The Effect of Job Skill Demands Under Artificial Intelligence Embeddedness on Employees’ Job Performance: A Moderated Double-Edged Sword Model

Autor:	Ningning Chen, Xinan Zhao, Lele Wang
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	artificial intelligence job skill demands competency needs job embeddedness well-being in organizations job performance Psychology BF1-990
Zdroj:	Behavioral Sciences, Vol 14, Iss 10, p 974 (2024)
Druh dokumentu:	article
ISSN:	2076-328X
DOI:	10.3390/bs14100974
Popis:	With the widespread application of AI technology, the skills and abilities required by employees in their work are undergoing fundamental changes, redefining the roles of employees. This research aims to explore the effect of job skill demands under AI embeddedness on well-being in organizations and job performance. Based on conservation of resources theory, this research randomly selected 479 employees from 8 companies in China using a time-lag method as samples, and conducted statistical analysis with ordinary least squares (OLS). This research found that, job skill demands under AI embeddedness will both increase employees’ competency needs, promoting their well-being in organizations and job performance and decrease employees’ job embeddedness, inhibiting their well-being in organizations and job performance. Meanwhile, technological anxiety moderated the impact of job skill demands under AI embeddedness on job embeddedness.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/9ac5b984a730484799ab93c295aaadaf Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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