Towards an Understanding of Privacy Management Architecture in Big Data: An Experimental Research

Nick Hajli, Farid Shirazi, Mina Tajvidi, Nurul Huda
2020 British Journal of Management  
Big data analytics provide valuable information allowing organizations to gain insights that grant them a competitive advantage in the market. However, it also provides access to data that compromise people's privacy. The development of sophisticated technologies for data analysis has resulted in a growing concern around privacy management in big data. While many sites (e.g. Facebook) require the user to provide personal information to access their services, others (e.g. Google search) can
more » ... atically capture or trace user activities and use that data to acquire personal demographic information. Therefore, Internet users are -willingly or unwillingly -constantly disclosing sensitive personal information. In addition, users do not get a complete picture of how their personal information is disseminated online. In this paper, we investigate information privacy through an experiment using large-scale disclosure of personal web activity data to track fragments of personal information released over a period of time. This experiment gives a clear picture of the potential privacy losses of individual users based on released personal information and activities at different websites. By devising an enterprise architecture using a privacy-by-design framework, this study provides a useful guide to addressing the managerial challenges of privacy management. of Management. Published
doi:10.1111/1467-8551.12427 fatcat:3howqslgcng4hfh6lfg4c3u7sy