USE OF DECISION TREES FOR PREDICTION OF PROJECT PERFORMANCE
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F16%3A86097898" target="_blank" >RIV/61989100:27510/16:86097898 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
USE OF DECISION TREES FOR PREDICTION OF PROJECT PERFORMANCE
Original language description
In today's changing world, the project management risks have to be taken into account by all project focused organizations. One big risk associated with project is a risk of project failure. To increase likelihood of project success, it is important to be able to identify drivers of success. Big advantage of decision trees is possibility of identification the importance of variables. Decision makers have thus a powerful tool in their hands and can determine which project characteristics are important for project success and can focus efforts of project team on them. Another advantage of decision trees is the easiness of visualization, implementing into existing systems and understanding by non-technical people. Decision trees are simply a set of IF-THEN rules. In this study decision trees are used to predict success of development projects of the World Bank. The most important variables identified are Overall Bank Performance, Overall Borrower Performance, Bank Quality of Supervision, Bank Quality at Entry, Implementing Agency Performance and Government Performance. Other variables play only a minor role. Performance of predictive decision tree model was high with accuracy 93.13 % and specificity 89.17 %, so the benefit of decision tree usage was proven.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IDIMT-2016 : Information Technology, Society and Economy Strategic Cross-Influences : 24th Interdisciplinary Information Management Talks : Sept. 7-9, 2016, Poděbrady, Czech Republic
ISBN
978-3-99033-869-8
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
375-381
Publisher name
Trauner
Place of publication
Linz
Event location
Poděbrady
Event date
Sep 7, 2016
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000387756100042