Blockchain-Based Models for Credit and Loan System Automation in Financial Institutions
  • Author(s): Ayodeji Ajuwon ; Omoniyi Onifade ; Tolulope Joyce Oladuji ; Abiola Oyeronke Akintobi
  • Paper ID: 1708932
  • Page: 364-381
  • Published Date: 30-04-2020
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 3 Issue 10 April-2020
Abstract

Blockchain technology is rapidly transforming financial services by enabling decentralized, transparent, and secure transaction frameworks. In credit and loan systems, traditional processes often suffer from inefficiencies such as lengthy approval times, high operational costs, susceptibility to fraud, and limited transparency. Blockchain-based models offer a promising solution by automating key aspects of credit evaluation, loan origination, disbursement, and repayment through smart contracts and distributed ledger technology. This review explores the application of blockchain to automate credit and loan systems within financial institutions, highlighting its potential to streamline workflows, enhance security, and improve accessibility. The use of smart contracts enables predefined rules and conditions to execute automatically without the need for intermediaries, reducing manual errors and processing delays. Blockchain’s immutable ledger ensures transparent and auditable records, minimizing risks related to fraud and manipulation. Additionally, tokenization of assets and loans allows for greater liquidity and flexibility in credit markets. Integration challenges with existing financial infrastructure and regulatory frameworks are also discussed, emphasizing the need for hybrid solutions and legal clarity. Case studies of blockchain adoption in financial institutions illustrate improvements in operational efficiency, cost reduction, and customer experience. However, challenges remain, including scalability issues, regulatory compliance, and user acceptance. Emerging trends such as Layer 2 scaling solutions and combining blockchain with artificial intelligence for enhanced credit risk assessment present opportunities for further innovation. This review concludes that blockchain-based models hold significant promise for revolutionizing credit and loan system automation by fostering transparency, speed, and inclusivity. It calls for collaborative efforts among financial institutions, regulators, and technology developers to address existing challenges and develop scalable, compliant solutions. By leveraging blockchain’s unique capabilities, financial institutions can create more efficient, secure, and accessible credit ecosystems that better serve the evolving needs of global markets.

Keywords

Blockchain-based, Models, Credit, Loan system, Automation, Financial institutions

Citations

IRE Journals:
Ayodeji Ajuwon , Omoniyi Onifade , Tolulope Joyce Oladuji , Abiola Oyeronke Akintobi "Blockchain-Based Models for Credit and Loan System Automation in Financial Institutions" Iconic Research And Engineering Journals Volume 3 Issue 10 2020 Page 364-381

IEEE:
Ayodeji Ajuwon , Omoniyi Onifade , Tolulope Joyce Oladuji , Abiola Oyeronke Akintobi "Blockchain-Based Models for Credit and Loan System Automation in Financial Institutions" Iconic Research And Engineering Journals, 3(10)