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

dc.contributor.author Asdecker, Bjoern
dc.contributor.author Karl, David
dc.contributor.author Sucky, Eric
dc.date.accessioned 2016-12-29T01:35:23Z
dc.date.available 2016-12-29T01:35:23Z
dc.date.issued 2017-01-04
dc.description.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.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.507
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41667
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Big Data
dc.subject Consumer Returns
dc.subject E-Commerce
dc.subject Retailing
dc.subject Returns Management
dc.title Examining Drivers of Consumer Returns in E-Tailing with Real Shop Data
dc.type Conference Paper
dc.type.dcmi Text
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