The effect of Blockchain technology as a moderator on the relationship between big data and the risk of financial disclosure (analytical study in the Egyptian and Iraqi stock exchange)
Keywords:Blockchain technology, big data, financial disclosure, Iraqi, Egyptian stock exchange
This paper aims to explain the impact of Blockchain Technology as a moderator in the relationship between Big Data and The Risk of Financial Disclosure to address the Risk of Financial Disclosure. Therefore, this technique was used to reduce the risks of disclosing financial and accounting data for various companies. The estimated population size of accounting information systems and information technology professionals is more than 300 in the Egyptian and Iraqi Stock Exchange. The results indicate that all the direct hypotheses that reflect the relation between Big Data characteristics and FDR are supported which is less than 0.05. There is no impact of Volume on Financial Disclosure Risk with a p-value=0.074. the indirect effect of Blockchain Technology on the relationship between (VEL, VER and VOL) and Financial Disclosure Risk was significant with a p-value of 0.048,0.024,0.001 respectively, which is less than 0.05 and does not support the relationship between VAR and Financial Disclosure Risk a p-value of 0.735. Then, we recommend state-of-the-art studies on the use of blockchain for big data applications in different vertical domains such as smart cities, Financial transactions, smart transportation, and smart bank accounts. For a better understanding, some representative blockchain-big data projects are also presented and analysed. Finally, challenges and future directions are discussed to further drive research in the countries of the Middle East. This paper presents the novel solutions associated with Big Data with Financial Disclosure Risks that can be addressed by Blockchain technology. As Well as present the motivations behind the use of blockchain for big data. We show that blockchain has great potential for facilitating big data analytics such as control of dirty data, enhanced security and transparency, enhanced quality of data, the management of data sharing and, Addressing risk financial disclosure
- All thanks and appreciation to the organizing committee of the 4th International Conference on Business, Management and Finance. I also wish to thank Dr. Raad Naser Hanoon for his encouragement, guidance, and support, which helped me to complete the study in due time. I also extend my sincere thanks to the Dean of Mazaya University College, Prof. Dr. Imad Ibrahim Daoud, for supporting scientific research at this institution.
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