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      Book

      Big Data at Work
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      Book

      Big Data at Work

      DOI link for Big Data at Work

      Big Data at Work book

      The Data Science Revolution and Organizational Psychology

      Big Data at Work

      DOI link for Big Data at Work

      Big Data at Work book

      The Data Science Revolution and Organizational Psychology
      Edited ByScott Tonidandel, Eden B. King, Jose M. Cortina
      Edition 1st Edition
      First Published 2015
      eBook Published 25 November 2015
      Pub. Location New York
      Imprint Routledge
      DOI https://doi.org/10.4324/9781315780504
      Pages 382
      eBook ISBN 9781315780504
      Subjects Behavioral Sciences, Computer Science, Economics, Finance, Business & Industry
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      Tonidandel, S., King, E.B., & Cortina, J.M. (Eds.). (2015). Big Data at Work: The Data Science Revolution and Organizational Psychology (1st ed.). Routledge. https://doi.org/10.4324/9781315780504

      ABSTRACT

      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|16 pages

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

      ByEden B. King, Scott Tonidandel, Jose M. Cortina, Alexis A. Fink

      part Part I|161 pages

      Big Issues for Big Data Methods

      chapter 2|24 pages

      A Big Data Platform for Workforce Analytics

      ByJacqueline Ryan, Hailey Herleman

      chapter 3|21 pages

      Statistical Methods for Big Data

      A Scenic Tour
      ByFrederick L. Oswald, Dan J. Putka

      chapter 4|51 pages

      Twitter Analysis

      Methods for Data Management and a Word Count Dictionary to Measure City-level Job Satisfaction
      ByIvan Hernandez, Daniel A. Newman, Gahyun Jeon

      chapter 5|43 pages

      Data Visualization

      ByEvan F. Sinar

      chapter 6|20 pages

      Sensing Big Data

      Multimodal Information Interfaces for Exploration of Large Data Sets
      ByJeffrey Stanton

      part Part II|172 pages

      Big Ideas for Big Data in Organization

      chapter 7|32 pages

      Implications of the Big Data Movement for the Advancement of I-O Science and Practice

      ByDan J. Putka, Frederick L. Oswald

      chapter 8|37 pages

      Big Data in Talent Selection and Assessment

      ByA. James Illingworth, Michael Lippstreu, Anne-Sophie Deprez-Sims

      chapter 9|22 pages

      Big Data in Turnover and Retention

      ByJohn P. Hausknecht, Huisi (Jessica) Li

      chapter 10|38 pages

      Using Big Data to Advance the Science of Team Effectiveness

      BySteve W. J. Kozlowski, Georgia T. Chao, Chu-Hsiang (Daisy) Chang, Rosemarie Fernandez

      chapter 11|26 pages

      Using Big Data to Create Diversity and Inclusion in Organizations

      ByWhitney Botsford Morgan, Eric Dunleavy, Peter D. DeVries

      chapter 12|15 pages

      How Big Data Matter

      ByRichard A. Guzzo
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