Smart Contract Applications in Business Agreements
-
DOI:
https://doi.org/10.67228/3071642X/IJCFDE-2025PI2L9YPublished 04-04-2025
Smart Contracts, Blockchain Technology, Business Agreements, Distributed Ledger Technology (DLT), Digital Contracts, Contract Automation, Decentralized Applications (DApps), Ethereum, Hyperledger Fabric, Consensus Mechanisms, Supply Chain Management, Financial Transactions, Legal Technology, Business Process Automation, Digital Transformation Issue
Section
ArticlesHow to Cite
Bose, R. C. (2025). Smart Contract Applications in Business Agreements. International Journal of Commerce, Finance and Digital Economy, 8(1), 01-15. https://doi.org/10.67228/3071642X/IJCFDE-2025PI2L9YAbstract
Digital transformation is revolutionizing business agreement management by replacing traditional contract processes with blockchain-enabled smart contracts. Conventional contracts involve extensive paperwork, manual verification, lengthy negotiations, and multiple intermediaries, leading to increased costs and operational delays. Smart contracts automate contract execution based on predefined conditions, providing enhanced security, transparency, trust, and efficiency through decentralized blockchain technology. Smart contracts are widely adopted across industries such as banking, finance, healthcare, logistics, supply chain management, real estate, and international trade to automate payments, regulatory compliance, ownership transfers, and business transactions. The integration of Artificial Intelligence (AI), Internet of Things (IoT), cloud computing, and big data analytics further improves intelligent decision-making and automated compliance monitoring. This study proposes a comprehensive smart contract framework incorporating blockchain deployment, consensus validation, automated execution, secure transaction recording, continuous monitoring, and performance evaluation. Mathematical models are used to assess execution efficiency, transaction integrity, computational performance, and security reliability, while key performance indicators include execution accuracy, operational efficiency, transaction transparency, processing latency, cost optimization, and compliance effectiveness. The results demonstrate that smart contracts significantly reduce manual intervention, improve transparency and security, accelerate business transactions, and enhance organizational accountability. The proposed framework provides a secure, efficient, and scalable approach for modern business agreement management, supporting enterprise digital transformation and trustworthy blockchain-based ecosystems.
References
[1] M. Alharby and A. van Moorsel, "Blockchain-Based Smart Contracts: A Systematic Mapping Study," IEEE Access, vol. 9, pp. 129321–129343, 2021.
[2] S. Wang, D. Zhang, and Y. Zhang, "Blockchain-Based Smart Contracts for Digital Business Agreements: Opportunities and Challenges," IEEE Access, vol. 9, pp. 148653–148670, 2021.
[3] Q. Lu and X. Xu, "Adaptable Blockchain-Based Systems: A Case Study for Enterprise Smart Contracts," Future Generation Computer Systems, vol. 115, pp. 1–15, 2021.
[4] X. Zheng, R. R. Mukkamala, R. Vatrapu, and J. Ordieres-Meré, "Blockchain-Based Smart Contracts: Applications, Opportunities, and Challenges," IEEE Access, vol. 10, pp. 17890–17912, 2022.
[5] M. Casino, T. K. Dasaklis, and C. Patsakis, "Blockchain-Based Applications in Supply Chain Management: Smart Contract Perspectives," IEEE Transactions on Engineering Management, vol. 69, no. 4, pp. 1258–1272, 2022.
[6] H. T. Vo, M. K. Mohania, and S. Karunasekera, "Enterprise Blockchain Adoption Using Smart Contracts: Current Trends and Future Research," IEEE Access, vol. 10, pp. 94632–94650, 2022.
[7] Z. Li, S. Barenji, and G. Q. Huang, "Blockchain and Smart Contract Applications in Smart Manufacturing," Journal of Manufacturing Systems, vol. 63, pp. 35–48, 2022.
[8] Y. Liu, J. Wu, and L. Xu, "AI-Enabled Smart Contracts for Intelligent Business Automation," IEEE Access, vol. 11, pp. 28645–28661, 2023.
[9] A. Reyna, C. Martín, J. Chen, E. Soler, and M. Díaz, "On Blockchain and Smart Contract Security: Recent Advances and Challenges," IEEE Communications Surveys & Tutorials, vol. 25, no. 2, pp. 1045–1072, 2023.
[10] F. Baiardi, D. Sgandurra, and M. Ceccarelli, "Security Verification Techniques for Blockchain Smart Contracts," IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 5, pp. 3812–3828, 2023.
[11] X. Xu, Q. Lu, Y. Liu, and L. Zhu, "Cross-Chain Interoperability for Enterprise Blockchain Applications," IEEE Access, vol. 12, pp. 12567–12586, 2024.
[12] R. Kumar, P. Singh, and V. Sharma, "Privacy-Preserving Smart Contracts Using Zero-Knowledge Proofs," IEEE Access, vol. 12, pp. 55421–55439, 2024.
[13] S. Nakamoto, A. Patel, and J. Brown, "Blockchain Governance and Compliance Frameworks for Smart Business Agreements," IEEE Transactions on Engineering Management, vol. 71, no. 1, pp. 211–225, 2025.
[14] J. Chen, H. Zhang, and Y. Wang, "Artificial Intelligence Integrated Smart Contracts for Autonomous Enterprise Applications," IEEE Access, vol. 13, pp. 11245–11263, 2025.
Downloads
How to Cite
Bose, R. C. (2025). Smart Contract Applications in Business Agreements. International Journal of Commerce, Finance and Digital Economy, 8(1), 01-15. https://doi.org/10.67228/3071642X/IJCFDE-2025PI2L9Y
Most read articles by the same author(s)
- Raj Chandra Bose, Narendra Karmarkar, Social Commerce Growth Trends in Emerging Markets , International Journal of Commerce, Finance and Digital Economy: Vol. 6 No. 1 (2023)
Similar Articles
- Dr. John Maseko, Impact of Personalized Marketing on Buyer Decision-Making , International Journal of Commerce, Finance and Digital Economy: Vol. 9 No. 1 (2026)
- Alan Bundy, Karen Spärck Jones, Omnichannel Retail Strategies for Competitive Advantage , International Journal of Commerce, Finance and Digital Economy: Vol. 6 No. 2 (2023)
- H. N. Mahabala, AI-Assisted Decision Support Systems for Financial Managers , International Journal of Commerce, Finance and Digital Economy: Vol. 7 No. 1 (2024)
- N. Seshagiri, Anti-Money Laundering (AML) Systems Using AI , International Journal of Commerce, Finance and Digital Economy: Vol. 8 No. 1 (2025)
- Michael Rabin, Amir Pnueli, AI-Enhanced Robo-Advisors for Personal Finance , International Journal of Commerce, Finance and Digital Economy: Vol. 8 No. 2 (2025)
- Seppo Linnainmaa, Arto Salomaa, Digital Inclusion and Its Socioeconomic Effects , International Journal of Commerce, Finance and Digital Economy: Vol. 5 No. 1 (2022)
- Thomas Fischer, Anna Schmidt, Role of Digital Branding in Global Retail Expansion , International Journal of Commerce, Finance and Digital Economy: Vol. 4 No. 2 (2021)
- Niklaus Emil Wirth, Digital Taxation Policies and Global Economic Impact , International Journal of Commerce, Finance and Digital Economy: Vol. 7 No. 2 (2024)
- Dr. Ibrahim Yusuf, Dr. Grace Ndlovu, Data-Driven Decision Making in Digital Enterprises , International Journal of Commerce, Finance and Digital Economy: Vol. 5 No. 1 (2022)
- H. N. Mahabala, AI-Powered Automation in Digital Workforce Management , International Journal of Commerce, Finance and Digital Economy: Vol. 5 No. 1 (2022)
You may also start an advanced similarity search for this article.