Analysing Trends and Patterns in Employee Engagement Through AI
Springer Nature Singapore
ISBN 9789819644964
Standardpreis
Bibliografische Daten
eBook. PDF. Weiches DRM (Wasserzeichen)
2025
XV, 75 p. 7 illus., 6 illus. in color..
In englischer Sprache
Umfang: 75 S.
Verlag: Springer Nature Singapore
ISBN: 9789819644964
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: SpringerBriefs in Applied Sciences and Technology SpringerBriefs in Computational Intelligence
Produktbeschreibung
This book explores the concept of employee engagement, which is crucial for a company's success, as it is closely linked to job satisfaction and employee morale. Engaged workers tend to be more productive, efficient, and committed to the values and objectives of the company. Artificial intelligence plays a significant role in HR analytics, particularly in automating tedious tasks like data collection and organization from multiple sources. AI-driven employee engagement software can analyze employee feedback, surveys, and social media posts to capture the overall sentiment of the workforce. This allows HR teams to gain insights into employee experiences and perceptions, uncover areas for improvement, and address any issues that require attention. By leveraging past data and employing machine learning algorithms, AI enables HR professionals to predict turnover rates, forecast employee engagement levels, and identify potential flight risks.
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