Application of Blockchain Technology into Public Sector Accountability and Financial Reporting Transparency in Bangladesh
DOI:
https://doi.org/10.54536/ajfti.v4i1.6439Keywords:
Blockchain, Data Reliability, Data Traceability, Financial Reports, Window DressingAbstract
Accessibility to authentic and reliable financial reports is sin qua non for investors, consumers or any other stake holders, ensuring data credibility, real time data traceability making shield against corruption and window dressing. Nowadays, the surge of real-time data traceability has become a very significant factor, while blockchain technology undoubtedly plays a pivotal role as the data protector. In this study, it has been shown that how blockchain technology can be coined with operating system to protect and provide reliable financial reports to the stake holders connected to the public sectors of Bangladesh.
Moreover, a proper frame work about how authentic and reliable financial reports can be provided to public sector stake holders has been proposed. In this frame work, different levels of service providers and analysists remain connected to one another providing data collected from field levels and analyze this data to make the proper reports to the superior level without data manipulation and thus ensuring data reliability. All participants in the frame work remain connected to the operating system, distributed ledger, and cloud computing as well. Nods are designed to stay at different levels to permit data to be incorporated and thus to ensure that data is protected from hacking, window dressing etc. This study thus helps to explore how blockchain technology, coupled with data science, can play a pivotal role in generating proper financial reports and making them available to its stakeholders in real time
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Appendix
Figure 1: Annual Financial Value of Bkash Remittance over years
Figure 2: How blockchain technology contributes for financial reports’ transparency
Figure 3: A proposed framework for financial reports using blockchain technology
DID (Difference In Difference) = (Mean of change adopter – mean of change non adopter)
= Change adopter (sum of total amount / total years) – Change non adopter (sum of total amount / total years)
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Copyright (c) 2026 Prasenjit Sarker, Chironjit Sarker, Md. Abu Hanif, Khadija Huq
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