درخت حوزه‌های تخصصی

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 2020—with quantitative data from 134 managers and experts, analyzed using Smart PLS V.3. In the qualitative phase, 105 codes were categorized into six dimensions, with 17 codes excluded during factor analysis, resulting in a validated model comprising 88 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.

Iran faces persistent challenges in balancing energy demand and sustainability, driven by limited social participation and the absence of integrated policy frameworks. This study introduces an innovative hybrid decision-making approach that combines PESTEL, SWOT, and Analytic Hierarchy Process (AHP) models to identify, evaluate, and prioritize strategies for enhancing public participation in sustainable energy management. The research adopts a mixed-method design, integrating qualitative expert interviews and content analysis in MAXQDA with quantitative weighting and ranking through Expert Choice AHP. The proposed framework captures both macro-environmental influences and internal institutional capacities, linking social-behavioral insights with data-driven prioritization. Results indicate that developing targeted educational programs and creating interactive digital platforms are the highest-priority strategies, with normalized weights of 0.35 and 0.30, respectively, followed by local collaboration networks and incentive-based policies. The findings reveal that applying a combined social and analytical modeling approach can increase public participation potential by over 60 % and contribute to a 25 % reduction in energy consumption in the medium term. The study offers a novel quantitative–qualitative framework adaptable for developing countries seeking to operationalize community engagement within national energy transition policies.

The present study aims to examine and explain the role of rail transport in Iran’s economic development from the customers' perspective. This research was conducted using a survey method, employing a questionnaire distributed among 384 rail transport customers. The validity of the questionnaire was confirmed by five experts, and its reliability was assessed through Cronbach’s alpha coefficient, with values exceeding 0.7 for all variables, indicating satisfactory reliability of the measurement tool. Data analysis was performed using SPSS software. The results revealed that rail transport has a significant impact on attracting global business opportunities, economic competitiveness, traffic congestion reduction, and road maintenance. Additionally, this study examined the relationship between rail infrastructure development and its impact on economic productivity. The findings indicated that increased investment in the rail transport sector can enhance transportation efficiency and improve Iran's trade conditions. One of the most critical outcomes of this study was identifying the challenges hindering the expansion of the rail system, including high development costs and a lack of attractiveness for private investors. This research can assist policymakers in developing appropriate strategies to improve rail transport. The findings align with international studies in this field, emphasizing the importance of this sector in sustainable economic development. It is recommended that precise planning be undertaken to expand rail networks and enhance service quality in this domain