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Extending data mining methodologies to encompass organizational factors
Journal article   Peer reviewed

Extending data mining methodologies to encompass organizational factors

Justin Debuse
Systems Research and Behavioral Science, Vol.24(2), pp.183-190
2007
DOI: https://doi.org/10.1002/sres.823
url
https://doi.org/10.1002/sres.823View
Published Version

Abstract

data mining information technology management information system strategies
Data mining has been applied to a wide range of applications in its relatively short existence, but much of the research to date has concentrated upon its more technical and algorithmic aspects at the expense of the overall system; existing methodologies are primarily guidelines for data mining specialists. This study aims to redress the balance by producing a new theoretical framework incorporating key systemic and contextual factors. The framework represents a new way of thinking about data mining, and can be used to reduce the number of projects that are technically sound but of little or no organizational benefit. Further, the framework strengthens the theoretical underpinnings of data mining by identifying essential systemic factors at every stage of the data mining process.

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Web Of Science research areas
Management
Social Sciences, Interdisciplinary
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