Data driven sustainable workforce analytics (9 resultados)

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Librería: moluna, Greven, Alemaniamoluna
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EUR 109,95
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Condición: New. Rubee Singh is Assistant Professor of Human Resource at the Institute of Business Management, GLA University, India, and a Post-Doctoral Researcher (D.Litt.) at Kumaun University, Nainital. She holds an MBA and a Ph.D. in Management and .

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 133,56
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Buch. Condición: Neu. 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.…

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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 109,55
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Buch. Condición: Neu. Data-Driven Sustainable Workforce Analytics | The Triple Intelligence Framework | Rubee Singh (u. a.) | Buch | XIV | Englisch | 2026 | De Gruyter | EAN 9783112237670 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu. …

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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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OportunidadPrecio actual: EUR 90,91
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 350 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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EUR 307,31
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Condición: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

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- Primera edición
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 350,08
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Condición: New. 2026. 1st Edition. hardcover. . . . . .

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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 92,02
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Hardcover. Condición: new. Hardcover. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 157,97
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Hardcover. Condición: new. Hardcover. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 167,26
Envío por EUR 44,35Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Hardcover. Condición: new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…