Inferring comprehensible business/ICT alignment rules
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 reputati...
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Veröffentlicht in: | Information & management 2009-03, Vol.46 (2), p.116-124 |
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creator | Cumps, Bjorn Martens, David De Backer, Manu Haesen, Raf Viaene, Stijn Dedene, Guido Baesens, Bart Snoeck, Monique |
description | 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. |
doi_str_mv | 10.1016/j.im.2008.05.005 |
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subjects | Algorithms Alignment rule set Applied sciences Artificial ant systems Business/ICT alignment Computer science control theory systems Data mining Data processing. List processing. Character string processing Exact sciences and technology Information systems. Data bases Information technology Memory organisation. Data processing Practical guidelines Requirements Software Studies Technological planning |
title | Inferring comprehensible business/ICT alignment rules |
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