Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41667

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

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Title: Examining Drivers of Consumer Returns in E-Tailing with Real Shop Data
Authors: Asdecker, Bjoern
Karl, David
Sucky, Eric
Keywords: Big Data
Consumer Returns
E-Commerce
Retailing
Returns Management
Issue Date: 04 Jan 2017
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.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41667
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.507
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:The Digital Supply Chain of the Future: Technologies, Applications and Business Models Minitrack



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