-
Je něco špatně v tomto záznamu ?
Major Determinants of Innovation Performance in the Context of Healthcare Sector
AA. Nassani, A. Javed, J. Rosak-Szyrocka, L. Pilar, Z. Yousaf, M. Haffar
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
NLK
Free Medical Journals
od 2004
PubMed Central
od 2005
Europe PubMed Central
od 2005
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2004-01-01
Open Access Digital Library
od 2005-01-01
Medline Complete (EBSCOhost)
od 2008-12-01
Health & Medicine (ProQuest)
od 2009-01-01
Public Health Database (ProQuest)
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2004
PubMed
36981916
DOI
10.3390/ijerph20065007
Knihovny.cz E-zdroje
- MeSH
- kreativita MeSH
- lidé MeSH
- průřezové studie MeSH
- regresní analýza MeSH
- sektor zdravotní péče * MeSH
- umělá inteligence * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
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.
Department of Management Birmingham Business School University of Birmingham Birmingham B15 2TY UK
Department of Management Sciences Hazara University Mansehra 21120 Pakistan
Higher Education Department Government College of Management Sciences Mansehra 21300 Pakistan
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc23003835
- 003
- CZ-PrNML
- 005
- 20230425140917.0
- 007
- ta
- 008
- 230418s2023 sz f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.3390/ijerph20065007 $2 doi
- 035 __
- $a (PubMed)36981916
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a sz
- 100 1_
- $a Nassani, Abdelmohsen A $u Department of Management, College of Business Administration, King Saud University, P.O. Box. 71115, Riyadh 11587, Saudi Arabia $1 https://orcid.org/0000000196588299
- 245 10
- $a Major Determinants of Innovation Performance in the Context of Healthcare Sector / $c AA. Nassani, A. Javed, J. Rosak-Szyrocka, L. Pilar, Z. Yousaf, M. Haffar
- 520 9_
- $a 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.
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a sektor zdravotní péče $7 D019981
- 650 12
- $a umělá inteligence $7 D001185
- 650 _2
- $a průřezové studie $7 D003430
- 650 _2
- $a kreativita $7 D003405
- 650 _2
- $a regresní analýza $7 D012044
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Javed, Asad $u Department of Management Sciences, Hazara University, Mansehra 21120, Pakistan
- 700 1_
- $a Rosak-Szyrocka, Joanna $u Department of Production Engineering and Safety, Faculty of Management, Czestochowa University of Technology, 42-200 Czestochowa, Poland $1 https://orcid.org/0000000255486787
- 700 1_
- $a Pilar, Ladislav $u Department of Management, Faculty of Economics and Management, Czech University of Life Sciences Prague, 16500 Prague, Czech Republic $1 https://orcid.org/0000000176247323
- 700 1_
- $a Yousaf, Zahid $u Higher Education Department, Government College of Management Sciences, Mansehra 21300, Pakistan $1 https://orcid.org/0000000279039420
- 700 1_
- $a Haffar, Mohamed $u Department of Management, Birmingham Business School, University of Birmingham, Birmingham B15 2TY, UK $1 https://orcid.org/0000000171040024
- 773 0_
- $w MED00176090 $t International journal of environmental research and public health $x 1660-4601 $g Roč. 20, č. 6 (2023)
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/36981916 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20230418 $b ABA008
- 991 __
- $a 20230425140913 $b ABA008
- 999 __
- $a ok $b bmc $g 1924480 $s 1190044
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2023 $b 20 $c 6 $e 20230312 $i 1660-4601 $m International journal of environmental research and public health $n Int. j. environ. res. public health $x MED00176090
- LZP __
- $a Pubmed-20230418