Paper ID
1769
Paper Type
short
Description
To maintain security, organizations use increasingly sophisticated methods to monitor employees, such as checking emails, tracking employee's website connections, collecting keystrokes, and surveilling social media activity. While electronic monitoring and surveillance (EM/S) practices represent an attempt to secure the firm’s data and more, they also may have an unintended consequence of creating strain among employees. In this study, we examine EM/S practices, the characteristics of those practices which cause strain and the negative, deviant and non-compliant behaviors the strain evoke in the EM/S subjected employees. We draw from the techno-stress and EM/S literature to build a research model that describes the relationship between EM/S, strain, and employees’ EM/S related deviant and non-compliant outcomes. The research concludes with the discussion of our plan for testing the research model and its potential implications for research.
Recommended Citation
Singh, Tripti and Johnston, Allen, "How Much is Too Much: Employee Monitoring, Surveillance, and Strain" (2019). ICIS 2019 Proceedings. 31.
https://aisel.aisnet.org/icis2019/cyber_security_privacy_ethics_IS/cyber_security_privacy/31
How Much is Too Much: Employee Monitoring, Surveillance, and Strain
To maintain security, organizations use increasingly sophisticated methods to monitor employees, such as checking emails, tracking employee's website connections, collecting keystrokes, and surveilling social media activity. While electronic monitoring and surveillance (EM/S) practices represent an attempt to secure the firm’s data and more, they also may have an unintended consequence of creating strain among employees. In this study, we examine EM/S practices, the characteristics of those practices which cause strain and the negative, deviant and non-compliant behaviors the strain evoke in the EM/S subjected employees. We draw from the techno-stress and EM/S literature to build a research model that describes the relationship between EM/S, strain, and employees’ EM/S related deviant and non-compliant outcomes. The research concludes with the discussion of our plan for testing the research model and its potential implications for research.