University of Twente Student Theses
Project Management Method Selection using Bayesian Networks : a Novel Approach
Kokkeler, Carlijn (2021) Project Management Method Selection using Bayesian Networks : a Novel Approach.
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| Abstract: | Selecting an appropriate project management method is important for achieving project success. There are two main project management methods: traditional and agile approaches. Traditional approaches are characterised by their adherence to a plan, established at the start of a project. In contrast, agile approaches emphasise adaptability and flexibility. The appropriate method for a project is dependent on project characteristics. Selecting a suitable method is a difficult task, so a decision model is desired. Considering that not much quantitative data is available, such a model could be constructed using Bayesian network modelling. Bayesian networks are probabilistic graphical models that express uncertain relationships between variables. These models can often be built in the absence of data. The purpose of this research is to investigate whether such a model for project management method selection can be built. It was found to be possible to construct a Bayesian network for selecting the appropriate approach, even without the availability of quantitative data. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 31 mathematics, 85 business administration, organizational science |
| Programme: | Business & IT BSc (56066) |
| Link to this item: | https://purl.utwente.nl/essays/86859 |
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