Petroleum Business Review

Abstract 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.

Abstract Knowledge and technology can be used to gain business benefits in organizations. In this regard, in addition to using technology in the production of products, technology commercialization to transfer technology to other organizations is considered a practical approach to gaining business benefits. Accordingly, this study aims to identify and prioritize commercialization components in Iran’s gas and oil industry to transfer technology to other industries and organizations since there is high potential to commercialize and transfer technology in this industry. After reviewing the previous literature and interviewing experts using semi-structured questions and the snowball sampling method, 46 attributes are detected and classified as 10 main components. Then, the confirmatory factor analysis method in SMART PLS software confirms the 44 attributes in 10 components. Shannon’s entropy and WASPAS methods are used to weigh and prioritize the extracted components. As a result of this research, the three main priorities of importance in the components of commercialization are identified: the “enterprise capabilities of technology transfer”, “technological capabilities and resources”, and “independent technology commercialization strategies in the oil and gas industry

Abstract Special attention to the relative advantages of the economy is the best way toward economic development of the country. The chemical sector, due to the country's advantage, owing to its considerable natural oil and gas resources, high variety of products, technology and market, has a significant charm and scope for technological innovation and development. Nowadays, the country's political and economic status has created opportunities for chemicals, but Existing policies have merely increased scientific research articles and in practice it has not cause to technological innovation (Patent).
The first step in the policies for this sector, understanding the factors that influence firms to technology innovation. Therefore, the purpose of this study is to analyze of factors affecting the management of technological innovation in the chemical industry to provide solutions. In this paper, the factors, were investigated by using verification factor analysis and structural equations. Then, the relative importance of each factor was determined based on the Fuzzy BWM method. The results of the present study indicated that, R&D ability, R&D efforts, Sustainable Profitability With the most votes and low-risk chemical synthesis, less chemical waste science and technology diplomacy were ranked last.