Resumen
Managing customer returns is a crucial issue for the retailing industry. In this paper, we develop a model to investigate a monopolistic retailer's customer returns management strategy. The retailer should determine its returns policy: a money-back guarantee (MBG) or no-refund. If an MBG returns policy is offered, the retailer must also decide whether or not to sell the returned products as open-box products. We derive the optimal pricing strategy for each of the returns strategies and identify the retailer's optimal customer returns management strategy. We show when the retailer should implement each of the returns policies, and when it should sell the returned products as open-box products. We also show that even when the retailer cannot handle customer returns efficiently, it could choose to offer an MBG returns policy and sell returned products as open-box products, if the cost of inspecting returned items is low. Finally, we show that the retailer can simplify the choice of returns management strategy based on identifiable quantities and threshold values. The implications of this study are also discussed.
Idioma original | English |
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Número de artículo | 107794 |
Publicación | International Journal of Production Economics |
Volumen | 230 |
DOI | |
Estado | Published - dic. 2020 |
Nota bibliográfica
Funding Information:The authors gratefully acknowledge financial support from the Social Sciences and Humanities Research Council of Canada , the Natural Sciences and Engineering Research Council of Canada , and the National Social Science Foundation of China (Grant No. 17BGL200 ).
Funding Information:
The authors gratefully acknowledge financial support from the Social Sciences and Humanities Research Council of Canada, the Natural Sciences and Engineering Research Council of Canada, and the National Social Science Foundation of China (Grant No. 17BGL200).
Publisher Copyright:
© 2020 Elsevier B.V.
ASJC Scopus Subject Areas
- General Business,Management and Accounting
- Economics and Econometrics
- Management Science and Operations Research
- Industrial and Manufacturing Engineering