Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well-being
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F23%3A63562398" target="_blank" >RIV/70883521:28120/23:63562398 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1111/1744-7941.12385" target="_blank" >https://doi.org/10.1111/1744-7941.12385</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/1744-7941.12385" target="_blank" >10.1111/1744-7941.12385</a>
Alternative languages
Result language
angličtina
Original language name
Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well-being
Original language description
Following social cognitive theory, the current study investigated the impact of artificial intelligence (AI) on employees’ productivity in the healthcare sector. AI significantly facilitates the management of hospitals to vigilantly assess employees’ productivity and accurately analyze employees’ characteristics, such as attitude, emotion and behavior. With the underlying mechanism of employee mental health and well-being, and knowledge sharing, the study has considered beneficial and harmful perspectives of AI in the workplace. The study also hypothesizes the important moderating role of technological leadership. The data was collected from 184 doctors in Pakistan’s major hospitals. Partial least squares (PLS) results support a direct relationship between AI and employee productivity. The findings also supported the underlying mechanism of knowledge sharing and mental health and well-being in the relationship between AI and employee productivity. However, the technological leadership moderating effect was found to be insignificant. It opens an important avenue for this further research and future directions.
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
50204 - Business and management
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
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
Asia Pacific Journal of Human Resources
ISSN
1038-4111
e-ISSN
1744-7941
Volume of the periodical
61
Issue of the periodical within the volume
4
Country of publishing house
AU - AUSTRALIA
Number of pages
27
Pages from-to
794-820
UT code for WoS article
001019959400001
EID of the result in the Scopus database
2-s2.0-85163595159