Balancing the Exotic with the Safe : Basis for Research Investment Prioritization at Neste
Niemi-Hukkala, Valtteri (2026)
Niemi-Hukkala, Valtteri
2026
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202604247677
https://urn.fi/URN:NBN:fi:amk-202604247677
Tiivistelmä
This thesis addresses the need to effectively manage limited resources in experimental research. The research problem focuses on prioritizing research infrastructure investments within Neste's T&I unit to maximize impact. The task of this study is to identify critical evaluation factors and establish a basis for a prioritization model that aligns experimental capabilities with corporate strategy.
The theoretical framework builds on a model evaluating projects based on Relevance, Reasonableness, Risk, and Return. Key concepts involve project portfolio management and strategic alignment. The methodology utilizes a quantitative survey design targeting corporate stakeholders. The data was analyzed using factor analysis to validate criteria and correlation analysis to test relationships between prioritization factors and project success.
The findings reveal that project return splits into distinct internal and external dimensions. Reasonableness and risk effectively predict operational returns, whereas strategic relevance functions as a mandatory gatekeeper. The study concludes that a prioritization model must balance operational efficiency with strategic growth. The research recommends integrating a tailored evaluation framework directly into the corporate investment process.
The theoretical framework builds on a model evaluating projects based on Relevance, Reasonableness, Risk, and Return. Key concepts involve project portfolio management and strategic alignment. The methodology utilizes a quantitative survey design targeting corporate stakeholders. The data was analyzed using factor analysis to validate criteria and correlation analysis to test relationships between prioritization factors and project success.
The findings reveal that project return splits into distinct internal and external dimensions. Reasonableness and risk effectively predict operational returns, whereas strategic relevance functions as a mandatory gatekeeper. The study concludes that a prioritization model must balance operational efficiency with strategic growth. The research recommends integrating a tailored evaluation framework directly into the corporate investment process.
