Improving debt collection processes using rule-based decision engines: A case study of Capital One

Amita Goyal Chin and Hiren Kotak

International Journal of Information Management, 2006, vol. 26, issue 1, 81-88

Abstract: This case assesses the plethora of issues related to rule-based decision engine technology, and in particular, its role in complex and dynamic organizational processes. This paper argues rule-based engines can effectively be implemented for good organizational decision making, even in environments consisting of large volumes of volatile data. Further, this case argues for the necessity of the successful integration of such rule-based technology for effectual management, improved information quality and superior decision making. This argument is conducted by analyzing the pre and post implementation situation at Capital One, a leading credit card and financial services company which has successfully implemented a large-scale rule-based decision engine system, as a component of its core debt collections processes, to achieve a hallmark competitive edge.

Keywords: Rule-based decision; Rule-based engine; Debt collection; Capital One; Project Edison (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S026840120500112X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:26:y:2006:i:1:p:81-88

DOI: 10.1016/j.ijinfomgt.2005.10.002

Access Statistics for this article

International Journal of Information Management is currently edited by Yogesh K. Dwivedi

More articles in International Journal of Information Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().