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Measuring attitude towards personal data for adaptive cybersecurity

Addae, Joyce Hoese; Brown, Michael; Sun, Xu; Towey, Dave; Radenkovic, Milena

Authors

Joyce Hoese Addae Joyce.ADDAE@nottingham.edu.cn

Michael Brown michael.brown@nottingham.ac.uk

Xu Sun Xu.Sun@nottingham.edu.cn

Dave Towey Dave.Towey@nottingham.edu.cn

Milena Radenkovic milena.radenkovic@nottingham.ac.uk



Abstract

Purpose: This paper presents an initial development of a Personal Data Attitude (PDA) measurement instrument based on established psychometric principles. The aim of the research was to develop a reliable measurement scale for quantifying and comparing attitudes towards personal data that can be incorporated into cybersecurity behavioral research models. Such a scale has become necessary for understanding individuals’ attitudes towards specific sets of data as more technologies are being designed to harvest, collate, share and analyze personal data.

Design/methodology/approach: An initial set of 34 five-point Likert style items were developed with 8 sub-scales and administered to participants online. The data collected were subjected to Exploratory and Confirmatory factor analysis and some MANOVA. The results are consistent with multi-dimensionality of attitude theories and suggest the adopted methodology for the study is appropriate for future research with a more representative sample.

Findings: Factor analysis of 247 responses identified 6 constructs of individuals’ attitude towards personal data: Protective Behavior, Privacy Concerns, Cost-Benefit, Awareness, Responsibility and Security. This paper illustrates how the PDA scale can be a useful guide for information security research and design by briefly discussing the factor structure of the PDA and related results.

Originality/value: This study addresses a genuine gap in the research by taking the first step towards establishing empirical evidence for dimensions underlying personal data attitudes. It also adds a significant benchmark to a growing body of literature on understanding and modelling computer users’ security behaviors.

Journal Article Type Article
Publication Date Aug 1, 2017
Journal Information and Computer Security
Print ISSN 2056-4961
Electronic ISSN 2056-4961
Publisher Emerald
Peer Reviewed Peer Reviewed
APA6 Citation Addae, J. H., Brown, M., Sun, X., Towey, D., & Radenkovic, M. (2017). Measuring attitude towards personal data for adaptive cybersecurity. Information and Computer Security, doi:10.1108/ICS-11-2016-0085
DOI https://doi.org/10.1108/ICS-11-2016-0085
Keywords Personal data, Information disclosure, Privacy, Attitude scale, Cybersecurity, Information security modelling, Individual behavior
Publisher URL http://www.emeraldinsight.com/doi/pdfplus/10.1108/ICS-11-2016-0085
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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Manuscript for blind review_minor revision_20170206.pdf (534 Kb)
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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