Selection of IT projects to be implemented in an organisation to maximise their success probability
| Autor: | Kazimierz Frączkowski, Stanisław Stanek, Barbara Gładysz, Dorota Kuchta |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Decision support system
Project success Process management Computer science Decision tree learning 05 social sciences Sample (statistics) 02 engineering and technology Library and Information Sciences Management Information Systems Project success factors Order (business) 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 050203 business & management Selection (genetic algorithm) |
| Zdroj: | Journal of Decision Systems. 27:111-122 |
| ISSN: | 2116-7052 1246-0125 |
| Popis: | The paper proposes criteria to be used in a decision support system which should help to assess the success probability of IT projects considered for implementation, in order to help to make the decision whether to accept the project or not. The criteria used are both of a quantitative and subjective (qualitative) nature. They are identified on the basis of a sample of IT projects implemented in Poland, a questionnaire and the application of classification tree methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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