The amount of data in our world has been exploding, and analyzing large data sets-so called big data-will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

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