Editorial: “Innovation, technology and the green transition: towards a more resource-efficient and competitive economy”

• Published in: Journal of science and technology policy management (Online) 2022-06, Vol.13 (2), p.189-194
• Main Author: Patricia Ordoñez de Pablos
• Format: Article
• Language: English
• Subjects: Analytic hierarchy process; Artificial intelligence; Blockchain; Business models; Coronaviruses; COVID-19; Data collection; Economic development; Expenditures; Extraction; GDP; Government industry relations; Gross Domestic Product; Indicators; Innovations; Internalization; Internet of Things; Medical research; Mining industry; Pandemics; Performance management; Political factors; Quarantine; Questionnaires; R&D; Research & development; Research & development expenditures; Research centers; Robotics; Stakeholders; Success factors; Technology; Technology adoption; Value chain
• ISSN: 2053-4620; 2053-4639
• DOI: 10.1108/JSTPM-06-2022-184

[...]innovation policy should be suitable for attaining aims, which are different at each economic development stage. [...]seven lessons from three prosperous Asian countries are crucial for economic development: securing political stability; increasing R&D expenditures; facilitating the acquisition, diffusion and internalization of technology; encouraging government–industry–university collaborations; using the selection and concentration strategy; changing the governmental role from regulator to facilitator; and establishing a legal framework”. The paper titled “Comprehensive evaluation of Iranian regional innovation system (RIS) performance using analytic hierarchy process (AHP)” (by Ali Asghar Sadabadi, Zohreh Rahimi Rad and Kiarash Fartash) provides “a model based on the context and conditions of the regions in Iran for monitoring regional innovation systems (RISs). [...]after the extraction and correction of the indicators to evaluate the RISs, a comprehensive model was identified in 5 dimensions, 16 indicators and 176 sub-indicators.