Configuration Paths to Efficient National Innovation Ecosystems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F21%3A39917957" target="_blank" >RIV/00216275:25410/21:39917957 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0040162521002195?dgcid=rss_sd_all" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0040162521002195?dgcid=rss_sd_all</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.techfore.2021.120787" target="_blank" >10.1016/j.techfore.2021.120787</a>
Alternative languages
Result language
angličtina
Original language name
Configuration Paths to Efficient National Innovation Ecosystems
Original language description
Efficient National Innovation Ecosystems (NIEs) create appropriate conditions for the generation of new knowledge, collaboration, and innovation, which are key determinants of countries' economic growth and competitiveness in the era of a globalized, knowledge-based economy. Prior studies have therefore focused on measuring both the efficiency of NIEs and key attributes occurring within them. This has led to the assessment of countries in terms of their ability to effectively convert inputs into outputs and has provided a benchmark for less successful economies and their NIEs by using Data Envelopment Analysis (DEA) and its modifications. However, while these methods have measured the efficiency of individual economic entities, they do not show how to achieve this efficiency. Therefore, we propose a novel, hybrid two-step model combining DEA and fuzzy-set Qualitative Comparative Analysis. This enables us to examine the relationships between all possible combinations of inputs and outputs within the NIEs of OECD countries and to identify configuration paths showing how to achieve effective outputs in terms of cooperation, knowledge creation, and innovation. We also show that countries could benefit from multiplication and crowding-in effects emerging from combinations of different R&D expenditures rather than from one financial source.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
<a href="/en/project/GA20-03037S" target="_blank" >GA20-03037S: Towards a dynamic knowledge-based business model for open innovations</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Technological Forecasting and Social Change
ISSN
0040-1625
e-ISSN
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Volume of the periodical
168
Issue of the periodical within the volume
July 2021
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
120787
UT code for WoS article
000651337500015
EID of the result in the Scopus database
2-s2.0-85103948119