Examining Drivers of Consumer Returns in E-Tailing with Real Shop Data

Date
2017-01-04
Authors
Asdecker, Bjoern
Karl, David
Sucky, Eric
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
Number/Issue
Starting Page
Ending Page
Alternative Title
Abstract
Returns management – an important component of supply chain management – is a key aspect of online retailers’ business models. Despite increasing interest in this issue, few studies have published empirical results on the drivers of consumer returns in e-tailing. Because this knowledge is essential to enabling better decisions about return flows, we explored an extensive dataset from an online apparel retailer using linear and logistic regression models. This approach distinguishes our study from other empirical work, which is usually based on survey methods. Before the data analysis, previously untested hypotheses were formulated using established theories and anecdotal information.
Description
Keywords
Big Data, Consumer Returns, E-Commerce, Retailing, Returns Management
Citation
Extent
10 pages
Format
Geographic Location
Time Period
Related To
Proceedings of the 50th Hawaii International Conference on System Sciences
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights Holder
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.