2010
DOI: 10.1287/mksc.1100.0578
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Optimal Reverse Channel Structure for Consumer Product Returns

Abstract: Consumers often return a product to a retailer because they learn after purchase that the product does not match as well with preferences as had been expected. This is a costly issue for retailers and manufacturers--in fact, it is estimated that the U.S. electronics industry alone spent $13.8 billion dollars in 2007 to restock returned products [Lawton, C. 2008. The war on returns. Wall Street Journal (May 8) D1]. The bulk of these returns were nondefective items that simply were not what the consumer wanted. … Show more

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Cited by 154 publications
(101 citation statements)
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“…Our paper adds to this literature by showing when and how downstream bundling can improve channel coordination. Another stream of channel literature studies how channel structure affects firms' marketing decisions and profitability (Bhaskaran and Gilbert 2009;Cai, Dai, and Zhou 2012;Choi 1991;Coughlan 1985;Coughlan and Wernerfelt 1989;Desai, Koenigsberg, and Purohit 2004;Liu and Cui 2010;Liu and Tyagi 2011;Mcguire and Staelin 1983;Shulman, Coughlan, and Savaskan 2010). Our work complements this literature by showing how a decentralized channel structure can distort a downstream firm's bundling decision.…”
Section: Literature Reviewmentioning
confidence: 67%
“…Our paper adds to this literature by showing when and how downstream bundling can improve channel coordination. Another stream of channel literature studies how channel structure affects firms' marketing decisions and profitability (Bhaskaran and Gilbert 2009;Cai, Dai, and Zhou 2012;Choi 1991;Coughlan 1985;Coughlan and Wernerfelt 1989;Desai, Koenigsberg, and Purohit 2004;Liu and Cui 2010;Liu and Tyagi 2011;Mcguire and Staelin 1983;Shulman, Coughlan, and Savaskan 2010). Our work complements this literature by showing how a decentralized channel structure can distort a downstream firm's bundling decision.…”
Section: Literature Reviewmentioning
confidence: 67%
“…These pieces contain information regarding relevant process steps and raw materials. Furthermore, consumers who buy products in online shops often return it (especially in the European Union), because they do not fit to their individual preferences [17,46]. Therefore, mass customization via Industry 4.0 can may reduce product returns by producing more consumer individual products.…”
Section: Resultsmentioning
confidence: 99%
“…In such context, there is an easy case for marketing that invites consumers to even anticipate their rebuys. 1 There is a significant literature dealing with different issues related to the control of the flow of commercial returns; see, e.g., Pasternack (1985), Davis et al (1995), Padmanabhan and Png (1997), Tsay (2001), , Su (2009) and Shulman et al (2010).…”
Section: Manuscriptmentioning
confidence: 99%