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The Big Duplicity of Big Data

Industrial and Organizational PsychologyPublished 1 December 2015
Thomas J. Whelan, Amy DuVernet
Citations7
SJR quartileQ1
SJR score1.18
SNIP1.02

TL;DR

As discussed in Guzzo, Fink, King, Tonidandel, and Landis's (2015) focal article, big data is more than a passing trend in business analytics and presents interesting challenges and opportunities for industrial and organizational psychology.

Abstract

As discussed in Guzzo, Fink, King, Tonidandel, and Landis's (2015) focal article, big data is more than a passing trend in business analytics. The plethora of information available presents a host of interesting challenges and opportunities for industrial and organizational (I-O) psychology. When utilizing big data sources to make organizational decisions, our field has a considerable amount to offer in the form of advice on how big data metrics are derived and used and on the potential threats to validity that their use presents. We’ve all heard the axiom, “garbage in, garbage out,” and that applies regardless of whether the scale is a small wastebasket or a dump truck.

Keywords

Business, Management and Accounting