Privacy and Economics

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    The Impact on Multi Business Model Innovation Related to GDPR Regulation
    ( 2020-01-07) Lindgren, Peter
    The new GDPR regulation causes several business economic and customer service challenge to different businesses in different business model ecosystems. The increase of network based business models with many, different and flexible network partners challenge the business on GPDR regulatives. The paper elects 3 different business case examples as generic examples out of the 11 cases to show and discuss the challenges and business model impacts related to GDPR regulation.
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    Privacy Concerns Regarding Wearable IoT Devices: How it is Influenced by GDPR?
    ( 2020-01-07) Paul, Chinju ; Scheibe, Kevin ; Nilakanta , Sree
    Internet of Things (IoT) devices have implications for health and fitness. Fitness wearables can promote healthy behavior and improve an individual’s overall health and quality of life. Even though fitness wearables have various benefits, privacy concerns regarding the data collected remain as a major barrier to adoption of fitness wearables. Intrinsic factors like disposition to value privacy and extrinsic factors like privacy policies and General Data Protection Regulation (GDPR) can influence users’ privacy concerns. This research uses experimental design to understand how these factors influence privacy concerns. The results suggest that GDPR reduces the average privacy concerns of users. The study also shows that higher perception of effectiveness of privacy policy reduces the perception of privacy risks and increases the perception of privacy control. This study illustrates the effect of users’ perceptions on factors like privacy policy, privacy control and GDPR on mitigating privacy concerns.
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    Towards a Triad for Data Privacy
    ( 2020-01-07) Covert, Quentin ; Steinhagen, Dustin ; Francis, Mary ; Streff, Kevin
    Data privacy is a topic of interest for researchers, data collection managers, and data system specialists. In an attempt to assuage growing concerns regarding the collection and use of personal data, many organizations have begun developing systems and drafting policies meant to safeguard that data from potential privacy harms. This paper provides a surface-level comparison of data privacy triads from NIST in the United States and ULD in Germany that may form the basis for a future universal definition of data privacy. The analysis shows two different approaches for defining data privacy: one which focuses on the practical implementation of data privacy safeguards (NIST) and one that focuses on defining the highest possible standards to which data processors must be held (ULD).
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    An Inventory of International Privacy Principles: A 14 Country Analysis
    ( 2020-01-07) Francis, Mary ; Covert, Quentin ; Steinhagen, Dustin ; Streff, Kevin
    Companies are operating within a global marketplace where they must navigate differing laws related to data privacy, so it is important to understand and respect the privacy concerns of various countries. To that end, this paper will provide an inventory of the data privacy principles set out by fourteen countries around the world. By looking at the similarities and differences between nations, it is possible to work toward a common understanding and agreement of which principles should be approved and thereafter enforced. With technology evolving so rapidly, laws cannot wait to be reactionary; rather the development of privacy principles can be used to guide future implementation of regulation.
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    Introduction to the Minitrack on Privacy and Economics
    ( 2020-01-07) Khajuria, Samant ; Sørensen, Lene ; Skouby, Knud