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dc.contributor.authorChua, Hui Na
dc.contributor.authorOoia, Jie Sheng
dc.contributor.authorHerbland, Anthony
dc.date.accessioned2021-10-28T09:15:02Z
dc.date.available2021-10-28T09:15:02Z
dc.date.issued2021-11-01
dc.identifier.citationChua , H N , Ooia , J S & Herbland , A 2021 , ' The effects of different personal data categories on information privacy concern and disclosure ' , Computers and Security , vol. 110 , 102453 . https://doi.org/10.1016/j.cose.2021.102453
dc.identifier.issn0167-4048
dc.identifier.urihttp://hdl.handle.net/2299/25155
dc.description© 2021 Elsevier Ltd. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.cose.2021.102453
dc.description.abstractThe potential threats of exposing personal data associated with online services have been a reason for concern, and individuals as customers may decline to disclose their data due to trust issues. Literature has shown evidence that greater transparency in the types and purposes of data requested encourages individuals to disclose personal data. This evidence indicates a need to examine the characteristics of personal information practices. Furthermore, current data privacy regulations recognize the presence of different data characteristics such as location-specific, health-specific, and financial-specific. Yet, current legislations are formed to identify personal data as a singular category regardless of the requirements, including the specification of processed personal data to be relevant and limited to what is necessary for enabling service functions. Without categorization, measuring “relevant” and “necessary” can be ambiguous. Several pieces of researches have explored the impact of personal information type and sensitivity level on privacy concern and disclosure; however, most of them lacked an in-depth examination of data categorization with systematic validation. Our study aims to fill this gap, and additionally further look into how contextual demographic factors influence the perception on information privacy concern and disclosure of different personal data categories from a Malaysian perspective. Our study provides new evidence of validated personal data categories and their significant differences in perceived information privacy concern and disclosure intention. Our research finding also 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.en
dc.format.extent21
dc.format.extent540233
dc.language.isoeng
dc.relation.ispartofComputers and Security
dc.subjectInformation disclosure
dc.subjectInformation privacy
dc.subjectPersonal data categorization
dc.subjectPrivacy by design
dc.subjectPrivacy concern
dc.subjectComputer Science(all)
dc.subjectLaw
dc.titleThe effects of different personal data categories on information privacy concern and disclosureen
dc.contributor.institutionSchool of Health and Social Work
dc.contributor.institutionCentre for Applied Clinical, Health and Care Research (CACHE)
dc.description.statusPeer reviewed
dc.date.embargoedUntil2022-08-26
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85114146494&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1016/j.cose.2021.102453
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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