Analysing Trends and Patterns in Employee Engagement through AI (Springerbriefs in Applied Sciences and Technology)

Majumder, Soumi/ Misra, Bitan

Springer Nature Switzerland AG（2025/05発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 80 p.
• 言語 ENG
• 商品コード 9789819644957

Full Description

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.

Contents

Introduction.- Importance of measuring employee engagement trends in organisations.- Employee engagement challenges.- Significance of Employee Engagement Levels in the Workplace.- Employee Engagement Models.- Artificial intelligence in employee engagement and retention.- Leveraging AI for Employee Engagement.- AI-powered analytics uncover hidden patterns in employee engagement data.- Predictive analytics: Anticipating future engagement trends with AI.- Ethical Considerations and Future Directions of AI in Employee Engagement.