Reconciling Institutional Theory with BlockchainEnabled ERP: A MiddleRange Theory of Financial Fraud Detection

Authors

  • Totok Dewayanto Department of Accounting, Universitas Diponegoro

DOI:

https://doi.org/10.59890/ijatss.v4i7.267

Keywords:

Blockchain, Enterprise Resource Planning, Financial Fraud Detection, Institutional Theory, Smart Contracts, Systematic Literature Review

Abstract

Integrating blockchain and smart contracts into Enterprise Resource Planning (ERP) systems promises continuous financialfraud detection, yet adoption still faces unresolved theoretical and practical gaps. Institutional Theory falls short in explaining firms' internalefficiency motivations when technical solutions such as zeroknowledge proofs (ZKP) surpass regulatory barriers, while the absence of professional audit standards for validating oracle integrity raises the risk of “immutable garbage.”This study conducts a systematic literature review following the PRISMA 2020 protocol, synthesizing 33 studies on blockchainERP integration for financial fraud detection in accounting and auditing.The synthesis indicates four priority gaps (priority score ≥8): theoretical, empirical (oracle reliability), contextual, and practical. We propose a contextual modification of Institutional Theory and two MiddleRange Theory (MRT) propositions  P1 (oraclemiddleware integration improves auditevidence integrity and crossorganization reconciliation speed) and P2 (smart contracts acting as realtime audit oracles surpass the effectiveness of periodic audit in fraud detection).Implications include the need for operational audit standards to validate oracle integrity and for middleware designs that reconcile deterministic ERP databases with blockchain consensus. Confirmation is bounded to permissioned blockchains with low latency; crossjurisdiction generalization remains untested

References

AbadSegura, E. (2021). [Incomplete bibliographic record in source manuscript title, venue, and DOI not available.]

Albalwy, F. (2026). [Incomplete bibliographic record in source manuscript title, venue, and DOI not available.]

Alkafaji, Y. (2023). [Incomplete bibliographic record in source manuscript title, venue, and DOI not available.]

Alles, M., Kogan, A., & Vasarhelyi, M. A. (2006). [Incomplete bibliographic record in source manuscript title, venue, and DOI not available.]

Androulaki, E., Barger, A., Bortnikov, V., Cachin, C., Christidis, K., De Caro, A., ... Vukolić, M. (2018). Hyperledger Fabric: A distributed operating system for permissioned blockchains. Proceedings of the 13th EuroSys Conference (EuroSys '18). https://doi.org/10.1145/3190508.3190538

Association of Certified Fraud Examiners. (2024). Occupational fraud 2024: A report to the nations.

Cachin, C. (2016). Architecture of the Hyperledger blockchain fabric. In Workshop on Distributed Cryptocurrencies and Consensus Ledgers (DCCL 2016) (Vol. 310).

Cai, Y. (2021). [Incomplete bibliographic record in source manuscript title, venue, and DOI not available.]

Caldarelli, G. (2024). Cool, but what about oracles? An oraclebased perspective on blockchain integration in the accounting field. arXiv:2412.20447.

Coyne, J. G., & McMickle, P. L. (2017). Can blockchains serve an accounting purpose? Journal of Emerging Technologies in Accounting, 14(2), 101–111. https://doi.org/10.2308/jeta51910

Crowe. (2023). The financial cost of fraud 2023.

Dai, J., & Vasarhelyi, M. A. (2017). Toward blockchainbased accounting and assurance. Journal of Information Systems, 31(3), 5–21. https://doi.org/10.2308/isys51804

DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147–160.

Faccia, A., Sawan, N., Eltweri, A., & Beebeejaun, Z. (2021). Financial big data security and privacy in Xaccounting: A step further to implement the tripleentry accounting. ACM International Conference Proceeding Series, 7–12. [DOI incomplete in source manuscript.]

Farrukh. (2025). [Incomplete bibliographic record in source manuscript first name/initials, title, venue, and DOI not available.]

Grigg, I. (2005). Triple entry accounting. Financial Cryptography. [Source manuscript notes inconsistent citation years (2005 vs. 2011) across the corpus; standardized to 2005 here.]

Hassanein. (2025). [Incomplete bibliographic record in source manuscript first name/initials, title, venue, and DOI not available.]

Ijiri, Y. (1986). A framework for tripleentry bookkeeping. The Accounting Review, 61(4), 745–759.

INATBA. (2024). Leveraging zeroknowledge proofs for GDPR compliance in blockchain projects (D. Zein, W. Pinkwart, et al., Eds.). INATBA Position Paper.

Jamithireddy, N. H. (2025). Decentralized finance integration with ERP systems for secure smart contract-based transactions. Research Briefs on ICT Evolution (ReBICTE), 11(1), Article 01.

Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305–360.

Katz, M. L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. American Economic Review, 75(3), 424–440.

Lazarov, I., Botha, Q., Costa, N. O., & Hackel, J. (2022). Reporting of crossborder transactions for tax purposes via DLT. In CCIS (Vol. 1633). Springer. https://doi.org/10.1007/9783031143434_26

Liu, M., Wu, K., & Xu, J. J. (2019). How will blockchain technology impact auditing [Title incomplete in source manuscript].

Nakamoto, S. (2008). Bitcoin: A peertopeer electronic cash system [White paper].

Neuroquantology. (2022). A blockchainenabled realtime fraud detection framework for financial institutions leveraging AIpowered risk assessment and tamperproof transaction auditing. Neuroquantology, 20(8), 11589–11605. https://doi.org/10.48047/nq.2022.20.8.nq221200

Nguyen, V.C., et al. (2019). Digitizing invoice and managing VAT payment using blockchain smart contract. 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC). IEEE.

O'Leary, D. E. (2017). [Incomplete bibliographic record in source manuscript title, venue, and DOI not available.]

O'Leary, D. E. (2019). [Incomplete bibliographic record in source manuscript title, venue, and DOI not available.]

Percherla. (2024). [Incomplete bibliographic record in source manuscript first name/initials, title, venue, and DOI not available.]

Peters, G. W., & Panayi, E. (2016). Trends in cryptocurrencies and blockchain technologies: Interdisciplinary perspectives. Queen Mary University of London, School of Mathematical Sciences. [Source manuscript notes inconsistent citation years (2016 vs. 2015) across the corpus; standardized to 2016 here.]

Raizada. (2026). [Incomplete bibliographic record in source manuscript first name/initials, title, venue, and DOI not available.]

Rozario, A. M., & Thomas, C. (2019). Reengineering the audit with blockchain and smart contracts. Journal of Emerging Technologies in Accounting, 16(1), 21–35. https://doi.org/10.2308/jeta52432

Secinaro, S. (2022). [Incomplete bibliographic record in source manuscript title, venue, and DOI not available.]

Sheldon, M. D. (2019). [Incomplete bibliographic record in source manuscript title, venue, and DOI not available.]

Sheldon, M. D. (2021). Auditing the blockchain oracle problem. Journal of Information Systems, 35(1), 121–133. https://doi.org/10.2308/ISYS19049

Smith. (2023). [Incomplete bibliographic record in source manuscript first name/initials, title, venue, and DOI not available.]

Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington Books.

Vasarhelyi, M. A., Kogan, A., & Alles, M. (1991). [Incomplete bibliographic record in source manuscript title, venue, and DOI not available.]

Published

2026-08-01

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Section

Articles