A Converged Blockchain and Artificial Intelligence Approach for Strengthening Transparency and Trust in Digital Enterprises
DOI:
https://doi.org/10.34306/ajri.v7i2.1374Keywords:
Blockchain, Artificial Intelligence, Digital Transparency, Digital Governance, Stakeholder TrustAbstract
Digital business ecosystems increasingly rely on advanced technologies to ensure transparency, security, and trust in operational processes. However, traditional centralized systems still struggle with issues such as data manipulation, lack of traceability, and weak auditability, which affect stakeholder confidence and operational efficiency. This study investigates the integration of Blockchain and Artificial Intelligence (AI) as a combined framework to enhance transparency and trust in digital business operations across modern en- terprise environments. A mixed-method approach was employed, combining systematic literature analysis with a case-based evaluation involving three digital service companies implementing blockchain and AI models. Quantitative assessment was conducted using performance metrics such as transaction processing time, data integrity validation, and trust perception index, based on survey responses from 120 stakeholders, system log analysis across three digital service companies, and expert validation involving 15 industry specialists. Findings reveal that integrating blockchain with AI improves operational transparency by 42 percent, reduces data verification time by 35 percent, and increases stakeholder trust levels by 48 percent compared to conventional systems. The model demonstrates improved audit trails, decentralized decision-making, and enhanced anomaly detection accuracy in business data processes. The fusion of blockchain and AI offers a promising technological architecture capable of strengthening digital governance, increasing trust, and supporting secure business transformation. This research provides theoretical and practical implications for enterprises adopting emerging technologies toward sustainable and ethical digital operations, aligning strongly with digital transformation goals and SDG principles.
Downloads
References
[1] N. Rane, S. Choudhary, and J. Rane, “Blockchain and artificial intelligence (ai) integration for revolutionizing security and transparency in finance,” Available at SSRN 4644253, 2023.
[2] D. Martinez, L. Magdalena, and A. N. Savitri, “Ai and blockchain integration: Enhancing security and transparency in financial transactions,” International Transactions on Artificial Intelligence, vol. 3, no. 1, pp. 11–20, 2024.
[3] L. Limajatini, S. Suhendra, G. A. Pangilinan, and M. G. Ilham, “Integration of artificial intelligence in the financial sector innovation, risks and opportunities,” International Journal of Cyber and IT Service Management, vol. 5, no. 1, pp. 58–70, 2025.
[4] R. H. Chowdhury, “The evolution of business operations: unleashing the potential of artificial intelligence, machine learning, and blockchain,” World Journal of Advanced Research and Reviews, vol. 22, no. 3, pp. 2135–2147, 2024.
[5] T. R. Xuan and S. Ness, “Integration of blockchain and ai: exploring application in the digital business,” Journal of Engineering Research and Reports, vol. 25, no. 8, pp. 20–39, 2023.
[6] M. R. Anwar and L. D. Sakti, “Integrating artificial intelligence and environmental science for sustainable urban planning,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 5, no. 2, pp. 179–191, 2024.
[7] M. M. Alzoubi, “Investigating the synergy of blockchain and ai: enhancing security, efficiency, and trans- parency,” Journal of Cyber Security Technology, vol. 9, no. 3, pp. 227–255, 2025.
[8] A. E. Ifedayo, D. Olugbade, and S. Hamid, “Integrating artificial intelligence with blockchain: A literature review on opportunities, challenges, and applications,” Blockchain, Artificial Intelligence, and Future Research, vol. 1, no. 1, pp. 52–69, 2025.
[9] M. Rakhmansyah, M. S. Hadi, S. R. P. Junaedi, F. A. Ramahdan, and S. N. W. Putra, “Integrating blockchain and ai in business operations to enhance transparency and efficiency within decentralized ecosystems,” ADI Journal on Recent Innovation, vol. 6, no. 2, pp. 157–167, 2025.
[10] Z. Wang, M. Li, J. Lu, and X. Cheng, “Business innovation based on artificial intelligence and blockchain technology,” Information Processing & Management, vol. 59, no. 1, p. 102759, 2022.
[11] H. CS, A. Murgai, K. Manju, R. Paranjpye, K. Jain, and M. Hati, “Integrating artificial intelligence with blockchain: A holistic examination of their combined effects on business performance across various sectors.” Library of Progress-Library Science, Information Technology & Computer, vol. 44, no. 3, 2024.
[12] I. P. Gustiah and H. Newell, “Enhancing human resource management efficiency through scalable blockchain networks with an adaptive ai approach,” Startupreneur Business Digital (SABDA Journal), vol. 4, no. 2, pp. 114–123, 2025.
[13] A. Aakula, C. Zhang, and T. Ahmad, “Leveraging ai and blockchain for strategic advantage in digital transformation,” Journal of Artificial Intelligence Research, vol. 4, no. 1, pp. 356–95, 2024.
[14] R. H. Chowdhury, “Blockchain and ai: Driving the future of data security and business intelligence,” World Journal of Advanced Research and Reviews, vol. 23, no. 1, pp. 2559–2570, 2024.
[15] C. Lukita, A. W. A. Rahman, I. N. Hikam, and U. Rahardja, “Integrating strategic management with sdg 10 for sustainable development and equity,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 2, pp. 638–649, 2025.
[16] M. O. Joel, U. B. Chibunna, and A. I. Daraojimba, “Artificial intelligence, cyber security and block chain for business intelligence,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 5, no. 1, pp. 1383–1387, 2024.
[17] M. Paramesha, N. Rane, and J. Rane, “Big data analytics, artificial intelligence, machine learning, internet of things, and blockchain for enhanced business intelligence,” Artificial Intelligence, Machine Learning, Internet of Things, and Blockchain for Enhanced Business Intelligence (June 6, 2024), 2024.
[18] R. Wahdiniwaty, S. Pranata, and N. Komara, “Entrepreneurial technology resilience mediates entrepreneurial marketing on business performance in batik msmes,” Aptisi Transactions on Technopreneur- ship (ATT), vol. 7, no. 3, pp. 835–847, 2025.
[19] V. Charles, A. Emrouznejad, and T. Gherman, “A critical analysis of the integration of blockchain and artificial intelligence for supply chain,” Annals of Operations Research, vol. 327, no. 1, pp. 7–47, 2023.
[20] O. I. Oriekhoe, O. P. Oyeyemi, B. G. Bello, G. B. Omotoye, A. I. Daraojimba, and A. Adefemi, “Blockchain in supply chain management: A review of efficiency, transparency, and innovation,” In- ternational Journal of Science and Research Archive, vol. 11, no. 1, pp. 173–181, 2024.
[21] D. Bhumichai, C. Smiliotopoulos, R. Benton, G. Kambourakis, and D. Damopoulos, “The convergence of artificial intelligence and blockchain: The state of play and the road ahead,” Information, vol. 15, no. 5, p. 268, 2024.
[22] A. Maariz, M. A. Wiputra, and M. R. D. Armanto, “Blockchain technology: Revolutionizing data integrity and security in digital environments,” International Transactions on Education Technology (ITEE), vol. 2, no. 2, pp. 92–98, 2024.
[23] O. A. Farayola, “Revolutionizing banking security: integrating artificial intelligence, blockchain, and business intelligence for enhanced cybersecurity,” Finance & Accounting Research Journal, vol. 6, no. 4, pp. 501–514, 2024.
[24] S. Ahmed, “Enhancing data security and transparency: The role of blockchain in decentralized systems,” International Journal of Advanced Engineering, Management and Science, vol. 11, no. 1, p. 593258, 2025.
[25] H. E. Riwayati, H. A. Rachman, S. Pramesworo, N. Yustisia, H. Umar, and M. Siahaan, “Unveiling the dynamics of financial literacy and inclusion in women digital loan decision making,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 3, pp. 986–998, 2025.
[26] T. T. Adewale, T. D. Olorunyomi, and T. N. Odonkor, “Blockchain-enhanced financial transparency: A conceptual approach to reporting and compliance,” International Journal of Frontiers in Science and Technology Research, vol. 2, no. 1, pp. 024–045, 2022.
[27] A. Garg, “Unified framework of blockchain and ai for business intelligence in modern banking,” International Journal of Emerging Research in Engineering and Technology, vol. 3, no. 4, pp. 32–42, 2022.
[28] T. Ogunyankinnu, E. F. Onotole, A. A. Osunkanmibi, Y. Adeoye, G. Aipoh, and J. Egbemhenghe, “Blockchain and ai synergies for effective supply chain management,” 2022.
[29] N. Lutfiani, N. Fauziyah, F. P. Oganda, R. Setyaningrum, E. A. Natalia et al., “The role of globalization in indonesian evolution influence on media digital literacy language ai,” International Transactions on Artificial Intelligence, vol. 3, no. 2, pp. 192–200, 2025.
[30] H.-Y. Chen, K. Sharma, C. Sharma, and S. Sharma, “Integrating explainable artificial intelligence and blockchain to smart agriculture: Research prospects for decision making and improved security,” Smart agricultural technology, vol. 6, p. 100350, 2023.
[31] S. A. R. Khan, A. A. Sheikh, I. R. A. Shamsi, and Z. Yu, “The implications of artificial intelligence for small and medium-sized enterprises’ sustainable development in the areas of blockchain technology, supply chain resilience, and closed-loop supply chains,” Sustainability, vol. 17, no. 1, p. 334, 2025.
[32] C. Lukita, S. Wulandari, S. M. Wahid, and T. Widiyatmoko, “The impact of blockchain on business and economics: Analysis of theory and implementation,” Blockchain Frontier Technology, vol. 4, no. 1, pp. 58–62, 2024.
[33] L. Meria, N. Lutfiani, R. A. Te Awhina et al., “The influence of e-commerce and digital marketing on startupreneur performance using pls-sem,” Journal of Computer Science and Technology Application, vol. 2, no. 1, pp. 93–100, 2025.
[34] H. Taherdoost, “Blockchain technology and artificial intelligence together: a critical review on applica- tions,” Applied Sciences, vol. 12, no. 24, p. 12948, 2022.
[35] S. Aruna, S. M. Priya, K. Reshmeetha, E. S. Sudhayini, and A. A. Narayanan, “Blockchain integration with artificial intelligence and internet of things technologies,” in 2023 7th International conference on intelligent computing and control systems (ICICCS). IEEE, 2023, pp. 688–694.
[36] D. Novitasari, F. S. Goestjahjanti, U. Rahardja, S. Santoso, S. V. Sihotang, N. A. Santoso, and G. P. Cesna, “Optimizing msme performance through marketing capabilities and digital marketing adoption,” in 2025 4th International Conference on Creative Communication and Innovative Technology (ICCIT). IEEE, 2025, pp. 1–7.
[37] A. Alenizi, S. Mishra, and A. Baihan, “Enhancing secure financial transactions through the synergy of blockchain and artificial intelligence,” Ain Shams Engineering Journal, vol. 15, no. 6, p. 102733, 2024.
[38] A. K. Tyagi and S. Tiwari, “The future of artificial intelligence in blockchain applications,” in Machine learning algorithms using scikit and tensorflow environments. IGI Global Scientific Publishing, 2024, pp. 346–373.
[39] M. Hardini, H. Hetilaniar, S. E. E. Girsang, S. N. W. Putra, and I. N. Hikam, “Advancing higher education: Longitudinal study on ai integration and its impact on learning,” International Journal of Cyber and IT Service Management, vol. 5, no. 1, pp. 23–30, 2025.
[40] S. Asaithambi, L. Ravi, M. Devarajan, A. S. Almazyad, G. Xiong, and A. W. Mohamed, “Enhancing enterprises trust mechanism through integrating blockchain technology into e-commerce platform for smes,” Egyptian Informatics Journal, vol. 25, p. 100444, 2024.
[41] I. Ahmed, Y. Zhang, G. Jeon, W. Lin, M. R. Khosravi, and L. Qi, “A blockchain-and artificial intelligence- enabled smart iot framework for sustainable city,” International Journal of Intelligent Systems, vol. 37, no. 9, pp. 6493–6507, 2022.
[42] The White House, “Strengthening american leadership in digital financial technology,” Executive Office of the President of the United States, Executive Order Report, 2025, accessed: 2026-02-03. [Online]. Available: https://www.whitehouse.gov/wp-content/uploads/2025/07/digital-Assets-Report-EO14178. pdf
[43] P. H. P. Tan, S. Wijaya, U. Rahardja, B. N. Henry, and A. Anjani, “Modeling the impact of digital literacy on ai based learning adoption through perceived usefulness and easeof use,” Sundara Advanced Research on Artificial Intelligence, vol. 1, no. 2, pp. 56–64, 2025.
[44] R. Rajaguru, “Effects of contemporary technologies, such as blockchain and artificial intelligence (ai) in enhancing consumers’ trustworthiness of online reviews,” Journal of Hospitality Marketing & Management, vol. 33, no. 2, pp. 251–259, 2024.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Leoni Novianti, Nur Azizah, Mardiana, Carlos Perez

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.











