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General data protection regulation: an individual's perspective

Davit Marikyan, Papagiannidis Savvas, Rajiv Ranjan, Omer Rana

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    6 Citations (Scopus)

    Abstract

    Rapid digitalisation has resulted in a massive exchange of digital data between individuals and organisations, accelerating the importance of privacy-preserving legal frameworks, such as the General Data Protection Regulation (GDPR). Despite the importance of the implementation of such a framework, current research lacks evidence about how individuals perceive GDPR compliance. Given that, the objective of this study was to explore individuals' attitudes towards GDPR compliance in line with Protection Motivation Theory. This study employed a cross-sectional research design and collected 540 valid responses to test a model using structural equational modelling. The result of the analysis showed that perceived threat severity, response efficacy and self-efficacy have positive relationships with attitude towards GDPR compliance. In addition, it was found that attitude correlates with emotional empowerment. The findings of this paper contribute to the literature on privacy-preserving mechanisms by shedding light on individuals' perceptions of the GDPR. The evidence also adds to the current body of literature on information systems management by giving insights into the factors that determine the utilisation of privacy-preserving technologies. These pieces of evidence offer implications for policymakers by providing guidelines on how to communicate the benefits of the GDPR to the public.
    Original languageEnglish
    Title of host publicationUCC '21
    Subtitle of host publicationProceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion
    PublisherAssociation for Computing Machinery
    Pages1-6
    ISBN (Print)9781450391634
    DOIs
    Publication statusPublished - 7 Feb 2022
    EventUCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing - Leicester, United Kingdom
    Duration: 6 Dec 20219 Dec 2021
    https://www.cs.le.ac.uk/events/UCC2021/index.htm

    Publication series

    NameProceedings (IEEE International Conference on Uility and Cloud Computing)
    PublisherIEEE/ACM
    ISSN (Print)2373-6860
    ISSN (Electronic)2473-7178

    Conference

    ConferenceUCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing
    Abbreviated titleUCC '21
    Country/TerritoryUnited Kingdom
    CityLeicester
    Period6/12/219/12/21
    Internet address

    Bibliographical note

    Publisher Copyright:
    © 2021 ACM.

    Keywords

    • GDPR, Protection Motivation Theory, Digital economy

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