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Major Determinants of Innovation Performance in the Context of Healthcare Sector

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96773" target="_blank" >RIV/60460709:41110/23:96773 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.3390/ijerph20065007" target="_blank" >https://doi.org/10.3390/ijerph20065007</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/ijerph20065007" target="_blank" >10.3390/ijerph20065007</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Major Determinants of Innovation Performance in the Context of Healthcare Sector

  • Original language description

    Through the innovation network (IN) and the use of artificial intelligence (AI), this study aims to look into the innovation performance (IP) of the healthcare industry. Digital innovation (DI) is also tested as a mediator. For the collection of data, cross-sectional methods and quantitative research designs were used. To test the study hypotheses, the SEM technique and multiple regression technique were used. Results reveal that AI and the innovation network support the attainment of innovation performance. The finding demonstrates that the relationship between INs and IP links and AI adoption and IP links is mediated through DI. The healthcare industry plays a vital role in facilitating public health and improving the living standards of the people. This sector’s growth and development are largely dependent on its innovativeness. This study highlights the major determinants of IP in the healthcare industry in terms of IN and AI adoption. This study adds to the literature’s knowledge via an innovative proposal in which the mediation role of DI among IN-IP and AI adoption-innovation links is investigated.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Environmental Research and Public Health

  • ISSN

    1660-4601

  • e-ISSN

    1660-4601

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    2023-03-01

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85151112038