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Lookup NU author(s): Professor Savvas PapagiannidisORCiD, Professor Raj Ranjan
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.Over the last few years, digitalisation has accelerated its pace, fuelling the creation of a massive amount of data. This has resulted in a need to introduce legal mechanisms to protect the privacy and security of data being exchanged between people and organisations. However, little is known about the individuals’ perspective on such mechanisms. Given the gap in the literature, this research investigated the drivers and the implications of individuals’ attitude towards GDPR compliance. To test the research model, structural equational modelling was employed using 540 responses. The result showed that perceived threat severity, self-efficacy and response efficacy determine a positive attitude towards GDPR compliance, which results in emotional empowerment. The findings contribute to the literature on legal privacy-preserving mechanisms, by providing a user’s view on the coping and threat appraisal factors underpinning attitude and demonstrating the implications for driving confidence in control over personal data. The findings also contribute to the literature on protection motivation by demonstrating that attitude towards adaptive behaviour drives emotional empowerment. The study offers suggestions to policymakers on how to enhance public perception of the GDPR. The findings also provide guidelines for organisations on how to inform individuals’ understanding of compliance with the legal framework.
Author(s): Marikyan D, Papagiannidis S, Rana OF, Ranjan R
Publication type: Article
Publication status: Published
Journal: Behaviour and Information Technology
Year: 2024
Volume: 43
Issue: 14
Pages: 3561-3577
Print publication date: 01/01/2024
Online publication date: 22/11/2023
Acceptance date: 14/11/2023
Date deposited: 04/12/2023
ISSN (print): 0144-929X
ISSN (electronic): 1362-3001
Publisher: Taylor and Francis Ltd.
URL: https://doi.org/10.1080/0144929X.2023.2285341
DOI: 10.1080/0144929X.2023.2285341
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