大数据使用对会计信息系统影响的文献研究——基于以往研究的比较

Muhammad Iqbal Sidiq, William Stanley Roth, T. Rusmanto
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引用次数: 0

摘要

大数据等技术为公司和市场提供了机会,可以根据获得的数据确定实现目标的前进方向。在构建传统的信息生命周期模型时,要适应大数据的多样性。由此产生的模型限制了通过满足信息需求和控制内部和外部决策将大数据转化为信息的信息系统。大数据不仅是一个需要处理的庞大、复杂的数据,被认为是一个非凡的机会,而且还指的是在一个数据丰富、经验驱动的生活世界中思考或生活的方式。会计信息系统的硬件和软件都是重要的组成部分,因为硬件系统的安全性也必须考虑。在这篇文章中,研究者发现大数据对公司报告有很大的影响。大数据对公司报告的影响在于,通过大数据技术进行的数据分析大大减少了公司报告时间,有助于选择、组织和处理信息,以确保任何组织的有效决策。其他研究结果表明,大数据可以用于收集和处理信息资源,并确保信息处理效率。因此,本研究的重点是在前人研究的基础上,比较大数据的使用对会计信息系统的影响。
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Literature Study on the Effect of Big Data Usage on Accounting Information Systems Looking at Comparisons of Previous Research
Technologies such as Big Data present opportunities for companies and markets to determine the way forward to achieve their goals in accordance with the data obtained. In the construction of a traditional information life cycle to model cycles that accommodate the diversity of Big Data. The resulting model limits information systems that turn Big Data into information by meeting information needs and controlling internal and external decision-making. Big data is not only a large, complex data to deal with and considered an extraordinary opportunity but also refers to the way of thinking or living in a data-rich and empirically driven world of life. Accounting information systems, both hardware and software are important components because the security of hardware systems must also be considered. In this article, researchers found that big data is very influential on corporate reporting. The impact that big data has on corporate reporting is that reducing company reporting time, data analysis through big data techniques significantly helps in the selection, organization, and processing of information to ensure efficient decision making in any organization. Other findings state that big data can be used to collect and process information resources and ensure information processing efficiency. Therefore, the focus in this study is to compare the influence of big data usage on accounting information systems based on previous research.
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