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I-Os in the Vanguard of Big Data Analytics and Privacy

Published online by Cambridge University Press:  17 December 2015

Adam J. Ducey ,
Nigel Guenole ,
Sara P. Weiner ,
Hailey A. Herleman ,
Robert E. Gibby  and
Tanya Delany
Adam J. Ducey*
Affiliation:
IBM, Hazelwood, Missouri
Nigel Guenole
Affiliation:
IBM Smarter Workforce Institute, London, United Kingdom
Sara P. Weiner
Affiliation:
IBM Smarter Workforce, Tucson, Arizona
Hailey A. Herleman
Affiliation:
IBM Smarter Workforce, Frisco, Texas
Robert E. Gibby
Affiliation:
IBM, Cincinnati, Ohio
Tanya Delany
Affiliation:
IBM, Milan, Italy
*
Correspondence concerning this article should be addressed to Adam J. Ducey, IBM, 325 James S. McDonnell Boulevard, Hazelwood, MO 63042. E-mail: [email protected]
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Extract

In this response to Guzzo, Fink, King, Tonidandel, and Landis (2015), we suggest industrial–organizational (I-O) psychologists join business analysts, data scientists, statisticians, mathematicians, and economists in creating the vanguard of expertise as we acclimate to the reality of analytics in the world of big data. We enthusiastically accept their invitation to share our perspective that extends the discussion in three key areas of the focal article—that is, big data sources, logistic and analytic challenges, and data privacy and informed consent on a global scale. In the subsequent sections, we share our thoughts on these critical elements for advancing I-O psychology's role in leveraging and adding value from big data.

Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 8 , Issue 4 , December 2015 , pp. 555 - 563
Copyright
Copyright © Society for Industrial and Organizational Psychology 2015 

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