提高信息系统安全的大数据分析采用因素

Marouane Balmakhtar, Scott E. Mensch
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引用次数: 1

摘要

本研究测量了影响IT/IA专业人员推荐大数据分析以提高组织信息系统安全性意愿的决定因素。对文献和前人研究成果的回顾为研究问题的制定提供了基础。本研究的结果发现,安全有效性、组织需求和可靠性在决定推荐大数据分析以改善信息安全方面发挥着作用。这项研究通过确定影响IT/IA专业人员的因素,对大数据分析服务的消费者和提供商都有影响。这些因素旨在提高信息系统的安全性,因此,哪些服务产品可能满足这些专业人员及其组织的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Analytics Adoption Factors in Improving Information Systems Security
This research measured determinants that influence the willingness of IT/IA professionals to recommend Big Data analytics to improve information systems security in an organization. A review of the literature as well as the works of prior researchers provided the basis for formulation of research questions. Results of this study found that security effectiveness, organizational need, and reliability play a role in the decision to recommend big data analytics to improve information security. This research has implications for both consumers and providers of big data analytics services through the identification of factors that influence IT/IA professionals. These factors aim to improve information systems security, and therefore, which service offerings are likely to meet the needs of these professionals and their organizations.
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