The Linear Conditional Probability Matrix Generator for IT governance performance prediction
2008 (English)In: MSVVEIS 2008: MODELLING, SIMULATION, VERIFICATION AND VALIDATION OF ENTERPRISE INFORMATION SYSTEMS, SETUBAL: INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION , 2008, 170-179 p.Conference paper (Refereed)
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT governance performance, and cannot be controlled by IT management directly. Their realm of control includes IT governance maturity, indicated by e.g. different IT activities, documents, metrics and roles. Current IT governance frameworks are suitable for describing IT governance, but lack the ability to predict how changes to the IT governance maturity indicators affect the IT governance performance. This paper presents a Bayesian network for IT governance performance prediction, learned with experience from 35 case studies. The network learns using the proposed Linear Conditional Probability Matrix Generator. The resulting Bayesian network for IT governance performance prediction can be used to support IT governance decision-making.
Place, publisher, year, edition, pages
SETUBAL: INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION , 2008. 170-179 p.
Production Engineering, Human Work Science and Ergonomics Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-36470ISI: 000258909200019ScopusID: 2-s2.0-58049172282ISBN: 978-989-8111-43-2OAI: oai:DiVA.org:kth-36470DiVA: diva2:430876
6th International Workshop on Security in Information Systems held in Conjunction with the ICEIS Barcelona, SPAIN, JUN, 2008
QC 201107132011-07-132011-07-122011-07-13Bibliographically approved