Workforce Analytics
A Global Perspective
Herausgeber: Levenson, Alec; Edwards, Martin R.; Huselid, Mark; Minbaeva, Dana
Workforce Analytics
A Global Perspective
Herausgeber: Levenson, Alec; Edwards, Martin R.; Huselid, Mark; Minbaeva, Dana
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
This book provides a comprehensive sweep of key issues facing the evolving discipline of workforce analytics. The Editors, all globally recognised in this field, have curated a collection of unique pieces that introduce workforce analytics, discuss its place in the HR sphere and systematically work through the key practical challenges.
Andere Kunden interessierten sich auch für
- Jeffrey W BrownLeading the Digital Workforce146,99 €
- Dan L. WardPositioned29,99 €
- Helen OfosuHow to be Resilient in Your Career181,99 €
- Ken DychtwaldWorkforce Crisis27,99 €
- Cathleen BenkoMass Career Customization: Aligning the Workplace with Today's Nontraditional Workforce27,99 €
- Brian Cole MillerKeeping Employees Accountable for Results21,99 €
- Marco ErlenkampManaging international Teams and Workforce Diversity19,95 €
-
-
-
This book provides a comprehensive sweep of key issues facing the evolving discipline of workforce analytics. The Editors, all globally recognised in this field, have curated a collection of unique pieces that introduce workforce analytics, discuss its place in the HR sphere and systematically work through the key practical challenges.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 240
- Erscheinungstermin: 2. April 2025
- Englisch
- Abmessung: 246mm x 174mm
- ISBN-13: 9781032039848
- ISBN-10: 1032039841
- Artikelnr.: 71850090
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 240
- Erscheinungstermin: 2. April 2025
- Englisch
- Abmessung: 246mm x 174mm
- ISBN-13: 9781032039848
- ISBN-10: 1032039841
- Artikelnr.: 71850090
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Martin R. Edwards is a Professor of Management at the UQ Business School, University of Queensland, Australia. Martin has published widely in the area of Human Resource Management. He is active in the field of HR consultancy, having delivered projects to numerous multinationals; he has also provided bespoke HR Analytics training to global firms. Dana Minbaeva is a Professor of Strategic Human Capital at King's Business School, King's College London, UK. She also holds a part-time position at Copenhagen Business School, Denmark, and is an affiliate faculty member at London Business School, UK. Professor Minbaeva is a Fellow of the Academy of International Business. She has received several national and international awards for her research achievements, including the prestigious JIBS Decade Award in 2013. Dana is also the founder and director of the Nordic Human Capital Advisory Aps. Alec Levenson is an economist and Senior Research Scientist at the Center for Effective Organizations, Marshall School of Business, University of Southern California. His research has been published in books, academic and business publications, and global media outlets, including the New York Times, Wall Street Journal, The Economist, CNN, Associated Press, US News and World Report, National Public Radio, Los Angeles Times, USA Today, Marketplace, and Fox News. Mark Huselid is the Distinguished Professor of Workforce Analytics and director of the Center for Workforce Analytics at the D'Amore-McKim School of Business, Northeastern University. He was the editor of the Human Resource Management Journal, and is a current or former member of numerous professional and academic boards. He is a fellow of the National Academy of Human Resources (NAHR), the Society for Industrial and Organizational Psychology (SIOP), and the Association for Psychological Science (APS).
Part 1 Chapter 1: Introduction and Book Overview; Alec Levenson, Dana
Minbaeva, Mark Huselid and Martin R Edwards Chapter 2: Theoretical
Frameworks for Workforce Analytics; Mark Huselid Chapter 3: Data Collection
and Analysis; Alec Levenson Part 2: Analytic Techniques Chapter 4.0:
Considering techniques in workforce analytics introduction; Martin R
Edwards Causal Inference in HR Analytics with Directed Acyclic Graphs;
Nigel Guenole & Andy Charlwood Chapter 4.2: Latent Class and Latent Profile
Analysis; Joeri Hofmans Chapter 4.3: Efficient Ways to Leverage Untapped
Data Sources: Using Natural Language Processing to Assess Work Attitudes
and Perceptions; Andrew B. Speer, Matt I. Brown Chapter 4.4: Decision Trees
and HR Analytics: A Primer; Paul van der Laken Chapter 4.5: Organizational
Network Analysis (ONA) at the Broad Institute; Heather Whiteman, Andrew
Pitts and Rafael Sanchez Chapter 4.6: Machine learning tools to support
strategic HR decision-making; Andy Charlwood, Danat Valizade, Louise Winton
Schreuders and Karen Spilsbury Chapter 4.7: Connecting employee survey data
to organizational performance indicators using micro-macro multi-level
regression; Marc van Veldhoven & Sasa Batistic Part 2 "Key Takeaway":
Martin R Edwards Part 3 Chapter 5: Implementation and Change Management;
Sarah Kieran & Dana Minbaeva Chapter 6: Ethics and Workforce Analytics
(WFA); Martin R Edwards Chapter 7: Building the Workforce Analytics
Function; Steven McCartney & Dana Minbaeva, Chapter 8: The Future of
Workforce Analytics; Mark Huselid, Alec Levenson, Dana Minbaeva & Martin R
Edwards
Minbaeva, Mark Huselid and Martin R Edwards Chapter 2: Theoretical
Frameworks for Workforce Analytics; Mark Huselid Chapter 3: Data Collection
and Analysis; Alec Levenson Part 2: Analytic Techniques Chapter 4.0:
Considering techniques in workforce analytics introduction; Martin R
Edwards Causal Inference in HR Analytics with Directed Acyclic Graphs;
Nigel Guenole & Andy Charlwood Chapter 4.2: Latent Class and Latent Profile
Analysis; Joeri Hofmans Chapter 4.3: Efficient Ways to Leverage Untapped
Data Sources: Using Natural Language Processing to Assess Work Attitudes
and Perceptions; Andrew B. Speer, Matt I. Brown Chapter 4.4: Decision Trees
and HR Analytics: A Primer; Paul van der Laken Chapter 4.5: Organizational
Network Analysis (ONA) at the Broad Institute; Heather Whiteman, Andrew
Pitts and Rafael Sanchez Chapter 4.6: Machine learning tools to support
strategic HR decision-making; Andy Charlwood, Danat Valizade, Louise Winton
Schreuders and Karen Spilsbury Chapter 4.7: Connecting employee survey data
to organizational performance indicators using micro-macro multi-level
regression; Marc van Veldhoven & Sasa Batistic Part 2 "Key Takeaway":
Martin R Edwards Part 3 Chapter 5: Implementation and Change Management;
Sarah Kieran & Dana Minbaeva Chapter 6: Ethics and Workforce Analytics
(WFA); Martin R Edwards Chapter 7: Building the Workforce Analytics
Function; Steven McCartney & Dana Minbaeva, Chapter 8: The Future of
Workforce Analytics; Mark Huselid, Alec Levenson, Dana Minbaeva & Martin R
Edwards
Part 1 Chapter 1: Introduction and Book Overview; Alec Levenson, Dana
Minbaeva, Mark Huselid and Martin R Edwards Chapter 2: Theoretical
Frameworks for Workforce Analytics; Mark Huselid Chapter 3: Data Collection
and Analysis; Alec Levenson Part 2: Analytic Techniques Chapter 4.0:
Considering techniques in workforce analytics introduction; Martin R
Edwards Causal Inference in HR Analytics with Directed Acyclic Graphs;
Nigel Guenole & Andy Charlwood Chapter 4.2: Latent Class and Latent Profile
Analysis; Joeri Hofmans Chapter 4.3: Efficient Ways to Leverage Untapped
Data Sources: Using Natural Language Processing to Assess Work Attitudes
and Perceptions; Andrew B. Speer, Matt I. Brown Chapter 4.4: Decision Trees
and HR Analytics: A Primer; Paul van der Laken Chapter 4.5: Organizational
Network Analysis (ONA) at the Broad Institute; Heather Whiteman, Andrew
Pitts and Rafael Sanchez Chapter 4.6: Machine learning tools to support
strategic HR decision-making; Andy Charlwood, Danat Valizade, Louise Winton
Schreuders and Karen Spilsbury Chapter 4.7: Connecting employee survey data
to organizational performance indicators using micro-macro multi-level
regression; Marc van Veldhoven & Sasa Batistic Part 2 "Key Takeaway":
Martin R Edwards Part 3 Chapter 5: Implementation and Change Management;
Sarah Kieran & Dana Minbaeva Chapter 6: Ethics and Workforce Analytics
(WFA); Martin R Edwards Chapter 7: Building the Workforce Analytics
Function; Steven McCartney & Dana Minbaeva, Chapter 8: The Future of
Workforce Analytics; Mark Huselid, Alec Levenson, Dana Minbaeva & Martin R
Edwards
Minbaeva, Mark Huselid and Martin R Edwards Chapter 2: Theoretical
Frameworks for Workforce Analytics; Mark Huselid Chapter 3: Data Collection
and Analysis; Alec Levenson Part 2: Analytic Techniques Chapter 4.0:
Considering techniques in workforce analytics introduction; Martin R
Edwards Causal Inference in HR Analytics with Directed Acyclic Graphs;
Nigel Guenole & Andy Charlwood Chapter 4.2: Latent Class and Latent Profile
Analysis; Joeri Hofmans Chapter 4.3: Efficient Ways to Leverage Untapped
Data Sources: Using Natural Language Processing to Assess Work Attitudes
and Perceptions; Andrew B. Speer, Matt I. Brown Chapter 4.4: Decision Trees
and HR Analytics: A Primer; Paul van der Laken Chapter 4.5: Organizational
Network Analysis (ONA) at the Broad Institute; Heather Whiteman, Andrew
Pitts and Rafael Sanchez Chapter 4.6: Machine learning tools to support
strategic HR decision-making; Andy Charlwood, Danat Valizade, Louise Winton
Schreuders and Karen Spilsbury Chapter 4.7: Connecting employee survey data
to organizational performance indicators using micro-macro multi-level
regression; Marc van Veldhoven & Sasa Batistic Part 2 "Key Takeaway":
Martin R Edwards Part 3 Chapter 5: Implementation and Change Management;
Sarah Kieran & Dana Minbaeva Chapter 6: Ethics and Workforce Analytics
(WFA); Martin R Edwards Chapter 7: Building the Workforce Analytics
Function; Steven McCartney & Dana Minbaeva, Chapter 8: The Future of
Workforce Analytics; Mark Huselid, Alec Levenson, Dana Minbaeva & Martin R
Edwards