Blockchain, Big Data, and AI in Taxation: A Literature Review

This literature review explores the intersection of blockchain technology, big data analytics, and artificial intelligence (AI) in the realm of taxation. It examines how these technologies are being applied to enhance tax administration and revenue collection.

Blockchain as a Radical Innovation

Bandura, V., Daske, H., & Grasley, K. (2015). 'Blockchain as radical innovation: A framework for engaging with distributed ledgers as incumbent organizations.' In Platform disruptive strategies, open innovation and digital platforms (pp. 173-192). Springer, Cham.

This paper explores the potential of blockchain technology to disrupt traditional financial systems and proposes a framework for incumbent organizations to engage with distributed ledgers. It highlights the revolutionary nature of blockchain and its implications for tax administration, particularly in terms of transparency and traceability of transactions.

Accounting for Financial Instruments with Speculative Attributes

Bodie, Z. (2020). 'Accounting for financial instruments with speculative attributes.' Pacific-Basin Finance Journal, 60, 101268.

This article investigates the accounting challenges associated with financial instruments that have speculative attributes. It explores the complexities of valuing these instruments and the potential impact on tax liabilities. This research is relevant to the taxation of complex financial products, which are increasingly prevalent in global markets.

Tax Data Management System: Achieving Effective Tax Revenue Collection

Jobawa, S. O., & Olubukoye, O. E. (2021). 'Tax data management system: Achieving effective tax revenue collection through big data mining and artificial intelligence.' Business Process Management Journal.https://doi.org/10.1108/BPMJ-01-2021-0034

This paper examines the use of big data mining and AI in developing tax data management systems. It emphasizes the potential for these technologies to improve tax revenue collection by identifying tax evasion and optimizing tax policies.

Big Data Processing and Intelligent Risk Control in Supply Chain Finance

Yu, X., Lv, Y., Ma, X., Huang, W., Li, J., Chen, G., & Yuan, X. (2017). 'Big data processing and intelligent risk control of taxation in supply chain finance.' Future Generation Computer Systems, 76, 427-436.

This research explores the application of big data analytics and intelligent risk control mechanisms in the context of supply chain finance. It highlights the use of these technologies to enhance tax compliance and mitigate tax-related risks within complex supply chains.

Conclusion

These papers demonstrate the significant potential of blockchain, big data, and AI to transform tax administration and revenue collection. By leveraging these emerging technologies, tax authorities can improve transparency, efficiency, and effectiveness in managing tax systems.