Foreword by Richard Klimoski
1. Building Understanding of the Data Science Revolution and IO Psychology Eden B. King, Scott Tonidandel, Jose M. Cortina, & Alexis A. Fink Part I: Big Issues for Big Data Methods
2. Big Data Platform Jacqueline Ryan 3. Statistical Methods for Big Data: A Scenic Tour Frederick L. Oswald & Dan J. Putka 4. Twitter Analysis: Methods for Data Management and a Word Count Dictionary to Measure City-Level Job Satisfaction Ivan Hernandez, Daniel A. Newman, & Gahyun Jeon 5. Data Visualization Evan F. Sinar 6. Sensing Big Data: Multimodal Information Interfaces for Exploration of Large Data Sets Jeffrey Stanton Part II: Big Ideas for Big Data in Organization
7. Implications of the Big Data Movement for the Advancement I-O Science and Practice Dan J. Putka & Frederick L. Oswald 8. Big Data in Talent Selection and Assessment A. James Illingworth, Michael Lippstreu, & Anne-Sophie Deprez-Sims 9. Big Data in Turnover/Retention John P. Hausknecht & Huisi (Jessica) Li 10. Using Big Data to Advance the Science of Team Effectiveness Steve W. J. Kozlowski, Georgia T. Chao, Chu-Hsiang (Daisy) Chang, & Rosemarie Fernandez 11. Using Big Data to Create Diversity and Inclusion in Organizations Whitney Botsford Morgan, Eric Dunleavy, & Peter D. DeVries 12. How Big Data Matters Richard A. Guzzo