The Effect of Job Skill Demands Under Artificial Intelligence Embeddedness on Employees’ Job Performance: A Moderated Double-Edged Sword Model
Ningning Chen, Zhao Xi-nan, Lele Wang
Northeastern University Jiangsu Provincial Party School
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摘要与影响
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.
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学科主题
计算机 / AIImpact of AI and Big Data on Business and Society
Job Satisfaction and Organizational Behavior · Cyberloafing and Workplace Behavior
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