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