Affiliation:
1. School of Management, Beijing Union University, Beijing, China
2. Lubar School of Business, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
Abstract
New artificial intelligence (AI) technologies are applied to work scenarios, which may change job demands and affect employees’ learning. Based on the resource conservation theory, the impact of job demands on employee learning was evaluated in the context of AI. The study further explores the moderating effect of the human–machine cooperation relationship between them. By collecting 500 valid questionnaires, a hierarchical regression for the test was performed. Results indicate that, in the AI application scenario, a U-shaped relationship exists between job demands and employee learning. Second, the human–machine cooperation relationship moderates the U-shaped curvilinear relationship between job demands and employees’ learning. In this study, AI is introduced into the field of employee psychology and behavior, enriching the research into the relationship between job demands and employee learning.
Funder
Chinese National Funding of Social Sciences
Subject
General Mathematics,General Medicine,General Neuroscience,General Computer Science
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献