) : 292 -321.

PDF
Journal of Systems Science and Systems Engineering ›› 2018, Vol. 27 ›› Issue (3) : 292 -321. DOI: 10.1007/s11518-017-5356-2
Article

False failure returns: Optimal pricing and return policies in a dual-channel supply chain

Author information +
History +
PDF

Abstract

This paper aim is to examine the optimal pricing and return policies for false failure returns in a dual-channel supply chain. Four prevailing return policies in which a manufacturer both operates an E-shop and sells its product through a brick-and-mortar retailer are analyzed, i.e. (I) the manufacturer handlings E-shop’s returns, while the retailer addresses brick-and-mortar store’s returns (NR); (II) the retailer tackles the whole (both E-shop’s and brick-and-mortar store’s) returns (ORR); (III) the manufacturer tackles the whole returns (ORM); and (IV) the manufacturer and the retailer are jointly responsible for the whole returns (RRM). Firstly, the optimal pricing and return policies comparing these four scenarios under uniform-pricing strategy are presented. Our conclusions show that the ORR is an optimal return policy. Compared with the NR, consumers will get a lower product pricing under the ORR and a higher product pricing under the ORM. With regard to the RRM, the product pricing is depended on consumer preference, return-rates of the E-shop and the brick-and-mortar store. Then, the optimal pricing and return policies are analyzed under differential-pricing strategy by conducting two-stage sequential games between the manufacturer and the retailer. The findings show that if consumers in the market prefer to purchase via the E-shop, the ORR is an optimal return policy. Otherwise, the NR is the optimal return policy. Compared with the NR, the ORR retailer’s product pricing will rely on the retailer’s and the manufacturer’s return-costs; the RRM retailer’s product pricing will depend on the return-costs of the retailer and the manufacturer, the return-rates of the E-shop and the brick-and-mortar store and so on. Finally, the influences of the manufacturer and the retailer establishing a Buy-back contract are discussed. Our results illustrated that the Buy-back contract doesn’t affect optimal pricing and return policies under both the uniform and the differential pricing strategies.

Keywords

Dual-channel / optimal return policy / optimal pricing / false failure returns / game theory

Cite this article

Download citation ▾
Guojun Ji, Shangqing Han, Kim Hua Tan. False failure returns: Optimal pricing and return policies in a dual-channel supply chain. Journal of Systems Science and Systems Engineering, 2018, 27(3): 292-321 DOI:10.1007/s11518-017-5356-2

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Akçay Y., Boyacı T., Zhang D.. Selling with money-back guarantees: the impact on prices, quantities, and retail profitability. Production and Operations Management, 2013, 22(4): 777-791.

[2]

Cai G. G., Zhang Z. G., Zhang M.. Game theoretical perspectives on dual-channel supply chain competition with price discounts and pricing schemes. International Journal of Production Economics, 2009, 117(1): 80-96.

[3]

Cattani K., Gilland W., Heese H. S., Swaminathan J.. Boiling frogs: pricing strategies for a manufacturer adding a direct channel that competes with the traditional channel. Production and Operations Management, 2006, 15(1): 40-56.

[4]

Chen B., Chen J.. When to introduce an online channel, and offer money back guarantees and personalized pricing. European Journal of Operational Research, 2017, 257(2): 614-624.

[5]

Chen J., Zhang H., Sun Y.. Implementing coordination contracts in a manufacturer Stackelberg dual-channel supply chain. Omega, 2012, 40(5): 571-583.

[6]

Chiang W. K., Chhajed D., Hess J. D.. Direct marketing, indirect profits: a strategic analysis of dual-channel supply-chain design. Management Science, 2003, 49(1): 1-20.

[7]

Chiu C.H., Choi T.M., Tang C.S.. Price, rebate, and returns supply contracts for coordinating supply chains with price-dependent demands. Production and Operations Management, 2011, 20(1): 81-91.

[8]

Dan B., Xu G., Liu C.. Pricing policies in a dual-channel supply chain with retail services. International Journal of Production Economics, 2012, 139(1): 312-320.

[9]

Ding D., Chen J.. Coordinating a three level supply chain with flexible return policies. Omega, 2008, 36(5): 865-876.

[10]

Donohue K. L.. Efficient supply contracts for fashion goods with forecast updating and two production modes. Management Science, 2000, 46(11): 1397-1411.

[11]

Emmons H., Gilbert S. M.. The role of returns policies in pricing and inventory decisions for catalogue goods. Management Science, 1998, 44(2): 276-283.

[12]

Guide V.D.R.J., Souza G.C., Wassenhove L.N.V., Blackburn J.D.. Time value of commercial product returns. Management Science, 2006, 52(8): 1200-1214.

[13]

He Y., Zhao X.. Coordination in multi-echelon supply chain under supply and demand uncertainty. International Journal of Production Economics, 2012, 139(1): 106-115.

[14]

Kandel E.. The right to return. J. Law Economic, 1996, 39(1): 329-356.

[15]

Lawton C.. The war on returns. The Wall Street Journal, 2008 1-8.

[16]

Liu Y., Gupta S., Zhang Z. J.. Note on self-restraint as an online entry-deterrence strategy. Management Science, 2006, 52(11): 1799-1809.

[17]

Lu H., Chen Y. J.. Returns policy and quality risk in E-business. Production and Operations Management, 2012, 21(3): 489-503.

[18]

Lu H., Chen Y.J.. Strategic motive for introducing internet channels in a supply chain. Production and Operations Management, 2014, 23(1): 36-47.

[19]

Marvel H. P., Peck J.. Demand uncertainty and returns policies. International Economics Review, 1995, 36(3): 691-714.

[20]

Moorthy K. S.. Product and price competition in a duopoly. Marketing Science, 1998, 7(2): 141-168.

[21]

Mukhopadhyay S. K., Zhu X., Yue X.. Optimal contract design for mixed channels under information asymmetry. Production and Operations Management, 2008, 17(6): 641-650.

[22]

Pasternack B. A.. Optimal pricing and returns policies for perishable commodities. Marketing Science, 1985, 4(2): 166-176.

[23]

Rogers D. S., Tibben-Lemk R. S.. Going Backwards: Reverse Logistics Trends and Practices, 1999, Pittsburgh, PA: Reverse Logistics Executive Council Press

[24]

Shieh S.. Price and money-back guarantees as signals of product quality. Journal of Economics of Managerial Strategy, 1996, 5(3): 361-377.

[25]

Shulman J., Coughlan A., Canan Savaskan R.. Optimal restocking fees and information provision in an integrated demand- supply model of product returns. Manufacturing and Service Operation Management, 2009, 11(4): 577-594.

[26]

Shulman J., Coughlan A., Canan Savaskan R.. Optimal reverse channel structure for consumer product returns. Marketing Science, 2010, 29(6): 1071-1085.

[27]

Shulman J., Coughlan A., Canan Savaskan R.. Managing consumer returns in a competitive environment. Management Science, 2011, 57(2): 347-362.

[28]

Sprague B., Steger T., Douthit D.. Big trouble with no trouble found returns: confronting the high cost of customer returns. Accenture Communications & High Tech Solutions, 2008 1-8.

[29]

Stock J., Speh T., Shear H.. Many happy (product) returns. Harvard Bus. Rev., 2002, 80(7): 16-17.

[30]

Su X. M.. Consumer returns policies and supply chain performance. Manufacturing & Service Operations Management, 2009, 11(4): 595-612.

[31]

Swinney R.. Selling to strategic consumers when product value is uncertain: the value of matching supply and demand. Management Science, 2011, 57(10): 1737-1751.

[32]

VandeVate J., Bedir G.. Many happy returns. Frontline Solutions Magazine March 1, 2005, 2005

[33]

Webster S., Weng Z. K.. A risk-free perishable items returns policy. Manufacturing & Service Operations Management, 2000, 2(1): 100-106.

AI Summary AI Mindmap
PDF

133

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/