Key research themes
1. How do institutional dynamics and network structures shape the evolution and function of industrial and innovation networks?
This theme investigates the interplay between institutional forces, collective actions, and network configurations in shaping the stability, change, and innovation dynamics within industrial and innovation networks. Understanding this interaction is essential for grasping how industrial networks evolve, how cooperation emerges beyond formal contractual arrangements, and how policy interventions can effectively support innovation by leveraging network intermediaries.
2. What network-based metrics and methodologies enable the measurement and monitoring of innovation ecosystems and socio-technical transitions?
Research in this area focuses on developing and applying network science and social network analysis tools to quantify, visualize, and monitor innovation ecosystems and socio-technical transitions. Accurate measurement of structural characteristics in entrepreneurial ecosystems, innovation portfolios, and technology transfer networks informs policy-making and program evaluation aimed at fostering transformative innovation and sustainable development.
3. How do knowledge dynamics and technological convergence manifest in techno-economic networks, and what implications do these have for innovation management?
This research theme explores the internal knowledge structures, innovation trajectories, and technological convergence processes within techno-economic networks. By applying knowledge-based network analysis and patent data, it elucidates how firms integrate, explore, and recombine knowledge across domains. Insights into technology convergence, especially regarding the role of ICT as a general-purpose technology, inform strategies for innovation management and policy design to support sustainable technological development.