Blockchain-Based Smart Contracts in Microfinance: Enhancing Trust and Reducing Transaction Costs in Southeast Asia

Farida Akbarina (1), Nina Anis (2), Rashid Rahman (3)
(1) Politeknik Negeri Malang, Indonesia,
(2) Monash University, Malaysia,
(3) Universiti Putra, Malaysia

Abstract

Microfinance plays a vital role in financial inclusion in Southeast Asia, yet persistent challenges such as high transaction costs, information asymmetry, and limited transparency continue to undermine institutional sustainability and borrower trust. This study aims to examine how blockchain-based smart contracts enhance trust and reduce transaction costs within microfinance institutions operating in Southeast Asia. A mixed-methods research design is employed, combining quantitative analysis of transaction cost indicators, loan processing efficiency, and repayment performance with qualitative insights from microfinance practitioners and borrowers. Data are collected from selected institutions implementing smart contract systems in Indonesia, Vietnam, and the Philippines. The results indicate significant reductions in administrative, monitoring, and enforcement costs alongside faster loan disbursement processes. Improved transparency and automated contract execution contribute to higher levels of borrower trust, fewer disputes, and stronger repayment discipline. The findings reveal a positive relationship between transaction cost reduction and trust enhancement, suggesting that operational efficiency reinforces institutional credibility. The study concludes that blockchain-based smart contracts function as socio-technical mechanisms that reshape governance structures in microfinance rather than serving solely as efficiency tools. The novelty of this research lies in its empirical demonstration that technological trust embedded in smart contracts can complement and partially replace relational trust, offering a context-sensitive framework for digital financial inclusion in Southeast Asia.


 


 

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References

Adjei, P. K., Zhiguang, Q., Obiri, I. A., Badjie, A., Cobblah, C. N. A., Alqahtani, A., Gu, Y. H., & Al-antari, M. A. (2025). A graph attention network-based multi-agent reinforcement learning framework for robust detection of smart contract vulnerabilities. Scientific Reports, 15(1). Scopus. https://doi.org/10.1038/s41598-025-14032-w

Ahmadzadeh, B., Haghighian Roudsari, A., HajiHosseinKhani, S., & Lashkari, A. (2025). SCsVulSegLytix: Detecting and extracting vulnerable segments from smart contracts using weakly-supervised learning. Journal of Systems and Software, 230. Scopus. https://doi.org/10.1016/j.jss.2025.112532

Ali, G. M. A., Chen, H., Wang, Z., & Du, C. (2025). CrossGuard: Runtime-Adaptive LLM Fuzzing for Cross-Contract Vulnerabilities Detection. Concurrency and Computation: Practice and Experience, 37(27–28). Scopus. https://doi.org/10.1002/cpe.70421

Bawa, G., Singh, H., Rani, S., Kataria, A., & Min, H. (2025). Smart traceable framework for transportation of transplantable organs using IPFS, iot, and smart contracts. Scientific Reports, 15(1). Scopus. https://doi.org/10.1038/s41598-025-06471-2

Bedi, P., Jindal, V., Ningshen, N., & Gole, P. (2025). DBESN: A novel model for detecting and identifying malicious code in a smart contract. Blockchain: Research and Applications, 6(4). Scopus. https://doi.org/10.1016/j.bcra.2025.100304

De, Y., de Oliveira, N. R., Barbosa, G. N. N., Reis, L. H. A., Mendes, A. C. R., de Oliveira, M. T., Medeiros, D. S. V., & Mattos, D. M. F. (2025). Decentralized security in blockchain-based digital health systems: Self-sovereign identity, access control, and auditing with smart contracts. Cluster Computing, 28(15). Scopus. https://doi.org/10.1007/s10586-025-05669-3

Gan, J., Su, J., Lin, K., & Zheng, Z. (2025). FinanceFuzz: Fuzzing smart contracts with financial properties. Blockchain: Research and Applications, 6(4). Scopus. https://doi.org/10.1016/j.bcra.2025.100301

Grande, M., & Borondo, J. (2025). On the relationship between market regimes and the evolution of network properties in the Ethereum market. Physica A: Statistical Mechanics and Its Applications, 680. Scopus. https://doi.org/10.1016/j.physa.2025.131000

Guo, X., Zuo, Y., & Li, D. (2025). When auditing Meets Blockchain: A study on applying blockchain smart contracts in auditing. International Journal of Accounting Information Systems, 56. Scopus. https://doi.org/10.1016/j.accinf.2025.100730

Han, P. (2025). AI-powered digital arbitration framework leveraging smart contracts and electronic evidence authentication. Scientific Reports, 15(1). Scopus. https://doi.org/10.1038/s41598-025-21313-x

Kaddari, A., & Hamza, H. (2025). NFT-Enabled Smart Contracts for Privacy-Preserving and Supervised Collaborative Healthcare Workflows. Electronics (Switzerland), 14(23). Scopus. https://doi.org/10.3390/electronics14234722

Kaushik, K., Halder, R., & Mondal, S. (2025). Analyzing Safety and Security of Solidity Smart Contracts via Semantics-Preserving Transcompilation. Innovations in Systems and Software Engineering, 21(4), 1479–1498. Scopus. https://doi.org/10.1007/s11334-025-00615-3

Kim, K. B., Cho, C. S., Kim, D. J., & Kim, S. B. (2025). A pilot study on developing smart contracts in the construction industry: Establishing strategies for improving standard contract terms in the Korean Construction Engineering Industry. KSCE Journal of Civil Engineering, 29(12). Scopus. https://doi.org/10.1016/j.kscej.2025.100289

Lin, C. Y., Zhao, H., & Liu, J. H. (2025). A lightweight vulnerability detection method for long smart contracts based on bimodal feature fusion. Cybersecurity, 8(1). Scopus. https://doi.org/10.1186/s42400-024-00332-7

Liu, L., Gu, Q., & Ke, W. (2025). AGTS: Novel automated generation of smart contract test suites for Hyperledger Fabric. Scientific Reports, 15(1). Scopus. https://doi.org/10.1038/s41598-025-14218-2

Liu, P., Wu, X., Peng, Y., Shan, H., Mahmoudi, S., Choi, B. J., & Lao, H. (2025). Trustworthy and efficient project scheduling in IIoT based on smart contracts and edge computing. Journal of Cloud Computing, 14(1). Scopus. https://doi.org/10.1186/s13677-025-00726-z

Mariniello, G., Gragnaniello, C., & Asprone, D. (2025). Enhancing structural health monitoring data management and damage detection in digital twins with blockchain and smart contracts. Automation in Construction, 180. Scopus. https://doi.org/10.1016/j.autcon.2025.106558

Murala, D. K., Loucif, S., Rao, K. V. P., & Hamam, H. (2025). Enhancing smart contract security using a code representation and GAN based methodology. Scientific Reports, 15(1). Scopus. https://doi.org/10.1038/s41598-025-99267-3

Nibi, N. K., Zaman, D., Devidas, A. R., Tiwari, M. K., von Lieres, J., & Vinodini Ramesh, M. V. (2025). Blockchain-IoT and optioneering driven framework for smart water management in emerging urban areas. iScience, 28(12). Scopus. https://doi.org/10.1016/j.isci.2025.113927

Prabanand, S. C., & Thanabal, M. S. (2025). Advanced financial security system using smart contract in private ethereum consortium blockchain with hybrid optimization strategy. Scientific Reports, 15(1). Scopus. https://doi.org/10.1038/s41598-025-89404-3

Pushpa Raj, P. V. R., & S M, V. (2025). Smart contract-based shipment for beverage supply chain 4.0. Journal of Transportation Security, 18(1). Scopus. https://doi.org/10.1007/s12198-025-00306-x

Raju, B., & Krishnamoorthy, G. D. (2025). An elegant intellectual engine towards automation of blockchain smart contract vulnerability detection. Scientific Reports, 15(1). Scopus. https://doi.org/10.1038/s41598-025-08870-x

Subbareddy Ramireddy, N. S., & Kolla, K. B. (2025). Design and Validation of a Blockchain-based Authenticated Key Agreement Protocol for IoT Using AVISPA. International Journal of Intelligent Engineering and Systems, 18(11), 897–912. Scopus. https://doi.org/10.22266/ijies2025.1231.55

Tian, G., Wang, P., Wang, R., & Du, Y. (2025). Smart contract classification based on neural clustering and semantic feature enhancement. Blockchain: Research and Applications, 6(4). Scopus. https://doi.org/10.1016/j.bcra.2025.100303

Wang, H., Liu, J., & Zhao, J. (2025). Blockchain smart contracts for decentralized matching of counterparties and automatic settlement of financial derivatives. Blockchain: Research and Applications, 6(4). Scopus. https://doi.org/10.1016/j.bcra.2025.100300

Wu, F., Ye, A., Diao, Y., Zhang, Y., Chen, J., & Huang, C. (2025). TrustChain: A privacy protection smart contract model with trusted execution environment. Blockchain: Research and Applications, 6(4). Scopus. https://doi.org/10.1016/j.bcra.2025.100296

Zaghloul, A. S., Mohamed, M. A., Amer, H. M., & Shawky, M. A. (2025). Quantum-resilient trust in motion: Smart-contract-driven authentication for next-gen vehicular networks. Computers and Electrical Engineering, 128. Scopus. https://doi.org/10.1016/j.compeleceng.2025.110754

Authors

Farida Akbarina
faridaakbarina@polinema.ac.id (Primary Contact)
Nina Anis
Rashid Rahman
Akbarina, F., Anis, N., & Rahman, R. (2025). Blockchain-Based Smart Contracts in Microfinance: Enhancing Trust and Reducing Transaction Costs in Southeast Asia. Journal Markcount Finance, 3(3), 356–365. https://doi.org/10.70177/jmf.v3i3.3022

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