Big Data, Little Individual: Considering the Human Side of Big Data
Guzzo, Fink, King, Tonidandel, and Landis (2015) provide a clear overview of the implications of conducting research using big data. One element we believe was overlooked, however, was an individual-level perspective on big data; that is, what impact does this sort of data collection have on the ind...
Saved in:
Published in | Industrial and organizational psychology Vol. 8; no. 4; pp. 527 - 533 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York, USA
Cambridge University Press
01.12.2015
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Guzzo, Fink, King, Tonidandel, and Landis (2015) provide a clear overview of the implications of conducting research using big data. One element we believe was overlooked, however, was an individual-level perspective on big data; that is, what impact does this sort of data collection have on the individuals being studied? As psychologists, the ethics and impact of big data collection from workers should be at the forefront of our minds. In this reply, we use years of research on electronic monitoring and tracking to provide evidence that an individual-level perspective is an essential part of the discussion surrounding industrial–organizational psychology and big data. Specifically, we examine electronic performance monitoring (EPM) literature to identify how the widespread, pervasive collection of employee data affects employees’ attitudes and behaviors. |
---|---|
ISSN: | 1754-9426 1754-9434 |
DOI: | 10.1017/iop.2015.78 |