Workforce Analytics

Martin R. Edwards is a Professor 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 the 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, U.S. 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 Chapter 4.1: 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