Arboh Francisca, Zhu Xiaoxian, Atingabili Samuel, Yeboah Elizabeth, Drokow Emmanuel Kwateng
Teesside International Business School, Teesside University, Middlesbrough, UK.
School of Management, Jiangsu University, Zhenjiang, China.
J Health Organ Manag. 2025 Jan 30. doi: 10.1108/JHOM-06-2024-0229.
The primary purpose of the study was to explore the impact of health workers' awareness of artificial intelligence (AI) on their workplace well-being, addressing a critical gap in the literature. By examining this relationship through the lens of the Job demands-resources (JD-R) model, the study aimed to provide insights into how health workers' perceptions of AI integration in their jobs and careers could influence their informal learning behaviour and, consequently, their overall well-being in the workplace. The study's findings could inform strategies for supporting healthcare workers during technological transformations.
DESIGN/METHODOLOGY/APPROACH: The study employed a quantitative research design using a survey methodology to collect data from 420 health workers across 10 hospitals in Ghana that have adopted AI technologies. The study was analysed using OLS and structural equation modelling.
The study findings revealed that health workers' AI awareness positively impacts their informal learning behaviour at the workplace. Again, informal learning behaviour positively impacts health workers' workplace well-being. Moreover, informal learning behaviour mediates the relationship between health workers' AI awareness and workplace wellbeing. Furthermore, employee learning orientation was found to strengthen the effect of AI awareness on informal learning behaviour.
RESEARCH LIMITATIONS/IMPLICATIONS: While the study provides valuable insights, it is important to acknowledge its limitations. The study was conducted in a specific context (Ghanaian hospitals adopting AI), which may limit the generalizability of the findings to other healthcare settings or industries. Self-reported data from the questionnaires may be subject to response biases, and the study did not account for potential confounding factors that could influence the relationships between the variables.
The study offers practical implications for healthcare organizations navigating the digital transformation era. By understanding the positive impact of health workers' AI awareness on their informal learning behaviour and well-being, organizations can prioritize initiatives that foster a learning-oriented culture and provide opportunities for informal learning. This could include implementing mentorship programs, encouraging knowledge-sharing among employees and offering training and development resources to help workers adapt to AI-driven changes. Additionally, the findings highlight the importance of promoting employee learning orientation, which can enhance the effectiveness of such initiatives.
ORIGINALITY/VALUE: The study contributes to the existing literature by addressing a relatively unexplored area - the impact of AI awareness on healthcare workers' well-being. While previous research has focused on the potential job displacement effects of AI, this study takes a unique perspective by examining how health workers' perceptions of AI integration can shape their informal learning behaviour and, subsequently, their workplace well-being. By drawing on the JD-R model and incorporating employee learning orientation as a moderator, the study offers a novel theoretical framework for understanding the implications of AI adoption in healthcare organizations.
本研究的主要目的是探讨卫生工作者对人工智能(AI)的认知对其工作场所幸福感的影响,以填补文献中的一个关键空白。通过工作需求-资源(JD-R)模型来审视这种关系,该研究旨在深入了解卫生工作者对工作和职业中人工智能整合的认知如何影响其非正式学习行为,进而影响他们在工作场所的整体幸福感。该研究的结果可为技术变革期间支持医护人员的策略提供参考。
设计/方法/途径:本研究采用定量研究设计,运用调查方法从加纳10家采用人工智能技术的医院的420名卫生工作者中收集数据。研究采用普通最小二乘法(OLS)和结构方程模型进行分析。
研究结果表明,卫生工作者的人工智能认知对其在工作场所的非正式学习行为有积极影响。同样,非正式学习行为对卫生工作者的工作场所幸福感有积极影响。此外,非正式学习行为在卫生工作者的人工智能认知与工作场所幸福感之间起中介作用。此外,还发现员工学习导向会增强人工智能认知对非正式学习行为的影响。
研究局限性/启示:虽然该研究提供了有价值的见解,但承认其局限性很重要。该研究是在特定背景下(加纳采用人工智能的医院)进行的,这可能会限制研究结果对其他医疗环境或行业的普遍适用性。问卷中的自我报告数据可能存在回应偏差,并且该研究没有考虑可能影响变量之间关系的潜在混杂因素。
该研究为处于数字转型时代的医疗组织提供了实际意义。通过了解卫生工作者的人工智能认知对其非正式学习行为和幸福感的积极影响,组织可以优先开展促进学习型文化并提供非正式学习机会的举措。这可能包括实施导师计划、鼓励员工之间的知识共享以及提供培训和发展资源,以帮助员工适应人工智能驱动的变化。此外,研究结果凸显了促进员工学习导向的重要性,这可以提高此类举措的有效性。
原创性/价值:该研究通过探讨一个相对未被探索的领域——人工智能认知对医护人员幸福感的影响,为现有文献做出了贡献。虽然先前的研究主要关注人工智能的潜在工作替代效应,但本研究通过考察卫生工作者对人工智能整合的认知如何塑造其非正式学习行为以及随后的工作场所幸福感,采取了独特的视角。通过借鉴JD-R模型并将员工学习导向作为调节变量,该研究为理解医疗组织中采用人工智能的影响提供了一个新颖的理论框架。