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Big data analytics in returns management – Are complex techniques necessary to forecast consumer returns properly?

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Asdecker, B.; Karl, D. (2018). Big data analytics in returns management – Are complex techniques necessary to forecast consumer returns properly?. En 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018). Editorial Universitat Politècnica de València. 39-46. https://doi.org/10.4995/CARMA2018.2018.8303

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/111840

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Title: Big data analytics in returns management – Are complex techniques necessary to forecast consumer returns properly?
Author: Asdecker, Björn Karl, David
Issued date:
Abstract:
[EN] The more people shop online, the more consumer returns e-tailers face. In order to plan the returns management process capacity adequately, it is necessary to forecast the expected amount of returned parcels. Big data ...[+]
Subjects: Web data , Internet data , Big data , QCA , PLS , SEM , Conference , Returns management , Product returns , E-commerce , Forecast model
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490486894
Source:
2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018).
DOI: 10.4995/CARMA2018.2018.8303
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/CARMA/CARMA2018/paper/view/8303
Conference name: CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics
Conference place: Valencia, Spain
Conference date: Julio 12-13,2018
Type: Capítulo de libro Comunicación en congreso

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