Quantifying Success Factors for IT Projects-An Expert-Based Bayesian Model
2014 (English)In: Information systems management, ISSN 1058-0530, E-ISSN 1934-8703, Vol. 31, no 1, 21-36 p.Article in journal (Refereed) Published
Large investments are made annually to develop and maintain IT systems. Successful outcome of IT projects is therefore crucial for the economy. Yet, many IT projects fail completely or are delayed or over budget, or they end up with less functionality than planned. This article describes a Bayesian decision-support model. The model is based on expert elicited data from 51 experts. Using this model, the effect management decisions have upon projects can be estimated beforehand, thus providing decision support for the improvement of IT project performance.
Place, publisher, year, edition, pages
Taylor & Francis Group, 2014. Vol. 31, no 1, 21-36 p.
IT project success factors, decision support, Bayesian networks, Noisy-OR, expert elicitation
Other Engineering and Technologies
IdentifiersURN: urn:nbn:se:kth:diva-129084DOI: 10.1080/10580530.2014.854033ISI: 000329911500003ScopusID: 2-s2.0-84892973418OAI: oai:DiVA.org:kth-129084DiVA: diva2:649950
QC 20140131. Updated from accepted to published.2013-09-192013-09-192014-07-02Bibliographically approved