When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity
This study examines how the use of artificial intelligence (AI) by healthcare professionals affects their work well-being through the satisfaction of basic psychological needs, framed within Self-Determination Theory. Data from 280 healthcare professionals across various departments in Chinese hospi...
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MDPI AG
2025-01-01
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Online Access: | https://www.mdpi.com/2076-328X/15/1/88 |
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author | Weiwei Huo Qiuchi Li Bingqian Liang Yixin Wang Xuanlei Li |
author_facet | Weiwei Huo Qiuchi Li Bingqian Liang Yixin Wang Xuanlei Li |
author_sort | Weiwei Huo |
collection | DOAJ |
description | This study examines how the use of artificial intelligence (AI) by healthcare professionals affects their work well-being through the satisfaction of basic psychological needs, framed within Self-Determination Theory. Data from 280 healthcare professionals across various departments in Chinese hospitals were collected, and the hierarchical regression and regression were analyzed to assess the relationship between the use of AI, psychological needs satisfaction (autonomy, competence, and relatedness), and their work well-being. The results reveal that the use of AI enhances work well-being indirectly by increasing the satisfaction of these psychological needs. Additionally, job complexity serves as a boundary condition that moderates the relationship between the use of AI and work well-being. Specifically, job complexity weakens the relationship between the use of AI and the satisfaction of autonomy and competence, while having no significant effect on the relationship between the use of AI and the satisfaction of relatedness. These findings suggest that the impact of the use of AI on healthcare professionals’ well-being is contingent on job complexity. This study highlights that promoting healthcare professionals’ well-being at work in the context of AI adoption requires not only technological implementation but also ongoing adaptation to meet their evolving psychological needs. These insights provide a theoretical foundation and practical guidance for integrating AI into healthcare to support the well-being of healthcare professionals. |
format | Article |
id | doaj-art-083dc65f69fe493293cd768acb97507e |
institution | Kabale University |
issn | 2076-328X |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Behavioral Sciences |
spelling | doaj-art-083dc65f69fe493293cd768acb97507e2025-01-24T13:22:52ZengMDPI AGBehavioral Sciences2076-328X2025-01-011518810.3390/bs15010088When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job ComplexityWeiwei Huo0Qiuchi Li1Bingqian Liang2Yixin Wang3Xuanlei Li4SILC Business School, Shanghai University, Shanghai 200444, ChinaSILC Business School, Shanghai University, Shanghai 200444, ChinaSILC Business School, Shanghai University, Shanghai 200444, ChinaSILC Business School, Shanghai University, Shanghai 200444, ChinaSchool of Management, Fudan University, Shanghai 200433, ChinaThis study examines how the use of artificial intelligence (AI) by healthcare professionals affects their work well-being through the satisfaction of basic psychological needs, framed within Self-Determination Theory. Data from 280 healthcare professionals across various departments in Chinese hospitals were collected, and the hierarchical regression and regression were analyzed to assess the relationship between the use of AI, psychological needs satisfaction (autonomy, competence, and relatedness), and their work well-being. The results reveal that the use of AI enhances work well-being indirectly by increasing the satisfaction of these psychological needs. Additionally, job complexity serves as a boundary condition that moderates the relationship between the use of AI and work well-being. Specifically, job complexity weakens the relationship between the use of AI and the satisfaction of autonomy and competence, while having no significant effect on the relationship between the use of AI and the satisfaction of relatedness. These findings suggest that the impact of the use of AI on healthcare professionals’ well-being is contingent on job complexity. This study highlights that promoting healthcare professionals’ well-being at work in the context of AI adoption requires not only technological implementation but also ongoing adaptation to meet their evolving psychological needs. These insights provide a theoretical foundation and practical guidance for integrating AI into healthcare to support the well-being of healthcare professionals.https://www.mdpi.com/2076-328X/15/1/88use of AIpsychological needs satisfactionwork well-beingjob complexityself-determination theory |
spellingShingle | Weiwei Huo Qiuchi Li Bingqian Liang Yixin Wang Xuanlei Li When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity Behavioral Sciences use of AI psychological needs satisfaction work well-being job complexity self-determination theory |
title | When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity |
title_full | When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity |
title_fullStr | When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity |
title_full_unstemmed | When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity |
title_short | When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity |
title_sort | when healthcare professionals use ai exploring work well being through psychological needs satisfaction and job complexity |
topic | use of AI psychological needs satisfaction work well-being job complexity self-determination theory |
url | https://www.mdpi.com/2076-328X/15/1/88 |
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