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| Reihe | SpringerBriefs in Applied Sciences and Technology |
|---|---|
| Themen | Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) |
| ISBN | 9789819644957 |
| Sprache | Englisch |
| Erscheinungsdatum | 09.07.2025 |
| Größe | 23.5 x 15.5 cm |
| Verlag | Springer Singapore |
| Lieferzeit | Lieferung in 7-14 Werktagen |
| Herstellerangaben | Anzeigen Springer Nature Customer Service Center GmbH Europaplatz 3 | DE-69115 Heidelberg ProductSafety@springernature.com |
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.
| Reihe | SpringerBriefs in Applied Sciences and Technology |
|---|---|
| Themen | Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) |
| ISBN | 9789819644957 |
| Sprache | Englisch |
| Erscheinungsdatum | 09.07.2025 |
| Größe | 23.5 x 15.5 cm |
| Verlag | Springer Singapore |
| Lieferzeit | Lieferung in 7-14 Werktagen |
| Herstellerangaben | Anzeigen Springer Nature Customer Service Center GmbH Europaplatz 3 | DE-69115 Heidelberg ProductSafety@springernature.com |
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