Exploring Drivers of Staff Engagement in Healthcare Organizations Using Tree-Based Machine Learning Algorithms

Staff engagement in the work environment is vital to organizational success. Engaged staff are motivated and indulged in their work as they have a sense of belonging, commitment, and loyalty toward their employer, which eventually leads to better performance and outcomes. While various organizationa...

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Veröffentlicht in:	IEEE transactions on engineering management Jg. 70; H. 8; S. 2988 - 2997
Hauptverfasser:	Al-Nammari, Ragheb, Simsekler, Mecit Can Emre, Gabor, Adriana Felicia, Qazi, Abroon
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Boosting Data analytics Decision trees employee engagement gradient boosting (GB) Health care healthcare management Machine learning machine learning (ML) Managers Medical services Organizational aspects organizational culture Organizations Prediction algorithms Prediction models Predictive models Radio frequency random forest (RF) Resource allocation Safety safety culture staff engagement Teamwork Training Working conditions
ISSN:	0018-9391, 1558-0040
Online-Zugang:	Volltext
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