Dominant trends in intersectoral research on funding innovation in business companies: A bibliometric analysis approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F22%3A91646" target="_blank" >RIV/60460709:41110/22:91646 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2444569X22001068" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2444569X22001068</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jik.2022.100271" target="_blank" >10.1016/j.jik.2022.100271</a>
Alternative languages
Result language
angličtina
Original language name
Dominant trends in intersectoral research on funding innovation in business companies: A bibliometric analysis approach
Original language description
Our paper develops theoretical and methodological principles of grounding assessing the dominant trends in intersectoral academic research related linked to the main tools and instruments of funding innovations in business companies. We employ the analytical approach as well as the two-stage bibliometric analysis of scientific articles published in the past 80 years and indexed in Scopus abstract and citation database which has been selected for its clarity, coverage, as well as its scope. In addition, we employ the outcomes of analytical analysis conducted using with the help of Google Trends tool. This approach described above allowed allows us to compare the peak periods for the changing the search queries of main concepts on this problem with the periods of the most significant events in the innovation sphere and financial policy. Moreover, we apply the VOSViewer software for identifying the dominant trends in intersectoral research related to funding innovation of business companies, as well as
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
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Innovation & Knowledge
ISSN
2530-7614
e-ISSN
2444-569X
Volume of the periodical
7
Issue of the periodical within the volume
4
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
12
Pages from-to
1-12
UT code for WoS article
000882204700002
EID of the result in the Scopus database
2-s2.0-85140805465