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Quantifying Success...
Quantifying Success Factors for IT Projects-An Expert-Based Bayesian Model
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- Gingnell, Liv (författare)
- KTH,Industriella informations- och styrsystem
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- Franke, Ulrik (författare)
- KTH,Industriella informations- och styrsystem
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- Lagerström, Robert (författare)
- KTH,Industriella informations- och styrsystem
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visa fler...
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- Ericsson, Evelina (författare)
- KTH,Industriella informations- och styrsystem
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- Lilliesköld, Joakim (författare)
- KTH,Industriella informations- och styrsystem
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visa färre...
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(creator_code:org_t)
- 2014-01-13
- 2014
- Engelska.
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Ingår i: Information systems management. - : Taylor & Francis Group. - 1058-0530 .- 1934-8703. ; 31:1, s. 21-36
- Relaterad länk:
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https://kth.diva-por... (primary) (Raw object)
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http://kth.diva-port...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies (hsv//eng)
Nyckelord
- IT project success factors
- decision support
- Bayesian networks
- Noisy-OR
- expert elicitation
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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