Data-Driven Sustainable Workforce Analytics : The Triple Intelligence Framework

Language: English

Published by De Gruyter Okt 2026, 2026

3112237676 / 9783112237670

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Neuware - In an era where organizations increasingly rely on data and intelligent technologies to guide strategic decisions, workforce management is undergoing a profound transformation. Data-Driven Sustainable Workforce Analytics: The Triple Intelligence Framework presents a comprehensive exploration of how artificial intelligence, advanced analytics, and human-centered management practices are reshaping the future of work. The book introduces the concept of Triple Intelligence, highlighting the strategic integration of human intelligence, artificial intelligence, and collective intelligence to support sustainable organizational transformation and responsible workforce governance. Structured into five thematic parts, the book examines intelligent HR ecosystems, predictive recruitment strategies, machine learning in people analytics, employee engagement, and sectoral applications such as healthcare and smart manufacturing. It also addresses critical ethical and governance issues, including ESG-driven workforce strategies, diversity and inclusion analytics, responsible artificial intelligence, and emerging debates on digital workplace monitoring.Featuring contributions from scholars across 19 countries spanning five continents, this volume provides diverse global perspectives and offers valuable insights for researchers, practitioners, and policymakers seeking to build data-driven, ethical, and sustainable workforce systems in the age of intelligent organizations. …

Title
Data-Driven Sustainable Workforce Analytics : The Triple Intelligence Framework
Author
Rubee Singh
Publisher
De Gruyter Okt 2026
Publication year
2026
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3112237676
ISBN 13
9783112237670
Item weight
920 grams
Dimensions
241x176x32 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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Item7 to 10 business days5 to 7 business days
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