Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions
Summary. This paper develops a computational model called CARIS to understand how regional innovation systems in lagging European regions can become self-sustaining. The research identifies exploration capacity, cooperation propensity, and actor competencies as key drivers of innovation performance. The authors recommend policymakers invest in R&D, support public-private partnerships, strengthen universities, and increase researcher employment to improve regional innovation outcomes.
Cite this article
Ponsiglione, C., Quinto, I., & Zollo, G.. (2018). Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions. Sustainability. https://doi.org/10.3390/su10082862
Ponsiglione, Cristina, et al. “Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions.” Sustainability, 2018. https://doi.org/10.3390/su10082862.
Ponsiglione, Cristina, Ivana Quinto, and Giuseppe Zollo. 2018. “Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions.” Sustainability. https://doi.org/10.3390/su10082862.
@article{ponsiglione-2018-regional-innovation-systems-complex-adaptive,
title = {Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions},
author = {Cristina Ponsiglione and Ivana Quinto and Giuseppe Zollo},
journal = {Sustainability},
year = {2018},
doi = {10.3390/su10082862},
url = {https://doi.org/10.3390/su10082862}
}
TY - JOUR TI - Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions AU - Cristina Ponsiglione AU - Ivana Quinto AU - Giuseppe Zollo JO - Sustainability PY - 2018 DO - 10.3390/su10082862 UR - https://doi.org/10.3390/su10082862 ER -
Details
- DOI
- 10.3390/su10082862
- Countries
- Italy
- Regions
- Europe
- Categories
- regional-innovation-systems, policy, innovation-theory, general-innovation
- Added
- 2026-04-28