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A Bayesian Network for IT Governance Performance Prediction
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3089-3885
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0002-3293-1681
2008 (English)In: Proceedings of the 10th International Con-ference on Electronic Commerce, 2008Conference paper, Published paper (Refereed)
Abstract [en]

The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to sup-port IT‟s role as a business enabler. The latter is an ability of an organization here denoted as IT gover-nance performance. IT management cannot control the IT governance performance directly. Instead, their realm of control includes several IT governance maturity indicators such as the existence of different IT activities, documents, metrics and roles. Current IT governance frameworks are suitable for describing IT governance, IT-systems, and business processes, but lack the ability to predict how changes to the IT gover-nance maturity indicators affect the IT governance performance. This paper presents a Bayesian network for IT governance performance prediction. Bayesian networks are widely used for goal modeling and prediction in other research fields. Data from 35 case studies conducted in a variety of organizations has been used to determine the behavior of the network. An assumption on linearity is introduced in order to compensate for the limited amount of data, and 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
2008.
Keyword [en]
IT Governance, Bayesian networks
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-9124DOI: 10.1145/1409540.1409542Scopus ID: 2-s2.0-65449158454OAI: oai:DiVA.org:kth-9124DiVA, id: diva2:24302
Note
QC 20100909Available from: 2008-09-22 Created: 2008-09-22 Last updated: 2018-01-13Bibliographically approved
In thesis
1. Predicting IT Governance Performance: A Method for Model-Based Decision Making
Open this publication in new window or tab >>Predicting IT Governance Performance: A Method for Model-Based Decision Making
2008 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

Contemporary enterprises are largely dependent on Information Technology (IT), which makes decision making on IT matters important. There are numerous issues that confuse IT decision making, including contradictive business needs, financial constraints, lack of communication between business and IT stakeholders and difficulty in understanding the often heterogeneous and integrated IT systems. The discipline of IT governance aims at providing the decision making structures, processes, and relational mechanisms, needed in order for IT to support and perpetuate the business. The adjacent discipline of enterprise architecture provides a broad range of frameworks and tools for model-based management of IT. Enterprise architecture is a commonly and successfully used approach, but the frameworks need to be adapted with respect to the concerns at stake in order to become truly useful.

The IT organization includes all people involved in decision making regarding IT. The quality of the IT organization differs between enterprises and depends on aspects such as: are rights and responsibilities assigned to the appropriate people, are formalized processes implemented, and does proper documentation exist? This internal IT organization efficiency is labeled IT governance maturity. One might argue that internal efficiency metrics of the IT organization are of moderate interest only. What really matters is the external effectiveness of services that the IT organization delivers to the business. This latter effectiveness is labeled IT governance performance. Even though it is reasonable to believe that enterprises with good IT governance maturity also achieve high IT governance performance, the validity of this assumption has never been tested. IT management’s ability to make well-informed decisions regarding internal IT organization matters would increase if it were possible to predict IT governance performance.

The contribution of this thesis is a method for model-based IT governance decision making. The method includes a metamodel, i.e. a modeling language, and a framework for the assessment of IT governance maturity and performance. The method also allows prediction of IT governance performance. 

This thesis is a composite thesis consisting of four papers and an introduction. Paper A presents an overview of the method for model-based IT governance decision making. Paper B presents the mathematical foundation of the prediction apparatus, i.e. a Bayesian network that is based on statistical data. Paper C presents how the method can be used in practice to support IT governance decision making. Finally, Paper D analyzes the correlation of IT governance maturity and performance. The analysis is based on statistical data from case studies in 35 organizations.

Place, publisher, year, edition, pages
Stockholm: KTH, 2008. p. ix, 28
Series
Trita-EE, ISSN 1653-5146 ; 2008:42
Keyword
IT governance, IT governance maturity, IT governance performance, Enter-prise Architecture, Bayesian networks.
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:kth:diva-9129 (URN)
Public defence
2008-10-17, E1, KTH, Lindstedtsvägen 3, Stockholm, 10:00 (English)
Opponent
Supervisors
Note
QC 20100909Available from: 2008-10-03 Created: 2008-09-22 Last updated: 2018-01-13Bibliographically approved

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Lagerström, RobertJohnson, Pontus

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