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Key factors for achieving organizational data‐mining success

Hamid R. Nemati (Information Systems and Operations Management Department, Bryan School of Business and Economics, The University of North Carolina, Greensboro, North Carolina, USA)
Christopher D. Barko (Information Systems and Operations Management Department, Bryan School of Business and Economics, The University of North Carolina, Greensboro, North Carolina, USA)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 1 June 2003

4257

Abstract

Project management factors affecting the implementation of IT projects have been widely studied; however, there is little empirical research investigating the implementation of organizational data‐mining (ODM) projects. ODM is defined as leveraging data‐mining tools and technologies to enhance the decision‐making process by transforming data into valuable and actionable knowledge to gain a competitive advantage. Organizations of all sizes are developing and implementing ODM technologies. A cross‐sectional survey based on The Square Route Framework was conducted to determine the relationship among project factors affecting ODM implementations. Findings from 111 organizations indicate that a number of implementation factors have a significant influence on the successful implementation of ODM projects.

Keywords

Citation

Nemati, H.R. and Barko, C.D. (2003), "Key factors for achieving organizational data‐mining success", Industrial Management & Data Systems, Vol. 103 No. 4, pp. 282-292. https://doi.org/10.1108/02635570310470692

Publisher

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MCB UP Ltd

Copyright © 2003, MCB UP Limited

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