9th Joint International Conference on Information Sciences (JCIS-06)

A Hybrid Mining Approach for Optimizing Returns Policies in e Retailing

Authors
Chien-Chih Yu 0, Cheng-Su Wang
Corresponding author
Chien-Chih Yu
0National ChengChi University,Dept. Of Management Information
DOI
https://doi.org/10.2991/jcis.2006.43How to use a DOI?
Keywords
Returns policy, data mining, marketing strategy
Abstract
This paper aims at proposing a hybrid mining approach for e-retailers to analyze returns patterns from both the customer and product perspectives, classify customers and products by returns ratios, and then adopt proper returns policies and marketing strategies to the identified classes for reducing returns transactions and sustaining profits. A multi-dimensional data framework and a process model for the hybrid mining approach are presented with a simulated example for validation.
Copyright
© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
Open Access | Under Creative Commons license CC BY-NC 4.0

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@inproceedings{Yu2006,
  title={A Hybrid Mining Approach for Optimizing Returns Policies in e Retailing},
  author={Yu, Chien-Chih and Wang, Cheng-Su},
  year={2006},
  booktitle={9th Joint International Conference on Information Sciences (JCIS-06)},
  issn={1951-6851},
  isbn={978-90-78677-01-7},
  url={http://dx.doi.org/10.2991/jcis.2006.43},
  doi={10.2991/jcis.2006.43},
  publisher={Atlantis Press}
}
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