A Strategic Model for Optimizing R&D Project Portfolios: Lessons from the Iranian Energy Sector

Many organizations in the power and energy sector rely on research and development (R&D) projects to achieve their strategic goals. Given the simultaneous execution of multiple projects, managing R&D portfolios effectively has become an essential capability for adapting to environmental changes and maintaining competitive advantage. This study aims to present a model that identifies and prioritizes the factors influencing R&D portfolio management in the energy sector. Employing a mixed-method approach, the research integrates qualitative data collected through interviews with fifteen experts in the energy sector—analyzed using grounded theory via MAXQDA ۲۰۲۰—with quantitative data from ۱۳۴ managers and experts, analyzed using Smart PLS V.۳. In the qualitative phase, ۱۰۵ codes were categorized into six dimensions, with ۱۷ codes excluded during factor analysis, resulting in a validated model comprising ۸۸ codes across six dimensions. The proposed model emphasizes critical factors such as project selection, project evaluation, project definition, budget allocation, portfolio analysis, and addressing challenges in portfolio integration. By balancing these dimensions, the model aims to reduce risks, optimize resource allocation, and enhance the probability of commercial success for R&D projects. This study offers new insights into R&D portfolio management in the Iranian energy industry, addressing the unique challenges of this sector. It provides a systematic framework for selecting, evaluating, and balancing R&D projects while aligning with organizational strategies to ensure the effective commercialization of research outcomes. The findings also stress the importance of integrating local investment in R&D to drive technological innovation and sustainable economic development in the energy sector.

کلیدواژه ها:

R& D ، Project Portfolio Management ، Energy Industry ، R& D project portfolio managemen