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An Empirical Examination of the Effects of CTO Leadership on the Alignment of the Governance of Big Data and Information Security Risk Management Effectiveness

机译:关于CTO领导力对大数据和信息安全风险管理效率对策的对策的实证审查

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Aim/Purpose: Board of Directors seek to use their big data as a competitive advantage. Still, scholars note the complexities of corporate governance in practice related to information security risk management (ISRM) effectiveness. Background: While the interest in ISRM and its relationship to organizational success has grown, the scholarly literature is unclear about the effects of Chief Technology Officers (CTOs) leadership styles, the alignment of the governance of big data, and ISRM effectiveness in organizations in the West-ern United States. Methodology: The research method selected for this study was a quantitative, correlational research design. Data from 139 participant survey responses from Chief Technology Officers (CTOs) in the Western United States were analyzed using 3 regression models to test for mediation following Baron and Kenny’s methodology. Contribution: Previous scholarship has established the importance of leadership styles, big data governance, and ISRM effectiveness, but not in a combined understanding of the relationship between all three variables. The researchers’ primary objective was to contribute valuable knowledge to the practical field of computer science by empirically validating the relationships between the CTOs leadership styles, the alignment of the governance of big data, and ISRM effectiveness. Findings: The results of the first regression model between CTOs leadership styles and ISRM effectiveness were statistically significant. The second regression model results between CTOs leadership styles and the alignment of the governance of big data were not statistically significant. The results of the third regression model between CTOs leadership styles, the alignment of the governance of big data, and ISRM effectiveness were statistically significant. The alignment of the governance of big data was a significant predictor in the model. At the same time, the predictive strength of all 3 CTOs leadership styles was diminished between the first regression model and the third regression model. The regression models indicated that the alignment of the governance of big data was a partial mediator of the relationship between CTOs leadership styles and ISRM effectiveness. Recommendations for Practitioners: With big data growing at an exponential rate, this research may be useful in helping other practitioners think about how to test mediation with other interconnected variables related to the alignment of the governance of big data. Overall, the alignment of governance of big data being a partial mediator of the relationship between CTOs leadership styles and ISRM effectiveness suggests the significant role that the alignment of the governance of big data plays within an organization. Recommendations for Researchers: While this exact study has not been previously conducted with these three variables with CTOs in the Western United States, overall, these results are in agreement with the literature that information security governance does not significantly mediate the relationship between IT leadership styles and ISRM. However, some of the overall findings did vary from the literature, including the predictive relationship between transactional leadership and ISRM effectiveness. With the finding of partial mediation indicated in this study, this also suggests that the alignment of the governance of big data provides a partial intervention between CTOs leadership styles and ISRM effectiveness. Impact on Society: Big data breaches are increasing year after year, exposing sensitive information that can lead to harm to citizens. This study supports the broader scholarly consensus that to achieve ISRM effectiveness, better alignment of governance policies is essential. This research highlights the importance of higher-level governance as it relates to ISRM effectiveness, implying that ineffective governance could negatively impact both leadership and ISRM effectiveness, which could potentially cause reputational harm. Future Research: This study raised questions about CTO leadership styles, the specific governance structures involved related to the alignment of big data and ISRM effectiveness. While the research around these variables independently is mature, there is an overall lack of mediation studies as it relates to the impact of the alignment of the governance of big data. With the lack of alignment around a universal framework, evolving frameworks could be tested in future research to see if similar results are obtained.
机译:目标/目的:董事会寻求将其大数据作为竞争优势。仍然,学者们注意到与信息安全风险管理(ISRM)有效相关的实践中公司治理的复杂性。背景:虽然ISRM的兴趣及其与组织成功的关系,但学术文学尚不清楚首席技术官(CTO)领导风格的影响,对大数据的治理方面的一致性,以及在组织中的ISRM有效性美国西部。方法论:本研究选择的研究方法是定量,相关的研究设计。在美国西部首席技术官(CTO)的139名参与者调查答复中,使用3个回归模型进行分析,以测试Baron和Kenny的方法后调解。贡献:以前的奖学金已经建立了领导风格,大数据治理和ISRM效率的重要性,但并不是在综合理解所有三个变量之间的关系。研究人员的主要目标是通过经验验证CTO领导风格之间的关系,大数据的治理对齐的关系,为计算机科学的实际领域提供有价值的知识。调查结果:CTOS领导风格和ISRM有效性之间的第一个回归模型的结果在统计上显着。第二次回归模型导致CTO领导风格与大数据治理的对齐在统计上没有统计学意义。 CTO在CTO领导风格之间的第三次回归模型的结果,对大数据的治理的对齐以及ISRM有效性在统计上显着。大数据的治理的对齐是模型中的重要预测因子。与此同时,在第一回归模型和第三回归模型之间减少了所有3个CTO领导风格的预测强度。回归模型表明,大数据治理的对齐是CTO领导风格与ISRM效率之间关系的部分调解器。从业者的建议:大数据以指数率增长,这项研究可能有助于帮助其他从业人员考虑如何与与大数据的治理的对齐相关的其他互连的变量进行调解。总体而言,大数据的治理是一个部分介质的CTO领导风格和ISRM效果之间的部分调解员表明,在组织内部扮演大数据播放的治理对齐的重要作用。研究人员的建议:虽然本精确的研究尚未通过这三个变量与美国西部的CTO,但总体而言,这些结果与信息安全治理没有显着调解IT领导风格之间关系的文献一致ISRM。然而,一些整体调查结果从文献中变化,包括交易领导和ISRM效力之间的预测关系。随着本研究表明的部分调解的发现,这也表明大数据的治理对齐提供了CTO领导风格和ISRM效率之间的部分干预。对社会的影响:大数据违规年度越来越多,暴露可能导致公民伤害的敏感信息。本研究支持更广泛的学术协商一致意见,以实现ISRM效力,更好地对准治理政策至关重要。本研究强调了高层治理的重要性,因为它涉及ISRM效率,这意味着无效的治理可能会对领导力和ISRM的效力产生负面影响,这可能导致危害的危害。未来的研究:本研究提出了关于CTO领导风格的问题,涉及与大数据和ISRM效力的对齐相关的具体治理结构。虽然这些变量的研究独立地是成熟的,但整体缺乏调解研究,因为它涉及大数据治理的对准的影响。随着普遍框架的缺乏对准,可以在将来的研究中测试不断发展的框架,以了解是否获得了类似的结果。

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