Achieving Balance between Corporate Dataveillance and Employee Privacy Concerns

Author(s):  
Ordor Ngowari Rosette ◽  
Fatemeh Kazemeyni ◽  
Shaun Aghili ◽  
Sergey Butakov ◽  
Ron Ruhl

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.

Author(s):  
Ordor Ngowari Rosette ◽  
Fatemeh Kazemeyni ◽  
Shaun Aghili ◽  
Sergey Butakov ◽  
Ron Ruhl

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.


2017 ◽  
pp. 1863-1875
Author(s):  
Ordor Ngowari Rosette ◽  
Fatemeh Kazemeyni ◽  
Shaun Aghili ◽  
Sergey Butakov ◽  
Ron Ruhl

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.


2019 ◽  
pp. 1765-1776
Author(s):  
Ordor Ngowari Rosette ◽  
Fatemeh Kazemeyni ◽  
Shaun Aghili ◽  
Sergey Butakov ◽  
Ron Ruhl

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.


2019 ◽  
Vol 3 (1) ◽  
pp. 53-89
Author(s):  
Roberto Augusto Castellanos Pfeiffer

Big data has a very important role in the digital economy, because firms have accurate tools to collect, store, analyse, treat, monetise and disseminate voluminous amounts of data. Companies have been improving their revenues with information about the behaviour, preferences, needs, expectations, desires and evaluations of their consumers. In this sense, data could be considered as a productive input. The article focuses on the current discussion regarding the possible use of competition law and policy to address privacy concerns related to big data companies. The most traditional and powerful tool to deal with privacy concerns is personal data protection law. Notwithstanding, the article examines whether competition law should play an important role in data-driven markets where privacy is a key factor. The article suggests a new approach to the following antitrust concepts in cases related to big data platforms: assessment of market power, merger notification thresholds, measurement of merger effects on consumer privacy, and investigation of abuse of dominant position. In this context, the article analyses decisions of competition agencies which reviewed mergers in big data-driven markets, such as Google/DoubleClick, Facebook/ WhatsApp and Microsoft/LinkedIn. It also reviews investigations of alleged abuse of dominant position associated with big data, in particular the proceeding opened by the Bundeskartellamt against Facebook, in which the German antitrust authority prohibited the data processing policy imposed by Facebook on its users. The article concludes that it is important to harmonise the enforcement of competition, consumer and data protection polices in order to choose the proper way to protect the users of dominant platforms, maximising the benefits of the data-driven economy.


Biometrics ◽  
2017 ◽  
pp. 1522-1542
Author(s):  
Regina Connolly ◽  
Grace Kenny

Information privacy research historically focuses on exploring individuals' concerns in the transaction environment. However, the recent growth of technology-enabled workplace surveillance is raising many concerns over employees' privacy. Employee surveillance practices are becoming increasingly prevalent, ranging from monitoring internet and email activities to capturing employees' interactions with customers and employees' personal health and fitness data using wearable health devices. Individuals may understand that employers can monitor their activities, but may not the potential uses or the repercussions of such monitoring. Moreover, employees may not feel they have the ability to opt-out of this monitoring. This chapter explores the privacy and ethical issues surrounding emerging means of workplace surveillance. The chapter considers both employee and employer perspectives and poses many questions to consider when deciding when does legitimate monitoring become an invasion of employee privacy?


Author(s):  
Kenneth C. C. Yang ◽  
Yowei Kang

Since its introduction in the early 21st century, mobile social media have played an indispensable part in contemporary human experiences. The convergence of social networking and mobile technologies and services creates a fascinating circumstance because the pervasive nature of mobile social networking technologies has impacted on users' privacy. The chapter employed a mixed research method to collect and analyze mobile social media users' experiences and privacy concerns in the age of Big Data. A total of 57 participants were included in this study. Collected data was analyzed by examining mobile social media users' experiences and their concerns over privacy. Findings from this study showed the rising concerns over personal privacy as a result of convergence of mobile social media and Big Data practices by the advertising industry. Theoretical and practical implications were discussed.


2021 ◽  
Vol 29 (6) ◽  
pp. 0-0

We analyze the relationships between country culture and country regulatory structure pertaining to information privacy concerns (IPC) in the context of social media applications. Drawing on prior research we develop a framework that integrates country culture and country regulatory structure and use it as the basis for a study that contrasts samples of 1086 professionals drawn from four countries – United States, United Kingdoms, India and Hong Kong – to assess effects of national culture and of a nation’s regulatory structure on IPC, attitudinal beliefs about information privacy and professionals’ behavioral reactions to IPC. We find that country culture has a strong bearing on explaining differences in individuals’ IPC concerns, attitudinal beliefs about privacy, and behavioral reactions to privacy much more than does country regulatory structure. Country culture remains a significant factor in the management of information privacy. The results also show that country regulatory structure remains deficient in allaying individuals’ concerns pertaining to information privacy.


2021 ◽  
Author(s):  
Anatoliy Gruzd ◽  
Ángel Hernández-García

The study contributes to the ongoing debate about the ‘privacy paradox’ in the context of using social media. The presence of a privacy paradox is often declared if there is no relationship between users’ information privacy concerns and their online self-disclosure. However, prior research has produced conflicting results. The novel contribution of this study is that we consider public and private self-disclosure separately. The data came from a cross-national survey of 1,500 Canadians. For the purposes of the study, we only examined the subset of the 545 people who had at least one public account and one private account. Going beyond a single view of self-disclosure, we captured five dimensions of self-disclosure: Amount, Depth, Polarity, Accuracy, and Intent; and two aspects of privacy concerns : concerns about organizational and social threats. To examine the collected data, we used Partial Least Squares Structural Equation Modeling (PLS-SEM). Our research does not support the presence of a privacy paradox as we found a relationship between privacy concerns from organizational and social threats and most of the dimensions of self-disclosure (even if the relationship was weak). There was no difference between patterns of self-disclosure on private versus public accounts. Different privacy concerns may trigger different privacy protection responses and, thus, may interact with self-disclosure differently. Concerns about organizational threats increase awareness and accuracy while reducing amount and depth, while concerns about social threats reduce accuracy and awareness while increasing amount and depth. Keywords: social media, privacy paradox, private vs public, information privacy, self-disclosure


Author(s):  
Regina Connolly ◽  
Grace Kenny

Information privacy research historically focuses on exploring individuals' concerns in the transaction environment. However, the recent growth of technology-enabled workplace surveillance is raising many concerns over employees' privacy. Employee surveillance practices are becoming increasingly prevalent, ranging from monitoring internet and email activities to capturing employees' interactions with customers and employees' personal health and fitness data using wearable health devices. Individuals may understand that employers can monitor their activities, but may not the potential uses or the repercussions of such monitoring. Moreover, employees may not feel they have the ability to opt-out of this monitoring. This chapter explores the privacy and ethical issues surrounding emerging means of workplace surveillance. The chapter considers both employee and employer perspectives and poses many questions to consider when deciding when does legitimate monitoring become an invasion of employee privacy?


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