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

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dc.contributor.authorAsdecker, Bjoern
dc.contributor.authorKarl, David
dc.contributor.authorSucky, Eric
dc.date.accessioned2016-12-29T01:35:23Z
dc.date.available2016-12-29T01:35:23Z
dc.date.issued2017-01-04
dc.description.abstractReturns 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.extent10 pages
dc.identifier.doi10.24251/HICSS.2017.507
dc.identifier.isbn978-0-9981331-0-2
dc.identifier.urihttp://hdl.handle.net/10125/41667
dc.language.isoeng
dc.relation.ispartofProceedings of the 50th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBig Data
dc.subjectConsumer Returns
dc.subjectE-Commerce
dc.subjectRetailing
dc.subjectReturns Management
dc.titleExamining Drivers of Consumer Returns in E-Tailing with Real Shop Data
dc.typeConference Paper
dc.type.dcmiText

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