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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • 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