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Analysing Trends and Patterns in Employee Engagement Through AI.

Analysing Trends and Patterns in Employee Engagement Through AI.

・ISBN 978-981-9644-95-7 paper EUR 44.99

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お気に入り
著者・編者Majumder, Soumi / Misra, Bitan,
シリーズ (SpringerBriefs in Applied Sciences and Technology)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2025
ページ数75 pp.
言語ENG
ニュース番号<A03-98114>

解説

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.