First Advisor

Tugrul U. Daim

Term of Graduation

Summer 2020

Date of Publication


Document Type


Degree Name

Doctor of Philosophy (Ph.D.) in Technology Management


Engineering and Technology Management




Research and development projects, Multiple criteria decision making, Electric power transmission, Electric utilities



Physical Description

1 online resource (xviii, 242 pages)


R&D project selection is essential for many organizations; however, it is a complex decision since it is affected by many factors. These factors vary among organizations because of their different objectives and conditions. There are limited budgets for the investments, and the current R&D project selection methods are focused on financial analysis or complex mathematical probabilistic calculations. Therefore, the main motivation of this research is to create a method to help improve the ex-ante selection of R&D projects in regulated organizations. More importantly, the case application is the electric transmission utilities sector, which plays one of the most critical roles in the entire electric power system.

The main objective of this research is to develop a model to select R&D projects based on a holistic approach aligned to strategies, utility objectives, and market conditions in the electric transmission sector. At the same time, it identifies, categorizes, and quantifies the factors associated with R&D projects in the power sector. The analysis is framed into a multi-criteria model (Hierarchical Decision Model - HDM [1]), which considers all the aspects associated with R&D projects. The model and the application are potentially applicable to non-profit and regulated organizations around the world. Moreover, the flexibility of the model allows it to be adopted by electric transmission utilities with similar characteristics to utilities in the United States. This study provides an extensive literature review about regulated organizations, and more specifically about electric transmission utilities. Additionally, a complete analysis of criteria and sub-criteria has been done. There are gaps in the literature that have been identified and that support the idea of using a multi-criteria analysis to evaluate R&D projects. The methodology is described, and the application of the model is provided.


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