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Suggestions for Achieving Balance Between Corporate Dataveillance and Employee Privacy Concerns
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Author(s): Ordor Ngowari Rosette (Concordia University of Edmonton, Canada), Fatemeh Kazemeyni (Concordia University of Edmonton, Canada), Shaun Aghili (Concordia University of Edmonton, Canada), Sergey Butakov (Concordia University of Edmonton, Canada)and Ron Ruhl (Concordia University of Edmonton, Canada)
Copyright: 2019
Pages: 13
Source title:
Censorship, Surveillance, and Privacy: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7113-1.ch028
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Abstract
Big data, like most technological innovations, brings noticeable benefits as well potential risks. Dataveillance using big data is becoming another dimension in the increasing privacy concerns of the workforce. Such concerns emanate from the tension between the correct use of employee personal data and information privacy in big data within and outside the work environment. It has evolved as employees are becoming increasingly cognizant of the ways in which employers can use technologies to monitor social media activities, internet interactions, emails and other online activities outside the work environment. The objective of this research paper is to recommend a set of guidelines which will be mapped to COBIT 5 framework to help medium and large organizations balance the tension between the increasing potential of big data and employee dataveillance privacy concerns in workplaces.
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