Browsing by Subject "National innovation system"
Now showing 1 - 3 of 3
- Results Per Page
- Sort Options
Publication Celebrating 30 years of Innovation System research : what you need to know about Innovation Systems(2016) Klein, Malte; Sauer, AndreasOn the occasion of the 30th anniversary of Innovation System research, this paper presents an extensive literature review on this large field of innovation research. Building on an analytical basis of the commonalities “system” and “innovation”, the authors analyze the four main Innovation System approaches: National Innovation Systems (NIS), Regional Innovation Systems (RIS), Sectoral Innovation Systems (SIS) and Technological Innovation Systems (TIS). The analysis is structured systematically along ten comprehensive criteria. Starting with the founder(s) of each theory and the research program within each Innovation System approach was developed (1), the basic thoughts of each Innovation System approach are explained (2). For five case studies most cited (3), spatial boundaries are examined (4) and units of analyses are derived (5). By comparing the underlying theoretical concept and empirical results, the authors show patterns in the evolution of Innovation System research overall. By studying the basic components (6) and a functional analysis (7), each Innovation System approach is broken down into structural pieces and functional processes. If available, the authors present one or several taxonomies (8) for each Innovation System approach and summarize similar approaches (9), in order to classify and integrate the approaches into the ongoing innovation research. The identification of further research (10) shows which steps will need to be taken in the next years in order to evolve Innovation System research further and deeper. After the conclusion, the extensive table of comparison is presented which can serve as a guideline for academics and practitioners from basic and applied science, industry or policy that need to understand which Innovation System approach may be best for their specific analytical purposes.Publication Has the German reunification strengthened Germany’s national innovation system? : Triple Helix dynamics of Germany’s innovation system(2016) Jun, Bogang; Yi, Seung-KyuThis paper investigates whether the German reunification strengthened the country’s national innovation system, using the Triple Helix model. In particular, it assesses the various dimensions of the innovation system by analyzing co-authorship networks from 1973 to 2014. Despite the series of policies promoting collaboration between the two regions and the rise in the number of regional collaborations and in the number of papers, the results show that the national innovation system of Germany has worsened since the reunification in 1990, and the role of government is critical in encouraging collaboration. Finally, this paper uses survey data on the type of Triple Helix configuration that actually occurred in East Germany as a robustness check.Publication Ranking the performance of national innovation systems in the Iberian Peninsula and Latin America from a neo-Schumpeterian economics perspective(2014) Gomes, Luiz Flávio Autran Monteiro; Pereira, Javier; Pyka, Andreas; Paredes-Frigolett, HaroldWe present the results of an empirical study of the national innovation systems of countries in the Iberian Peninsula and Latin America from a comprehensive neo-Schumpeterian economics (CNSE) perspective. The empirical study covered the period from 2000 until 2011 and the countries analyzed are Argentina, Brazil, Chile, Mexico, Portugal, and Spain. Unlike previous approaches that used cluster analyses as a methodological framework to analyze national innovation systems from a CSNE perspective, we use a novel approach based on multicriteria decision analysis (MCDA) to rank innovation performance. We show how an MCDA approach can be followed in order to rank the performance of national innovation systems and provide an analysis of the results obtained at the financial, public and industry pillars of the CNSE model.