@article{ref1,
title="Big data recommendations for industrial-organizational psychology",
journal="Industrial and organizational psychology",
year="2015",
author="Guzzo, Richard A. and Fink, Alexis A. and King, Eden and Tonidandel, Scott and Landis, Ronald S.",
volume="8",
number="4",
pages="491-508",
abstract="The world is awash in data. Data is being created and stored at ever-increasing rates through a variety of new methods and technologies. Data is accumulating in all sorts of accessible places. Much of that data is of great interest to industrial-organizational (I-O) psychologists, often in ways never anticipated by those who develop technologies and processes that generate and store that data. I-O psychologists also generate data in the course of research and practice in ways that, especially if joined with data originating from other sources, create giant datasets. This abundance of data--variables, measurements, observations, facts--can be used to inform a vast number of issues in research and practice. This is the new &quot;big data&quot; world, and beyond opportunities, this new world also presents challenges and potential hazards.<p /><p>Language: en</p>",
language="en",
issn="1754-9426",
doi="10.1017/iop.2015.40",
url="http://dx.doi.org/10.1017/iop.2015.40"
}