Evolving the Employee Experience: An Integrative Perspective - Couverture rigide

Couverture rigide

ISBN 10 : 0197780229 ISBN 13 : 9780197780220

Editeur : Oxford University Press Inc, 2025

Synopsis

Evolving the Employee Experience explores the evolving landscape of employee experience and leadership in the face of unprecedented global disruption. Drawing on first-hand research and case studies, it examines how organizations are adapting to meet changing employee needs and expectations in the new world of work. The volume is structured around three interconnected themes: Expanding the Employee Experience, Inclusive Talent Practices, and Developing Leaders for the Future, with each section offering insights into critical areas such as human connection, remote work, organizational agility, diversity and inclusion, data-driven decision-making, and technology-enabled development.

Throughout, this book emphasizes the importance of aligning talent practices with strategic priorities, leveraging technology effectively, and embracing a holistic approach to employee experience. It provides practical guidance for HR professionals and leaders on implementing and scaling these approaches while addressing ethical considerations and diverse workforce needs. By integrating cutting-edge research with actionable strategies, this volume offers a comprehensive roadmap for organizations seeking to thrive in an era of continuous disruption and transformation.

A propos du livre

À propos de l'auteur

Rose Mueller-Hanson, Ph.D., is Associate Director and CFO at Community Interface Services, a non-profit organization serving adults with developmental disabilities. Prior to joining Community Interface Services, she was a Director of Talent Solutions at PDRI, a CEB Company, and served in the U.S. Air Force. For over 25 years, Mueller-Hanson has dedicated her career to helping improve individual and organizational performance through better talent management. She received her Doctorate degree in Industrial/Organizational Psychology from Colorado State University.

Evan F. Sinar, Ph.D., is Senior Research Scientist at Amazon. He conducts global, mixed-methods (qualitative and quantitative) research on candidate and employee experience, leadership coaching and development, and selection interviewing, testing, and assessment. Sinar is a frequent author and presenter on topics such as generative AI, future of work, HR analytics, digital coaching, candidate reactions, employee experience, and technology-enabled assessment. He is a fellow of the Society for Industrial and Organizational Psychology (SIOP) and has served terms on the SIOP Executive Board as Financial Officer and Conferences and Programs Officer. Sinar received his Ph.D. in Industrial/Organizational Psychology from Bowling Green State University.

Elaine D. Pulakos, Ph.D., is CEO of PDRI by Pearson and an expert in building organizational and team capabilities that translate into business growth. Her research and writing focus on agility and resilience, assessment, and performance management, and she has authored several books and articles on these topics. She has extensive global experience helping companies build these capabilities to increase their competitive advantage and performance. Pulakos has received numerous awards, including the Society for Industrial and Organizational Psychology's (SIOP) Distinguished Professional Contributions Award, a two-time winner of the M. Scott Myers Award for Applied Research in

the Workplace, the William A. Owens Scholarly Achievement Award, and PTC's Stephen E. Bemis Memorial Award. She is also a Fellow of the American Psychological Association and SIOP.

Détails de l'édition

• Éditeur: Oxford University Press Inc
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 0197780229
• ISBN 13: 9780197780220
• Reliure: Relié
• Nombre de pages: 344
• Éditeur: Mueller-Hanson Rose, Sinar Evan F., Pulakos Elaine D.
• Coordonnées du fabricant: Oxford University Press; https://corp.oup.com/; ; WMF Platz 1; Geislingen/Steige; Baden-W?rttemberg; 73312; Allemagne