Multimodal Human Resource Analytics: Enhancing Decision-Making in Organizations
Versandkostenfrei!
Versandfertig in über 4 Wochen
173,99 €
inkl. MwSt.
PAYBACK Punkte
87 °P sammeln!
This book offers a groundbreaking exploration of how diverse data forms-textual, visual, behavioral, and emotional-can be harnessed to drive more informed and inclusive HR decisions. As organizations increasingly turn to data-driven strategies, this book introduces readers to the concept of multimodality in people analytics and highlights its potential to transform traditional human resource practices. Bridging theory and practice, the book examines key themes such as the evolution of HR analytics, the role of inclusivity and ethics, and the design of future-ready analytical platforms. It pres...
This book offers a groundbreaking exploration of how diverse data forms-textual, visual, behavioral, and emotional-can be harnessed to drive more informed and inclusive HR decisions. As organizations increasingly turn to data-driven strategies, this book introduces readers to the concept of multimodality in people analytics and highlights its potential to transform traditional human resource practices. Bridging theory and practice, the book examines key themes such as the evolution of HR analytics, the role of inclusivity and ethics, and the design of future-ready analytical platforms. It presents practical frameworks like the ABK model and multimodal discourse analysis, providing tools to decode complex human interactions and organizational patterns. Through a multidisciplinary lens, it addresses the challenges and opportunities of integrating multimodal data in real-world HR settings. Ideal for HR professionals, researchers, and students, this book is both a scholarly resource and a practical guide. It encourages a deeper understanding of how multimodal analytics can lead to equitable, transparent, and effective decision-making, reshaping the future of work in an increasingly digital and diverse environment.
Andere Kunden interessierten sich für
