Need for information security policies compliance: A perspective in Higher Education Institutions

Sadaf Hina, D. D. Dominic
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引用次数: 8

Abstract

Organizations profoundly rely on contemporary information systems as they store essential business and resources data. Security of these information systems is critically handled by applying both technical and behavioral controls. However, security culture in certain organizations such as Higher Education Institutions (HEI) is questionable due to the lax attitude of employees towards the institutional resources. This research intends to examine the effect of institutional governance (IG) factors security awareness programs, establishment of security policies and periodic monitoring in enhancing the protection motivation among employees. It is believed that employees motivated, through various sources of information, towards the protection of resources intend to comply with organizational Information Security Policies (ISP) documented to disseminate the roles and responsibilities of employees. The two relevant theories i.e. Protection Motivation Theory (PMT) and Theory of Planned Behavior (TPB) are integrated for this research. The effect of IG and negative experience, as external sources of information, is investigated on the integrated theories. Relevant hypotheses are formulated in the proposed hybrid research model. To pilot test the survey questionnaire, data collection was done among the employees within the HEI of Malaysia. Results were derived using IBM SPSS 23. Pilot study shows reliable measurement scales, suitable for final data collection and analysis to validate the research model.
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信息安全策略遵从性的需求:高等教育机构的视角
组织深深地依赖于现代信息系统,因为他们存储重要的业务和资源数据。这些信息系统的安全性是通过应用技术和行为控制来关键处理的。但是,高等教育机构(HEI)等部分机构的保安文化因员工对机构资源的松懈态度而受到质疑。本研究旨在探讨机构治理(IG)因素、安全意识计划、安全政策的建立和定期监测对提高员工保护动机的影响。我们认为,员工受到激励,通过各种信息来源,倾向于保护资源,以遵守组织的信息安全政策(ISP)文件,以传播员工的角色和责任。本研究结合了保护动机理论(PMT)和计划行为理论(TPB)两种相关理论。综合理论研究IG和负面体验作为外部信息源的影响。在提出的混合研究模型中提出了相关假设。为了对调查问卷进行试点测试,在马来西亚高等教育机构的员工中进行了数据收集。结果采用IBM SPSS 23进行统计。初步研究显示了可靠的测量尺度,适合于最终的数据收集和分析,以验证研究模型。
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