dc.contributor.advisor | Sindre Lorentzen | |
dc.contributor.author | Mataev, Deni | |
dc.contributor.author | Mahmoudi, Ehsan | |
dc.date.accessioned | 2022-10-07T15:51:31Z | |
dc.date.available | 2022-10-07T15:51:31Z | |
dc.date.issued | 2022 | |
dc.identifier | no.uis:inspera:106559361:22947462 | |
dc.identifier.uri | https://hdl.handle.net/11250/3024574 | |
dc.description.abstract | Risk within digitalization is an increasingly relevant subject and there is no
established framework on identifying risks in the development of new digital
tools and processes. To this end, this thesis seeks to establish a recently developed
method of utilizing Bayesian Networks to visualize risk within projects.
In cooperation with Aker Solutions, the currently developing NOA Digital
Project is analyzed and assessed for its risks and opportunities.
By establishing a risk picture specific to the project, a generalized network of
risks within digitalization projects is developed. An emphasis is put on examining
how different aspects of project management and company culture
affected the project’s overall risk picture, helping the identification of risk reducing
measures. The generalized network and the proposed risk reducing
measures of this thesis can serve as a framework for various projects across
different industries and its use is illustrated by the case study of the NOA
Digital Project. | |
dc.description.abstract | Risk within digitalization is an increasingly relevant subject and there is no
established framework on identifying risks in the development of new digital
tools and processes. To this end, this thesis seeks to establish a recently developed
method of utilizing Bayesian Networks to visualize risk within projects.
In cooperation with Aker Solutions, the currently developing NOA Digital
Project is analyzed and assessed for its risks and opportunities.
By establishing a risk picture specific to the project, a generalized network of
risks within digitalization projects is developed. An emphasis is put on examining
how different aspects of project management and company culture
affected the project’s overall risk picture, helping the identification of risk reducing
measures. The generalized network and the proposed risk reducing
measures of this thesis can serve as a framework for various projects across
different industries and its use is illustrated by the case study of the NOA
Digital Project. | |
dc.language | eng | |
dc.publisher | uis | |
dc.title | Assessing Risks and Opportunities within Digitalization Projects through Bayesian
Networks: A Case Study of Aker Solutions' NOA Digital Project | |
dc.type | Master thesis | |