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The Moderating Role of Business Intelligence in the Impact of Big Data on Financial Reports Quality in Jordanian Telecom Companies

机译:商业智能在大数据对约旦电信公司财务报告质量的影响中的调节作用

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This study aimed at discovering the impact of big data in terms of its dimensions (Variety, Velocity, Volume, and Veracity) on financial reports quality in the present business intelligence in terms of its dimensions (Online Analytical Processing (OLAP), Data Mining, and Data Warehouse) as a moderating variable in Jordanian telecom companies. The sample included (139) employees in Jordanian Telecom Companies. Multiple and Stepwise Linear Regression were used to test the effect of the independent variable on the dependent variable. And Hierarchical Regression analysis, to test the effect of the independent variable on the dependent variable in the presence of the moderating variable. The study reached a set of results, the most prominent of which was the presence of a statistically significant effect of using big data in improve the quality of financial reports, Business intelligence contributes to improving the impact of big data in terms of its dimensions (Volume, Velocity, Variety, and Veracity) on the quality of financial reports. The study recommends the necessity of working on making use of big data and resorting to business intelligence solutions because of its great role in improving the quality of financial reports and thus supporting decision-making functions for a large group of users.
机译:这项研究旨在发现大数据的维度(品种,速度,体积和准确性)对当前商务智能中财务报告质量的影响(在线分析处理(OLAP),数据挖掘,和数据仓库)作为约旦电信公司的调节变量。样本包括约旦电信公司的(139)名员工。多元和逐步线性回归用于测试自变量对因变量的影响。并进行层次回归分析,以测试在存在变量的情况下自变量对因变量的影响。该研究得出了一系列结果,其中最突出的是使用大数据改善财务报告质量具有统计学上的显着效果。商业智能有助于提高大数据在维度上的影响(卷,速度,多样性和准确性)。该研究建议必须利用大数据并诉诸商业智能解决方案,因为它在改善财务报告的质量并因此支持大量用户的决策功能方面发挥着重要作用。

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