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Herausgeber: 
  • Paula Cristina Nunes Figueiredo
  • Approaching Employee Experience Management With Data Science 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Februar 2025  
    Genre:  Wirtschaft / Recht 
     
    Artificial Intelligence (AI) / Data Science / Employee engagement / employee experience management / Employee retention / employer branding / Machine Learning (ML) / Natural Language Processing (NLP)
    ISBN:  9798369378496 
    EAN-Code: 
    9798369378496 
    Verlag:  IGI Global 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 254 mm / B 178 mm / D 24 mm 
    Gewicht:  829 gr 
    Seiten:  444 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In today's competitive business environment, retaining top talent is essential for organizational success, and employee experience plays a key role in this process. Data-driven strategies enable companies to create a motivating and supportive work environment, leading to increased engagement, productivity, and retention. By measuring and improving the employee experience, organizations can adapt to the evolving needs of their workforce, strengthen their culture, and foster positive leadership that prioritizes employee well-being. These practices not only enhance individual satisfaction but also contribute to the overall success and sustainability of the organization. Approaching Employee Experience Management With Data Science explores the concept of employee experience management, offering a comprehensive overview of its role in improving organizational outcomes. It provides valuable insights, innovative methods, and practical strategies for HR professionals and leaders to enhance employee experience, with a focus on talent acquisition, retention, and overall business success. Covering topics such as artificial intelligence (AI), employer branding, and talent management, this book is an excellent resource for HR professionals, organizational leaders, business executives, researchers, academicians, and more.

      



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