AIMC Topic: Job Satisfaction
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Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study.
JMIR formative research
Jun 4, 2025
BACKGROUND: Nurse scheduling is a complex challenge in health care, impacting both patient care quality and nurse well-being. Traditional scheduling methods often fail to consider individual preferences, leading to dissatisfaction, burnout, and high ...
Does gender matter? The impact of gender and gender match on the relation between destructive leadership and follower outcomes.
BMC psychology
Mar 18, 2025
BACKGROUND: Destructive leadership has been linked to negative consequences for both organizations and followers. Research has also shown that leader gender affects follower perceptions of leadership behavior and follower outcomes [1-3]. However, kno...
Analysis of the factors influencing the salary level and satisfaction of medical staff in hospitals in less developed areas of Western China based on machine learning algorithms: evidence from Guangxi Zhuang Autonomous Region.
BMC health services research
Mar 14, 2025
BACKGROUND: Compensation plays a critical role in motivating staff and enhancing operational performance and human resource costs in hospitals. This study was aimed at investigating pay levels and the key factors influencing pay satisfaction in secon...
Artificial intelligence and employee outcomes: Investigating the role of job insecurity and technostress in the hospitality industry.
Acta psychologica
Jan 17, 2025
Drawing on self-determination theory (SDT), this research examines how the utilization of artificial intelligence (AI) in hospitality organizations is influencing employee work and career outcomes (well-being and career success). We explore the under...
Explainability of artificial neural network in predicting career fulfilment among medical doctors in developing nations: Applicability and implications.
Social science & medicine (1982)
Sep 11, 2024
BACKGROUND: Career fulfilment among medical doctors is crucial for job satisfaction, retention, and healthcare quality, especially in developing nations with challenging healthcare systems. Traditional career guidance methods struggle to address the ...
Engaging nurses in developing generative artificial intelligence-based technologies can enhance their work motivation, engagement and satisfaction.
Evidence-based nursing
Jun 20, 2024
Effects of Job Crafting and Leisure Crafting on Nurses' Burnout: A Machine Learning-Based Prediction Analysis.
Journal of nursing management
Jun 20, 2024
AIM: To explore the status of job crafting, leisure crafting, and burnout among nurses and to examine the impact of job crafting and leisure crafting variations on burnout using machine learning-based models.
The rise of robots increases job insecurity and maladaptive workplace behaviors: Multimethod evidence.
The Journal of applied psychology
Oct 10, 2022
Robots are transforming the nature of human work. Although human-robot collaborations can create new jobs and increase productivity, pundits often warn about how robots might replace humans at work and create mass unemployment. Despite these warnings...
How robots impact nurses' time pressure and turnover intention: A two-wave study.
Journal of nursing management
Aug 10, 2022
AIMS: To examine the relationships among effort ensuring robots' smooth operation (EERSO), time pressure, missed care, and nurses' turnover intention, and how robot performance moderates such relations.
Job characteristics of a Malaysian bank's anti-money laundering system and its employees' job satisfaction.
F1000Research
Oct 15, 2021
Banks and financial institutions are vulnerable to money laundering (ML) as a result of crime proceeds infiltrating banks in the form of significant cash deposits. Improved financial crime compliance processes and systems enable anti-ML (AML) analys...
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