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Inferring comprehensible business/ICT alignment rules
Cumps, Bjorn Martens, David De Backer, Manu Haesen, Raf Viaene, Stijn Dedene, Guido Baesens, Bart Snoeck, Monique
Cumps, Bjorn
Martens, David
De Backer, Manu
Haesen, Raf
Viaene, Stijn
Dedene, Guido
Baesens, Bart
Snoeck, Monique
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Publication Type
Journal article with impact factor
Editor
Supervisor
Publication Year
2009
Journal
Information and Management
Book
Publication Volume
46
Publication Issue
2
Publication Begin page
116
Publication End page
124
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Abstract
We inferred business rules for business/ICT alignment by applying a novel rule induction algorithm on a data set containing rich alignment information polled from 641 organisations in 7 European countries. The alignment rule set was created using AntMiner+, a rule induction technique with a reputation of inducing accurate, comprehensible, and intuitive predictive models from data. Our data set consisted of 18 alignment practices distilled from an analysis of relevant publications and validated by a Delphi panel of experts. The goal of our study was to describe practical guidelines for managers in obtaining better alignment of ICT investments with business requirements. Our obtained rule set showed the multi-disciplinary nature of B/ICT alignment. We discuss implication of the alignment rules for practitioners.
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Keywords
Business/ICT alignment, Alignment Rule Set, Data Mining, Artificial Ant Systems, Practical Guidelines