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Information Systems Management Volume 31, 2014 - Issue 1
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Quantifying Success Factors for IT Projects—An Expert-Based Bayesian Model

Liv Gingnell Industrial Information and Control Systems, KTH Royal Institute of Technology, Stockholm, SwedenCorrespondence[email protected]
,
Ulrik Franke Industrial Information and Control Systems, KTH Royal Institute of Technology, Stockholm, Sweden; Swedish Defence Research Agency (FOI), Stockholm, Sweden
,
Robert Lagerström Industrial Information and Control Systems, KTH Royal Institute of Technology, Stockholm, Sweden
,
Evelina Ericsson Industrial Information and Control Systems, KTH Royal Institute of Technology, Stockholm, Sweden
&
Joakim Lilliesköld Industrial Information and Control Systems, KTH Royal Institute of Technology, Stockholm, Sweden
Pages 21-36 | Published online: 13 Jan 2014
 
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Abstract

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.

Notes

Colors versions of one or more of the figures in this article can be found online at http://www.tandfonline.com/uism.

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