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Big Data Recommendations for Industrial–Organizational Psychology: Are We in Whoville?

Published online by Cambridge University Press:  17 December 2015

Christopher T. Rotolo  and
Allan H. Church
Christopher T. Rotolo*
Affiliation:
Global Talent Assessment and Development, PepsiCo, Inc., Purchase, New York
Allan H. Church
Affiliation:
Global Talent Assessment and Development, PepsiCo, Inc., Purchase, New York
*
Correspondence concerning this article should be addressed to Christopher T. Rotolo, PepsiCo, Inc., 700 Anderson Hill Road, Purchase, NY 10577. E-mail: [email protected]
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Extract

Guzzo, Fink, King, Tonidandel, and Landis's (2015) focal article was intended to be not a set of standards but instead “stepping stones” to “raise awareness and provide direction” (p. 492) to our field for working with big data. We believe that the work done by the authors successfully achieved those objectives, and we encourage the Society for Industrial and Organizational Psychology (SIOP) Executive Committee to keep advancing this work toward greater clarity and guidance. Having clear alignment among members of our field and guidelines for handling nebulous issues such as big data is an important aspect of the scientist–practitioner model.

Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 8 , Issue 4 , December 2015 , pp. 515 - 520
Copyright
Copyright © Society for Industrial and Organizational Psychology 2015 

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