Analysing Trends and Patterns in Employee Engagement Through AI (eBook)

Artikelnummer: 978-981-9644-96-4
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
CHF 53.50
decrease increase

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.

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.

Schreiben Sie Ihre eigene Bewertung
  • Nur registrierte Benutzer können Produkte bewerten
*
*
Schlecht
Sehr gut
*
*
*
*
VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2025
Seitenangabe75 S.
AusgabekennzeichenEnglisch
AbbildungenXV, 75 p. 7 illus., 6 illus. in color.
Masse1'997 KB
PlattformPDF
ReiheSpringerBriefs in Computational Intelligence; SpringerBriefs in Applied Sciences and Technology; Business and Management; Business and Management
AutorMajumder, Soumi / Misra, Bitan

Alle Bände der Reihe "SpringerBriefs in Computational Intelligence; SpringerBriefs in Applied Sciences and Technology; Business and Management; Business and Management (R0)"

Über den Autor Soumi Majumder

Ms. Soumi Majumder is a Research Scholar in the Department of Business and Management at Lincoln University College, Malaysia, and an Assistant Professor at the Future Business School, Future Institute of Engineering and Management, Kolkata, India. She has over 10 years of academic and 2 years of industry experience and has previously served at institutions such as Sister Nivedita University, Techno India College of Technology, and NSHM College of Management and Technology. She has authored five books, including titles published by Springer Nature, Taylor & Francis, and Emerald, along with two edited volumes. Her research focuses on quality of work life, stress management, employee engagement, leadership, and entrepreneurship, with over 25 papers in reputed national and international journals and conferences. She holds one patent and four copyrights from the Government of India and serves as a reviewer for journals by Elsevier, Springer, Emerald, and Sage. Dr. Bitan Misra is currently working as an assistant professor in the department of Computer Science and Engineering at Techno International New Town, Kolkata, West Bengal, India. She has published more than 30 research papers in various international journals, book chapters and conferences. She has written five authored books in Springer Nature, Taylor & Francis, and Elsevier. She has served as reviewer in many peer-reviewed Journals and Conferences. She holds multiple patents and copyrights from the Government of India. She has also worked as Associate Editor in the International Journal of Ambient Computing and Intelligence (IJACI). Her main research interests include optimization techniques, deep learning, evolutionary algorithms and soft computing techniques. She is a member of IEEE and Internet Society.

Weitere Titel von Soumi Majumder

Produktbewertungen
Nur registrierte Benutzer können Produkte bewerten