TY - JOUR
T1 - Reducing ecommerce returns with return credits
AU - Martínez-López, Francisco J.
AU - Li, Yangchun
AU - Feng, Changyuan
AU - Liu, Huaming
AU - Lopez-Lopez, D.
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023/12
Y1 - 2023/12
N2 - Massive ecommerce returns incur considerable costs for e-retailers, erode their competitiveness and make their product returns management complex and difficult. Reducing returns can help e-retailers mitigate these negative consequences. This article focuses on ecommerce returns due to satisfaction-related reasons, the most common reasons for ecommerce returns, and studied the use of return credits (a maximum free returns amount) to reduce these kinds of returns. This novel approach is different from full or partial return policy documented in existing literature. This article also studied the side effects of using return credits. A one-factor (credit amount: high vs. low) between-subject scenario experiment was conducted. ANOVA was used to test hypotheses. The results revealed that using return credits can significantly deter returns, while the high and low credit amount have a similar effect on deterring returns. Moreover, the high credit amount leads to weaker side effects than the low amount. These findings can help e-retailers decide whether to introduce return credits to manage returns, and help them design their return credits.
AB - Massive ecommerce returns incur considerable costs for e-retailers, erode their competitiveness and make their product returns management complex and difficult. Reducing returns can help e-retailers mitigate these negative consequences. This article focuses on ecommerce returns due to satisfaction-related reasons, the most common reasons for ecommerce returns, and studied the use of return credits (a maximum free returns amount) to reduce these kinds of returns. This novel approach is different from full or partial return policy documented in existing literature. This article also studied the side effects of using return credits. A one-factor (credit amount: high vs. low) between-subject scenario experiment was conducted. ANOVA was used to test hypotheses. The results revealed that using return credits can significantly deter returns, while the high and low credit amount have a similar effect on deterring returns. Moreover, the high credit amount leads to weaker side effects than the low amount. These findings can help e-retailers decide whether to introduce return credits to manage returns, and help them design their return credits.
KW - Perceived fit
KW - Product returns management
KW - Repurchase intention
KW - Return credit
KW - Returns reduction
UR - http://www.scopus.com/inward/record.url?scp=85143216574&partnerID=8YFLogxK
U2 - 10.1007/s10660-022-09638-5
DO - 10.1007/s10660-022-09638-5
M3 - Article
AN - SCOPUS:85143216574
SN - 1389-5753
VL - 23
SP - 2011
EP - 2033
JO - Electronic Commerce Research
JF - Electronic Commerce Research
IS - 4
ER -