The Workplace Information Sensitivity Appraisal (WISA) scale

The Workplace Information Sensitivity Appraisal (WISA) scale
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工作场所信息敏感性评估(WISA)量表

DOI:
10.1016/j.chbr.2022.100240
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发表时间:
2022
期刊:
Computers in Human Behavior Reports
影响因子:
--
通讯作者:
Blythe J
Blythe J
中科院分区:
--
文献类型:
--
作者:
Blythe J

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安全方面的人为错误在大多数对企业的网络攻击中起着重要作用。安全行为受到许多因素的影响,包括个人对信息敏感性的看法。然而,目前缺乏对信息敏感性及其在确定安全行为方面的作用的经验性衡量。这项研究提出了一种信息敏感性评估的措施,预测安全行为。我们概述了工作场所信息敏感性评估量表的设计,开发和验证。的心理测量属性进行了评估,数据来自326名员工在英国的在线样本。该量表包括五个分量表:隐私,价值,后果,他人的低接近兴趣和他人的高接近兴趣。最终的16项WISA量表,连同其五个分量表,代表了工作场所信息敏感性评估的综合措施。WISA量表具有较强的因子效度,在8种信息类型中得到证实,具有较强的内容效度,良好的标准相关效度,足够的判别效度和较高的内部信度。这项研究利用WISA量表来探索八种信息类型的敏感性差异:四种涉及生活中的个人(个人,健康,财务和生活方式)和四种以组织为重点的信息类型(IP,日常,商业和人力资源)。财务信息的整体敏感度最高,其次是健康和人力资源。最后,WISA量表的分数预测了一系列安全行为,包括密码使用,安全Wi-Fi使用,物理安全和避免安全风险。这表明了信息敏感性评估作为安全行为决定因素的潜在作用。
Human error in security plays a significant role in the majority of cyber-attacks on businesses. Security behaviours are impacted by numerous factors, including individual perceptions of information sensitivity. However, there is currently a lack of empirical measurement of information sensitivity and its role in determining security behaviours. This research presents a measure of information sensitivity appraisal that predicts security behaviour. We outline the design, development and validation of the Workplace Information Sensitivity Appraisal scale. The psychometric properties were assessed with data from an online sample of 326 employees in the UK. The scale comprises of five subscales: Privacy, Worth, Consequences, Low proximity interest by others and High proximity interest by others. The final 16-item WISA scale, alongside its five subscales, represents a comprehensive measure of information sensitivity appraisal in the workplace. The WISA scale has been found to have strong factorial validity, confirmed across eight information types, strong content validity, good criterion-related validity, adequate discriminant validity, and high internal reliability. This research utilised the WISA scale to explore sensitivity differences across eight information types: four concerning living individuals (Personal, Health, Financial & Lifestyle) and four organisationally-focused information types (IP, day to day, commercial & HR). Financial information was found to have the highest ratings for overall sensitivity followed by health and HR. Finally, scores for the WISA scale predicted a range of security behaviours including password usage, secure Wi-Fi usage, physical security and avoiding security risks. This demonstrates the potential role for information sensitivity appraisal as a determinant of security behaviours.
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