Big Data at Work

The Data Science Revolution and Organizational Psychology

By: Eden B. King (Editor), Scott Tonidandel (Editor), Jose M. Cortina (Editor)

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Hardcover | 24 November 2015 | Edition Number 1

At a Glance

Hardcover
382 Pages

Dimensions(cm)
16.0 x 23.8 x 2.6

Hardcover

$543.99

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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.

Industry Reviews

'This is an essential must-read book for any one interested in doing or being a consumer of big data. It is a brilliant collection of contributors and articles providing great clarity to a challenging and critical area. This is the exact book needed to help navigate the data science revolution.' - Steven G. Rogelberg, University of North Carolina, Charlotte, USA

'Many fields have embraced Big Data and have sought to exploit the potential benefits. The editorial team of this book has brought together a strong collection of chapters that explore the meaning and impact of Big Data on the field of I/O psychology. Despite a rapidly changing landscape, this book will certainly prove to be valuable resource.' - Ron Landis, Illinois Institute of Technology, USA

'Overall, this is an exciting book and there is much to learn here. The book provides a framework for understanding the Big Data movement (beyond just the buzz of it), some practical applications, and suggestions for how I-O psychology is changing in the light of this new landscape.' - Edgar E. Kausel, Associate Professor ofManagement, Faculty of Economic and Administrative Sciences, Universidad Catolica de Chile, Santiago, Chile

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