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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Codice articolo ACI4PM3Y05-8-1
Quantità: 1 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798369378489
Quantità: Più di 20 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798369378489
Quantità: Più di 20 disponibili
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9798369378489_new
Quantità: Più di 20 disponibili
Da: preigu, Osnabrück, Germania
Buch. Condizione: Neu. Approaching Employee Experience Management With Data Science | Paula Cristina Nunes Figueiredo | Buch | Englisch | 2025 | IGI Global | EAN 9798369378489 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 131622544
Quantità: 5 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9798369378489
Quantità: 2 disponibili