Unveiling consumer's privacy paradox behaviour in an economic exchange

Open Data: Implications on Privacy in Healthcare Research

The advent of open data in health care has increased healthcare innovation, with the publication of complete datasets aggregated by private and public entities that lead to efficiency through crowdsourcing working code, facilitating research into personalized medicine, and publishing reproducible data pipelines for experimental validation. However, there lacks an internationally recognized definition for health data governance at the scope of individual health data and open source big data, which bring about a discussion about the implications of open data on data privacy. First, healthcare data sourced directly from public healthcare systems: by whom and for what purpose is these data used for within the context of healthcare research. Second, health data from private research: the regulations needed for mutual disclosure. Third, personal user-generated health data: safeguards in a digital era needed to prevent misappropriation and abuse. This paper addresses the opportunities of open data in healthcare research in a digital age without transparent regulation. The consequence of open data on privacy leads to a framework of four safeguards for stakeholders: public education, operational transparency, regulation for accountability, and validation of research ethics. It also pioneers public policy direction for a balanced agenda between privacy and healthcare research.

Internet Users' Valuation of Enhanced Data Protection on Social Media: Which Aspects of Privacy Are Worth the Most?

As the development of the Internet and social media has led to pervasive data collection and usage practices, consumers’ privacy concerns have increasingly grown stronger. While previous research has investigated consumer valuation of personal data and privacy, only few studies have investigated valuation of different privacy aspects (e.g., third party sharing). Addressing this research gap in the literature, the present study explores Internet users’ valuations of three different privacy aspects on a social networking service (i.e., Facebook), which are commonly captured in privacy policies (i.e., data collection, data control, and third party sharing). A total of 350 participants will be recruited for an experimental online study. The experimental design will consecutively contrast a conventional, free-of-charge version of Facebook with four hypothetical, privacy-enhanced premium versions of the same service. The privacy-enhanced premium versions will offer (1) restricted data collection on side of the company; (2) enhanced data control for users; and (3) no third party sharing, respectively. A fourth premium version offers full protection of all three privacy aspects. Participants’ valuation of the privacy aspects captured in the premium versions will be quantified measuring willingness-to-pay. Additionally, a psychological test battery will be employed to examine the psychological mechanisms (e.g., privacy concerns, trust, and risk perceptions) underlying the valuation of privacy. Overall, this study will offer insights into valuation of different privacy aspects, thus providing valuable suggestions for economically sustainable privacy enhancements and alternative business models that are beneficial to consumers, businesses, practitioners, and policymakers, alike.