Big Data at Work: The Data Science Revolution and Organizational Psychology

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.

Table of Contents

Chapter 1 Building Understanding of the Data Science Revolution and I-O Psychology

Part I Big Issues for Big Data Methods
Chapter 2 A Big Data Platform for Workforce Analytics
Chapter 3 Statistical Methods for Big Data: A Scenic Tour
Chapter 4 Twitter Analysis: Methods for Data Management and a Word Count Dictionary to Measure City-level Job Satisfaction
Chapter 5 Data Visualization
Chapter 6 Sensing Big Data: Multimodal Information Interfaces for Exploration of Large Data Sets

Part II Big Ideas for Big Data in Organization
Chapter 7 Implications of the Big Data Movement for the Advancement of I-O Science and Practice
Chapter 8 Big Data in Talent Selection and Assessment
Chapter 9 Big Data in Turnover and Retention
Chapter 10 Using Big Data to Advance the Science of Team Effectiveness
Chapter 11 Using Big Data to Create Diversity and Inclusion in Organizations
Chapter 12 How Big Data Matter