Internet Financial Reporting Practices in Saudi Arabia

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Helmi A. Boshnak
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引用次数: 2

Abstract

This paper examines the firm characteristic and corporate governance determinants of Internet Financial Reporting (IFR) practices in Saudi Arabia to help address the paucity of research for MENA region firms. The paper employs manual content and regression analyses of online annual report data for Saudi listed firms for the year 2018 using 28 IFR disclosure items. The results show that Saudi firm IFR has increased over time compared to previous studies to an average of 85% disclosure as a result of IFRS implementation and new corporate governance regulations. Firm size is a positive determinant of IFR disclosure, firm age and ownership concentration are negative drivers. Further, the extent of IFR disclosure varies by industry type, while profitability, liquidity, leverage, board size, board independence and role duality have no impact on IFR disclosure. Employing agency and signalling theories, the paper determines the influence of firm characteristics and corporate governance on IFR, identifying implications for stakeholders, and providing some evidence on the impact of IFRSs and corporate governance regulation on such disclosure. Further, the paper provides additional insight into progress towards Saudi’s Vision 2030.
沙特阿拉伯的互联网财务报告实践
本文考察了沙特阿拉伯互联网财务报告(IFR)实践的公司特征和公司治理决定因素,以帮助解决中东和北非地区公司缺乏研究的问题。本文使用28个IFR披露项目对2018年沙特上市公司的在线年度报告数据进行了手工内容和回归分析。结果表明,由于实施国际财务报告准则和新的公司治理法规,沙特公司的国际财务报告比率随着时间的推移而增加,平均披露率为85%。公司规模是IFR披露的正向决定因素,公司年龄和股权集中度是负向驱动因素。此外,IFR披露的程度因行业类型而异,而盈利能力、流动性、杠杆率、董事会规模、董事会独立性和角色二元性对IFR披露没有影响。本文运用代理理论和信号理论,确定了公司特征和公司治理对国际财务报告准则的影响,确定了对利益相关者的影响,并就国际财务报告准则和公司治理监管对此类披露的影响提供了一些证据。此外,该文件还提供了对沙特2030年愿景进展的额外见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Biometrics
International Journal of Biometrics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
1.50
自引率
0.00%
发文量
46
期刊介绍: Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.
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