Measuring attitude towards personal data for adaptive cybersecurity
Measuring attitude towards personal data for adaptive cybersecurity
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DOI：
10.1108/ics-11-2016-0085
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发表时间：
2017-11
期刊：
影响因子：
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通讯作者：
J. Addae;Michael A. Brown;Xu Sun;Dave Towey;M. Radenkovic
中科院分区：
文献类型：
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作者：
J. Addae;Michael A. Brown;Xu Sun;Dave Towey;M. Radenkovic
目的本文提出了一个初步发展的个人数据态度（PDA）测量工具的基础上建立的心理测量学原则。该研究的目的是开发一个可靠的测量量表，用于量化和比较对个人数据的态度，这些数据可以纳入网络安全行为研究模型。随着越来越多的技术被设计用于收集、整理、分享和分析个人数据，这种量表对于了解个人对特定数据集的态度是必要的。设计/方法/方式一组初始的34个五点Likert风格的项目开发了8个分量表和管理参与者在线。收集的数据进行了探索性和验证性因素分析和MANOVA。研究结果与态度理论的多维性相一致，并表明所采用的研究方法适合于未来更具代表性的样本研究。结果-因子分析247响应确定了六个结构的个人对个人数据的态度：保护行为，隐私问题，成本效益，意识，责任和安全。本文通过对PDA的因素结构和相关结果的简要讨论，说明PDA量表如何能为信息安全研究和设计提供有用的指导。独创性/价值-这项研究解决了一个真正的差距，在研究中采取的第一步，建立经验证据的维度基本的个人数据的态度。它还为越来越多的关于理解和模拟计算机用户安全行为的文献增加了一个重要的基准。
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 behavioural 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 analyse personal data. Design/methodology/approach An initial set of 34 five-point Likert-style items were developed with eight subscales and administered to participants online. The data collected were subjected to exploratory and confirmatory factor analyses and MANOVA. The results are consistent with the multidimensionality of attitude theories and suggest that the adopted methodology for the study is appropriate for future research with a more representative sample. Findings Factor analysis of 247 responses identified six constructs of individuals’ attitude towards personal data: protective behaviour, 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 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 behaviours.