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Addae, Joyce Hoese, Brown, Michael, Sun, Xu, Towey, Dave and Radenkovic, Milena (2017) Measuring attitude towards personal data for adaptive cybersecurity. Information and Computer Security . ISSN 2056-4961

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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.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/875484
Keywords:	Personal data, Information disclosure, Privacy, Attitude scale, Cybersecurity, Information security modelling, Individual behavior
Schools/Departments:	University of Nottingham Ningbo China > Faculty of Science and Engineering > School of Computer Science University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number:	https://doi.org/10.1108/ICS-11-2016-0085
Depositing User:	Radenkovic, Milena
Date Deposited:	09 Oct 2017 08:43
Last Modified:	04 May 2020 18:58
URI:	https://eprints.nottingham.ac.uk/id/eprint/47081

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