Anthony Herbland
University of Hertfordshire
15 Papers
16 Citations
Anthony Herbland is an academic researcher from University of Hertfordshire. The author has contributed to research in topics: Medicine & Information privacy. The author has an hindex of 4, co-authored 13 publications.
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Papers
Compliance to personal data protection principles
TL;DR: This study examines how organizations in Malaysia frame their privacy policy notice to comply with the Personal Data Protection Act (PDPA, 2010) and if these organizations differ in their level of compliance and the readability of their privacy notices.
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Exercise beliefs and behaviours of individuals with Joint Hypermobility syndrome/Ehlers–Danlos syndrome – hypermobility type
Jane Simmonds,Anthony Herbland,Alan Hakim,Nelly Ninis,William Lever,Qasim Aziz,Mindy C Cairns +6 more
TL;DR: Advice from a physiotherapist and beliefs about the benefits of exercise influenced the reported exercise behaviours of individuals with Ehlers–Danlos syndrome – hypermobility type in this survey.
The Effects of Different Personal Data Categories on Information Privacy Concern and Disclosure
TL;DR: The study provides new evidence of validated personal data categories and their significant differences in perceived information privacy concern and disclosure intention, and discovers that Age, Gender, and Working Industry, as demographic factors, have significant effects on disclosure intention associated with Tracking, Finance, Authenticating, and Medical-health information.
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Continuous-mode 448 kHz capacitive resistive monopolar radiofrequency induces greater deep blood flow changes compared to pulsed mode shortwave: a crossover study in healthy adults
TL;DR: Deep blood flow changes with CRMRF were more pronounced than that with PSWT, placebo or control, and potential greater therapeutic benefits need to be confirmed with comparative clinical studies.
Identifying the Effect of Data Breach Publicity on Information Security Awareness Using Hierarchical Regression
TL;DR: In this paper, a 3-stage hierarchical linear regression approach was used to build up the model with prior known influential factors to predict ISA and reveal that DBR significantly explains 6.7% of ISA.