An integrated product returns model with logistics and marketing coordination. (English) Zbl 1067.90107

Summary: We develop an integrated approach for analyzing logistics and marketing decisions within the context of designing an optimal returns system for a retailer servicing two distinct market segments. At the operational level, we show that the optimal refund price is not unique. Moreover, it is such that if both market segments return a purchased product, then neither segment will receive a full money-back refund; and it is such that if one or both segments do not return a purchased product, then a refund premium over the purchase price is possible, but the refund premium will not be enough to offset a customer’s total net cost of purchase and return. We also show that any improvement to the returns system that results in increased logistical efficiency or marketing effectiveness will be accompanied by an increase in the selling price of the product. At the strategic level, we show that if the retailer does not coordinate its logistics and marketing efforts to improve the overall returns system, then it will tend to over-invest in one of the functions and under-invest in the other. Finally, we illustrate how our model can be generalized to the case in which a customer’s ex post valuation of the product falls along a continuum.


90B60 Marketing, advertising
90B30 Production models
Full Text: DOI


[1] Cooper, R.; Ross, T. W., Product warranties and double moral hazard, RAND Journal of Economics, 16, 1, 103-113 (1985)
[2] Cyert, R. M.; March, J. G., A Behavioral Theory of the Firm (1963), Prentice-Hall: Prentice-Hall Engelwood Cliffs, NJ
[3] Davis, S.; Gerstner, E.; Hagerty, M., Money back guarantees in retailing: Matching products to consumer tastes, Journal of Retailing, 71, 1, 7-22 (1995)
[4] Davis, S.; Hagerty, M.; Gerstner, E., Return policies and the optimal level of “hassle”, Journal of Economics and Business, 50, 445-460 (1998)
[5] Dean, W. D.; Sharfman, M. P., Does decision process matter? A study of strategic decision-making effectiveness, Academy of Management Journal, 39, 2, 368-396 (1996)
[6] Eisenhardt, K. M.; Bourgeois, L. J., Politics of strategic decision making in high-velocity environments: Towards a midrange theory, Academy of Management Journal, 31, 4, 737-770 (1988)
[7] Eisenhardt, K. M.; Zbaracki, M. J., Strategic decision making, Strategic Management Journal, 13, 17-37 (1992)
[8] Emmons, H.; Gilbert, S. M., Note. The role of returns policies in pricing and inventory decisions for catalogue goods, Management Science, 44, 2, 276-283 (1998) · Zbl 0989.90043
[9] Hess, J. D.; Chu, W.; Gerstner, E., Controlling product returns in direct marketing, Marketing Letters, 7, 4, 307-317 (1996)
[10] Lutz, N. A., Warranties as signals under consumer moral hazard, RAND Journal of Economics, 20, 2, 239-255 (1989)
[11] March, J. G.; Simon, H. A., Organizations (1958), Wiley: Wiley New York
[12] Marvel, H. P.; Peck, J., Demand uncertainty and returns policies, International Economic Review, 36, 3, 691-714 (1995) · Zbl 0836.90019
[14] Padmanabhan, V.; Png, I. P.L, Manufacturer’s returns policies and retail competition, Marketing Science, 16, 1, 81-94 (1997)
[15] Pasternack, B. A., Optimal pricing and return policies for perishable commodities, Marketing Science, 4, 2, 166-176 (1985)
[16] Pfeffer, J., Power in Organizations (1981), Pitman: Pitman Marshfield, MA
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.