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Supporting the transformation of a company's project management by elaborating an invariant-based project management maturity model and a causal predictive model between maturity criteria and project performance

Abstract : This thesis, performed in collaboration with the company SOPRA STERIA, proposes the architecture of a system for predicting the performance of a project. To develop such an architecture, we defined what project management maturity is in a rigorous and abstract way. Then we develop a methodology to create models that explain the causal relationship between project management maturity and the operational performance of projects, specifically the predicting cost overrun risks in engineering projects. Our work has the following contributions: - Proposal of a maturity model for project management evaluation more abstract and concise than the existing ones - Application of the proposed model to projects in the specific industrial environment (agile project management). We used that model to develop a methodology to move from classical project management to agile project management. - Choice of a causal modeling technique, in the field of Artificial Intelligence, adapted to the world of project management. - Proposal of a methodology to clarify the link between project management maturity and cost overrun risks in engineering projects. Our proposals were validated on the expertise of consultants and data from large engineering projects. Nevertheless, our methodology and models are general enough to go beyond the strict framework of these sectors.
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https://hal.univ-lorraine.fr/tel-02555923
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  • HAL Id : tel-02555923, version 1

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Felipe Sanchez Garzon. Supporting the transformation of a company's project management by elaborating an invariant-based project management maturity model and a causal predictive model between maturity criteria and project performance. Business administration. Université de Lorraine, 2019. English. ⟨NNT : 2019LORR0245⟩. ⟨tel-02555923⟩

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