Using transactions data to improve consumer returns forecasting-Reference-Cited by-同舟云学术

Using transactions data to improve consumer returns forecasting

Published:2019-12 Issue:3 Volume:66 Page:326-348
ISSN:0272-6963
Container-title:Journal of Operations Management
language:en
Short-container-title:Jrnl of Ops Management

Author:

Shang Guangzhi¹^ORCID,McKie Erin C.²,Ferguson Mark E.³^ORCID,Galbreth Michael R.⁴^ORCID

Affiliation:

1. Department of Analytics, Information System, and Supply Chain, College of Business Florida State University Tallahassee Florida

2. Department of Management Sciences, Fisher College of Business The Ohio State University Columbus Ohio

3. Department of Management Science, Moore School of Business University of South Carolina Columbia South Carolina

4. Department of Business Analytics and Statistics Haslam College of Business, University of Tennessee Knoxville Tennessee

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/joom.1071

Reference70 articles.

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2. Amatulli J.2017. Forever 21 just quietly changed its return policy for the better.The Huffington Post. Retrieved fromhttps://www.huffingtonpost.com/.

3. The Option Value of Returns: Theory and Empirical Evidence

4. Asdecker B. D.Karl.2018.Big data analytics in returns management–are complex techniques necessary to forecast consumer returns properly?2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018). Editorial Universitat Politècnica de València pp. 39–46.

5. Segmentation, Revenue Management and Pricing Analytics

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