The role of foreign technologies and R&D in innovation processes within catching-up CEE countries
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F21%3A39917956" target="_blank" >RIV/00216275:25410/21:39917956 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14560/21:00119000
Result on the web
<a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0250307" target="_blank" >https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0250307</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0250307" target="_blank" >10.1371/journal.pone.0250307</a>
Alternative languages
Result language
angličtina
Original language name
The role of foreign technologies and R&D in innovation processes within catching-up CEE countries
Original language description
Prior research showed that there is a growing consensus among researchers, which point out a key role of external knowledge sources such as external R&D and technologies in enhancing firms ' innovation. However, firms ' from catching-up Central and Eastern European (CEE) countries have already shown in the past that their innovation models differ from those applied, for example, in Western Europe. This study therefore introduces a novel two-staged model combining artificial neural networks and random forests to reveal the importance of internal and external factors influencing firms ' innovation performance in the case of 3,361 firms from six catching-up CEE countries (Czech Republic, Slovakia, Poland, Estonia, Latvia and Lithuania), by using the World Banks ' Enterprise Survey data from 2019. We confirm the hypothesis that innovators in the catching-up CEE countries depend more on internal knowledge sources and, moreover, that participation in the firms groups represents an important factor of firms ' innovation. Surprisingly, we reject the hypothesis that foreign technologies are a crucial source of external knowledge. This study contributes to the theories of open innovation and absorptive capacity in the context of selected CEE countries and provides several practical implications for firms.
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
50601 - Political science
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
PLoS One
ISSN
1932-6203
e-ISSN
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Volume of the periodical
16
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
23
Pages from-to
"e0250307"
UT code for WoS article
000644138300096
EID of the result in the Scopus database
2-s2.0-85104717343