Developing an Accounting Disclosure Framework in A Big Data Environment: An Applied Study in The Egyptian Banks

Dr. Ahmed Mohamed Ibrahim Fadel, Bassant Sayed Ahmed Amin
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Abstract

The research aims to suggest a model for accounting disclosure in a big data environment that improves the quality of accounting information of Egyptian banks. The researchers depend on the use of the content analysis method to analyze quarterly financial reports, the reports of the Board of Directors of banks operating in Egypt from 1/1/2019 to 31/12/2020. The E-VIEWS program have been used to test the study’s assumptions that reflect the relationship between disclosure development in a big data environment. Additionally, Qualitative Characteristics of Useful Financial Information. The results of the study indicate a significant digit’s correlation between the development of accounting disclosure in a big data environment expressed by the total disclosure model in a big data environment and relevance, as well as a non-significant digits and a direct correlation between the form disclosure index in a big data environment and relevance. It also indicates significant digits and a direct correlation between (the public content disclosure index, the financial content disclosure index, and between the disclosure index through the use of networks and social media) in a big data environment and relevance. It also indicates a significant digit’s relationship between the development of accounting disclosure in a big data environment expressed by the total disclosure model the form disclosure index in a big data environment and faithful representation. It also indicates significant digits and the expletive relationship between the public content disclosure index, as well as a significant digits and direct correlation between the financial disclosure index and faithful representation and specifies significant digits and direct correlation between the disclosure index through the use of networks and social media in the context of a big data environment and faithful representation.
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大数据环境下会计信息披露框架的构建:对埃及银行的应用研究
本研究旨在提出一个大数据环境下的会计披露模型,以提高埃及银行会计信息的质量。研究人员依靠使用内容分析法来分析季度财务报告,即2019年1月1日至2020年12月31日在埃及经营的银行的董事会报告。E-VIEWS项目被用来检验该研究的假设,这些假设反映了大数据环境中披露发展之间的关系。此外,有用财务信息的定性特征。研究结果表明,大数据环境下以总量披露模型表示的大数据环境下会计披露发展与相关性呈显著相关,大数据环境下形式披露指标与相关性呈非显著相关。这也表明在大数据环境下(公共内容披露指数、金融内容披露指数、利用网络和社交媒体的披露指数)与相关性之间存在显著数字和直接相关关系。这也表明了以总披露模型表示的大数据环境下会计披露的发展与大数据环境下的形式披露指数与忠实再现之间存在显著的关系。指出了公共内容披露指数的有效位数与咒骂关系,以及财务披露指数与忠实再现的有效位数与直接相关关系,并通过大数据环境下利用网络和社交媒体明确披露指数的有效位数与忠实再现之间的直接相关关系。
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