European regional policy making: A challenge for our collective intelligence
Smart specialization has emerged as a vital strategy for driving responsible research and innovation across Europe. Despite its growing importance, the integration of web-based platforms to support decision-making in policy contexts remains underexplored. This study addresses this gap by examining how such platforms can enhance stakeholder engagement and decision-making processes in regional innovation policies. Using structural equation modeling and survey data from 686 respondents across four European countries (United Kingdom/Scotland, Greece, the Netherlands and Spain), we uncover that the presence of both experienced and novice stakeholders does facilitate innovation policy effectiveness. Our findings reveal that stakeholders who find web-based applications valuable for smart specialization tend to have a more favorable view of the decision-making processes and express higher satisfaction with the consensus achieved. This research highlights that web-based platforms can effectively support stakeholder engagement regardless of policy expertise levels, offering significant benefits for regional policymaking. Based on our research, integrating web-based applications into smart specialization strategies will enhance decision-making, support diverse stakeholders and improve overall policy effectiveness. • "Smart specialization drives responsible innovation strategies. • "Web-based tools enhance consensus in policy-making. • "Diverse stakeholders benefit from web apps. • "Inexperienced stakeholders contribute to innovation policy. • "Empowering engagement for better policy outcomes.
Authors
- Katharina Fellnhofer (ORCID: https://orcid.org/0000-0002-8421-1547)
- Margarita Angelidou (ORCID: https://orcid.org/0000-0001-6623-9741)
Institutions
- Aristotle University of Thessaloniki (GR)
- ETH Zurich (CH)
- Centre for Social Innovation (AT)
Publication Details
- Journal
- Environmental Science & Policy
- Published
- 2024-09-21
- DOI
- https://doi.org/10.1016/j.envsci.2024.103898
- Citations
- 2
- Primary Topic
- University-Industry-Government Innovation Models
- Type
- article
- Field-Weighted Citation Impact
- 1.46
Funders
- European Commission
- Horizon 2020 Framework Programme