Integration of Blockchain and AI: Exploring Application in the Digital Business

Teo Rong Xuan *

School of Economics and Management, Tsinghua University, Beijing 100084, China.

Stephanie Ness

Diplomatische Akademie, Austria.

*Author to whom correspondence should be addressed.


Artificial intelligence (AI) and blockchain are two disruptive technologies that have emerged from the Fourth Industrial Revolution (IR4.0) and have brought about significant transformations in the industry. The convergence of artificial intelligence (AI) with blockchain technology presents significant opportunities for the development of novel business models facilitated by digitalization. The current body of research pertaining to the integration of artificial intelligence (AI) with blockchain technology is available, although there is a lack of comprehensive understanding of the practicality and effectiveness of this integration within the business context. In order to bridge this existing knowledge gap, the primary objective of this research endeavor is to comprehensively analyze and delineate the various applications and advantages of integrated artificial intelligence (AI) and blockchain platforms within diverse sectors of the business industry.

Keywords: Artificial intelligence, blockchain, IoT, business innovation, integration

How to Cite

Xuan, T. R., & Ness, S. (2023). Integration of Blockchain and AI: Exploring Application in the Digital Business. Journal of Engineering Research and Reports, 25(8), 20–39.


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Afanasyev V, et al. Advanced information technology for development of electric power market. The International Journal of Advanced Manufacturing Technology. 2022;118(1-2):119-127.

Akter S, et al. Transforming business using digital innovations: The application of AI, blockchain, cloud and data analytics. Annals of Operations Research. 2022;1-33.

Haenlein M, Kaplan A, A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review. 2019;61(4):5-14.

Reyes PM, Visich JK, Jaska P. Managing the dynamics of new technologies in the global supply chain. IEEE Engineering Management Review. 2020;48(1):156- 162.

Min H. Artificial intelligence in supply chain management: theory and applications. International Journal of Logistics: Research and Applications. 2010;13(1):13-39.

Kamble S, Gunasekaran A, Arha H. Understanding the blockchain technology adoption in supply chains-Indian context. International Journal of Production Research. 2019;7(7):2009-2033.

Sadiku MNO. Artificial intelligence. IEEE Potent. 1989;35–39.

Artificial intelligence. Commun. ACM. 2017;60(2):10–11.

4 Agriculture technology projects to transform the industry,


Jiang F, et al. Artificial intelligence in healthcare: Past, present ad future. Stroke Vasc. Neurol; 2017.

Utermohlen K. 4 Applications of artificial intelligence in the food industry; 2019.


Machine learning and artificial intelligence in the food industry; 2019.


How artificial intelligence is revolutionizing the food and beverage industry; 2020.


Applications of artificial intelligence (AI) in the food industry; 2011.


Adoption of artificial intelligence in agriculture. Bull. UASVM Agricult. 2011;68(1):284–293.

Business applications for artificial intelligence: an update for 2020; 2019.


Marr B. 10 Business functions that are ready to use artificial intelligence; 2020.


Regulating Artificial Intelligence; 2020: Springer.

Chowdhary KR. Fundamentals of Artificial Intelligence. 2020: Springer.

Handelman GS. eDoctor: Machine learning and the future of medicine. J. Intern. Med. 2018; 284.

Iqbal J, Khan ZH, Khalid A. Prospects of robotics in food industry. Food Sci. Technol. 2017;37.

Jha K. A comprehensive review on automation in agriculture using artificial intelligence. Artific. Intell. Agricult., 2019. 2.

Lee J. Industrial artificial intelligence for Industry 4.0-based manufacturing systems. Manufact. Lett. 2018;18.

Leung MKK. Machine learning in genomic medicine: A review of computational problems and data set. Proc. IEEE. 2016;104.

Mintz Y, Brodie R, Introduction to artificial intelligence in medicine. Minim. Invasive Ther. Allied Technol. 2019;28.

Nawrocki T. Artificial intelligence and radiology: Have rumors of the radiologist’s demise been greatly exaggerated? Acad. Radiol. 2018;25.

Sadiku MNO, Ashaolu TJ, Musa SM. Emerging technologies in agriculture. Int. J. Scient. Adv. 2020;1.

Wamba-Taguimdje S.-L, et al. Influence of artificial intelligence (AI) on firm performance: The business value of AI-based transformation projects. Business Process Management Journal. 2020;26(7):1893-1924.

Mishra AN, Pani AK. Business value appropriation roadmap for artificial intelligence. VINE Journal of Information and Knowledge Management Systems. 2021;51(3):353-368.

Felzmann H, et al. Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns. Big Data & Society. 2019;6(1): 2053951719860542.

Finch G, Goehring B, Marshall A, The enticing promise of cognitive computing: High-value functional efficiencies and innovative enterprise capabilities. Strategy & Leadership. 2017; 45(6):26-33.

Galloway C, Swiatek L. Public relations and artificial intelligence: It’s not (just) about robots. Public relations review. 2018;44(5):734-740.

Gamage HTM, Weerasinghe HD, Dias NGJ. “A survey on blockchain technology concepts, applications, and issues. SN Comput. Sci. 1; 2020. Available:

Parizi RM, Dehghantanha A, Choo KKR, Singh A. Empirical vulnerability analysis of automated smart contracts security testing on blockchains, in Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering. 2018;103–113.

Juels A, Kosba A, Shi E, The ring of gyges: Investigating the future of criminal smart contracts, in Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security (ACM, New York, USA, 2016). 2016;283–295.

Nakamoto S, Bitcoin: A peer-to-peer electronic cash system; 2018.

Available: Accessed 13 Apr 2022.

Bheemaiah K. Block chain 2.0: The renaissance of money.

Available: Accessed 07 June 2021.

Wagner A. Ensuring network scalibility: How to fight blockchain bloat; 2014.

Available: Accessed 29 May 2021.

Tran S. IBM and Oracle collaborate on interoperability work for their blockchains to communicate with each other; 2020.

Available: Accessed 31 Aug 2021.

Sasson EB, Chiesa A, Garman C, Green M, Miers I, Tromer E, Virza M. Zerocash: Decentralized anonymous payments from Bitcoin, in Proceedings of the IEEE Symposium on Security and Privacy (IEEE, Berkeley, USA). 2014;459–474.

Sidhu J. Syscoin: A peer-to-peer electronic cash system with blockchain based services for e-business, in Proceedings of the 26th International Conference on Computer Communication and Networks (ICCCN) IEEE, Vancouver, Canada. 2017;1–6.

Huh S, Cho S, Kim S. Managing IoT devices using blockchain platform, in Proceedings of the 19th international conference on advanced communication technology (ICACT) (IEEE, Bongpyeong, South Korea). 2017;464–467.

Dorri A, Kanhere SS, Jurdak R, Gauravaram P. LSB: A lightweight scalable blockchain for IoT security and privacy; 2017. Available:

Beck R. Beyond Bitcoin: The rise of blockchain world. Computer. 2018;51.

Das S. Namasudra S. Multi-authority CP-ABE-based access control model for IoT-enabled healthcare infrastructure. IEEE Trans. Ind. Inf; 2022.

Gad AG, et al. Emerging trends in blockchain technology and applications: A review and outlook. Journal of King Saud University-Computer and Information Sciences; 2022.

Kasgar AK, Agrawal J, Sahu S. New modified 256-bi MD5 algorithm with SHA compression function. Int. J. Comput. Appl. 2012;42.

Ma Y, et al. A survey of blockchain technology on security, privacy, and trust in crowdsourcing services. World Wide Web. 2020;23.

Namasudra S, et al. The revolution of blockchain: State-of-the-art and research challenges. Arch. Comput. Meth. Eng. 2021;28.

Namasudra S, Sharma P. Achieving a decentralized and secure cab sharing system using blockchain technology. IEEE Trans. Intell. Transp. Syst; 2022.

Williams A. IBM to open first blockchain innovation centre in Singapore, to create applications and grow new markets in finance and trade. Co, Singapore: The Straits Times Singapore Press Holdings Ltsdl; 2016.

Zheng Z, et al. Blockchain challenges and opportunities: A survey. Int. J. Web Grid Serv. 2018; 14.

Zhou Q, et al. Solutions to scalability of blockchain: A survey. IEEE Access. 2020;8.

Ethereum whitepaper; 2020.

Available: Accessed 12 June 2021.

Santander; 2018. Available: Accessed 29 Mar 2022.

Afiniti; 2018. What we do. Retrieved February 1, 2020 from

Aleksandrova M. Big data in the banking industry: The main challenges and use cases; 2019. Retrieved January 31, 2020 from

Almorsy M, Grundy J, Müller I. An analysis of the cloud computing security problem; 2016.

Available:arXiv preprint arXiv:1609.01107.

Alphabeta Advisors. Digital innovation: Australia’s $315b opportunity; 2018.

Retrieved February 1, 2020 from

Amazon. At Capital One, enhancing fraud protection with machine learning; 2020.

Retrieved February 08 from

Basilico J, Amatrian X. Netflix recommendations Beyond the 5 starts The Netflix Tech Blog; 2012.

Retrieved February 1, 2020 from

Basilico J, Amatrian X. System Architectures for Personalization and Recommendation. The Netflix tech Blog; 2013.

Retrieved February 1, 2020 from

Batra G, Queirolo A, Santhanam N. Artificial intelligence: The time to act is nowMcKinsey, January; 2018.

Retrieved February 10, 2020 from

Beall A.. Big data in health care: How three organizations are using big data to improve patient care and more? 2020.

Retrieved February 11, 2020 from

Bhushan K, Gupta B. Detecting DDoS attack using software defined network (SDN) in cloud computing environment. Paper presented at the 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN); 2018.

Camilleri MA. The use of data- driven technologies for customer- centric marketing. International Journal of Big Data Management (forthcoming); 2019.

Carpenter J. IBM’s Virginia Rometty tells NU grads: Technology will enhance us; 2015.

Retrieved February 11, 2019 from

Carson B, Romanelli G, Walsh P, Zhumaev A. Blockchain beyond the hype: What is the strategic business value. McKinsey & Company. 2018; 1–13.

Chui M. Artificial intelligence the next digital frontier? McKinsey and Company Global Institute. 2017;47.

Cowen D, Johnston KA, Vuke K. How cloud computing influences business strategy within South African enterprise). IEEE. 2016;272.

Davenport TH. Can we solve AI’s ‘trust problem’? MIT Sloan Management Review, November 02; 2018.

Retrieved January 30, 2020 from

Deep Instinct. How deep learning works; 2018.

Retrieved February 1, 2020 from

Davenport TH, Spanyi A. Digital transformation should start with customers; 2019.

Available: Accessed 31 Jan 2020.

Dixon M. How Netflix used big data and analytics to generate billions; 2019.

Available: Accessed 31 Jan 2020.

Doniz S. Qantas Airways uses Microsoft 365 to better connect airline personnel and people on the move; 2018.

Retrieved February 1, 2020 from

Duff C. Microsoft earnings up as cloud business continues its expansion; 2020.

Retrieved on January 29, 2020 from

Dunphy P, Petitcolas FA. A first look at identity management schemes on the blockchain; 2018.

Available:arXiv preprint arXiv:1801.03294.

Elmes S. Delicious Data: How big data is disrupting the business of food; 2019.

Available: Accessed Jan 31 2020.

Fargo W, ANZ. Distributed ledger technology and opportunities in correspondent banking; 2016.

Retrieved February 1, 2020 from

Forsythe J, Rogan C, Dimkin D, Strain R, Curran J, Odhav V. Australia can see further by standing on the shoulders of giants. Driving digital transformation by adopting ‘Meaningful Use’ legislation. PWC Australia; 2016.

Retereived April 24, 2020, from

Gartner. Blockchain potential and pitfalls; 2019. December, 05.

Retrieved January 30, 2020 from

Gill SS, Tuli S, Xu M, Singh I, Singh KV, Lindsay D, Jain UJIOT. Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges. 2019;100118.

Goodwin T. The battle is for the customer interface; 2015.

Retrieved February 11, 2020 from

Gray K. AI can be a troublesome teammate. Harvard Business Review, July 20; 2017.

Retrieved February 11, 2020 from

Guido P. Three companies that transformed their businesses using cloud computing. IBM BRANDVOICE; 2014.

Retrieved February 1, 2020 from

Hartmann B, King WP, Narayanan S. Digital manufacturing: The revolution will be virtualized; 2015. Retrieved February 1, 2020


Alahakoon D, Nawaratne R, Xu Y, De Silva D, Sivarajah U, Gupta B. Self-building artificial intelligence and machine learning to empower big data analytics in smart cities. Information Systems Frontiers; 2020.


Barbano. Heifer international and IBM work with coffee and cocoa farmers in Honduras to increase access to data and global markets; 2017.


Chen Y, Lu Y, Bulysheva L, Kataev MY. Applications of blockchain in industry 4.0: A review. Information Systems Frontiers; 2022. DOI:10.1007/s10796-022-10248-7.

Daley S. Tastier coffee, hurricane prediction and fighting the opioid crisis: 31 ways blockchain and AI make a powerful pair; 2019. Available:

Fosso Wamba S, Queiroz MM. Responsible artificial intelligence as a secret ingredient for digital health: Bibliometric analysis, insights, and research directions. Information Systems Frontiers; 2021.


Ghaleb TA, da Costa DA, Zou Y. On the popularity of internet of things projects in online communities. Information Systems Frontiers; 2021 Available:

Hsu PF. A deeper look at cloud adoption trajectory and dilemma. Information Systems Frontiers; 2020.


Karafiloski E, Mishev A. Blockchain solutions for big data challenges: A literature review. In IEEE Eurocon 2017-17th International Conference on Smart Technologies. IEEE. 2017;763–768

Kumar V. The integration of AI and Blockchain for Industry 4.0; 2019.

Retrieved from

Kasemsa K. The role of cloud computing in global supply chain. In Enterprise management strategies in the era of cloud computing. IGI Global. 2015;192–219.

Larson K. Data privacy and AI ethics stepped to the fore in 2018; 2019.

Retrieved February 11 from

Li F. The digital transformation of business models in the creative industries: A holistic framework and emerging trends. Technovation; 2018.

Manyika J, Chui M, Lund S, Ramaswamy S. What’s now and next in analytics, AI, and automation. McKinsey Global Institute. 2017;1–12.

Markets, Markets. Artificial Intelligence Market worth $190.61 billion by 2025 with a Growing CAGR of 36.6%, June, 18; 2019

Retrieved January 30, 2020 from

Martin JF. Unlocking success in digital transformations. McKinsey & Company (October); 2017;1–14.

McDonald C. How InterContinental Hotels connects with real-time marketing; 2016.

Retrieved February 1, 2020 from

McGettigan T. Artificial intelligence: Is Watson the real thing? 2016.

Available:SSRN: or

Metz C. Mark Zuckerberg, Elon musk and the feud over killer robots; 2018.

Retrieved February 11, 2019 from

Mills D, Wang K, Malone B, Ravi A, Marquardt J, Chen C, et al. Distributed ledger technology in payments, clearing, and settlement. Finance and Economics DiscussionSeries 2016-095. Washington: Board of Governors of the Federal Reserve System; 2016.


Murphy M. DHL: How a logistics firm evolved to provide ‘software as a service’. Computerworld UK from IDG; 2015.

Retrieved April 27, 2020, from

Narayen S. Key words for digital transformation/interviewer: P. Michelman. @mitsmr; 2018.

NewVantage Partners. Big data and AI Executive Survey; 2019 January 01.

Retrieved January 30, 2020 from

O’Neal T. The future of cloud computing in. 2018 December 21; 2019.

Retrieved from

Orcutt M. Once hailed as unhackable, blockchains are now getting hacked; 2019.

Retrieved February 10 from

Ransbotham S, Kiron D, Reeves M. Shaping business with artificial intelligence. Closing the Gap Between Ambition and Action. MIT Sloan Management Review; 2017.

Retrieved February 1, 2020 from

Re RM, Solow-Niederman A. Developing artificially intelligent justice (May 19, 2019). 22 Stanford Technology Law Review 242 (2019); UCLA School of Law, Public Law Research; 2019 Paper No. 19-16.

Available at SSRN:

Sathi A. Big data analytics: Disruptive technologies for changing the game. Boise. IBM Corporation., ID: MC Press; 2012.

Seth I Kaplan J. Banking on the Cloud. Digital Mckinsey; 2016.

Retrieved February 1, 2020 from

Sklyar V, Kharchenko V. Green assurance case: Applications for Internet of Things. In Green IT engineering: Social, business and industrial applications. Cham: Springer. 2019;351–371.

World Economic Forum. Digital transformation of industries: Automotive industry; 2016.

Retrieved February 1, 2020 from

World Economic Forum. Digital transformation initiative: Professional services industry; 2017a.

Retrieved February 11, 2020 from

World Economic Forum. Digital transformation initiative: Consumer industry; 2017b.

Retrieved February 11, 2020 from

World Economic Forum. Digital transformation initiative: Media industry; 2017c.

Retrieved February 11, 2020 from

Xia T, Zhang W, Chiu WS, Jing C. Using cloud computing integrated architecture to improve delivery committed rate in smart manufacturing. Enterprise Information Systems. (forthcoming). 2020;1–20.

Zheng Z, Xie S, Dai HN, Wang H. Blockchain challenges and opportunities: A survey. Work Pap.; 2016.

Akter S, et al. Analytics-based decision-making for service systems: A qualitative study and agenda for future research. International Journal of Information Management. 2019;48.

Arora M, Chopra AB, Dixit VS. An Approach to secure collaborative recommender system using artificial intelligence, deep learning, and blockchain, in Intelligent communication, control and devices, S. Choudhury, R. Mishra, and A. Kumar, Editors, Springer: Singapore; 2020.

Ashwell ML. The digital transformation of intelligence analysis. Journal of Financial Crime. 2017;24.

Battisti E, et al. Big data and risk management in business processes: Implications for corporate real estate. Business Process Management Journal; 2019.

Benlian A, et al. Special section: The transformative value of cloud computing: a decoupling, platformization, and recombination theoretical framework. Journal of Management Information Systems. 2018;35.

Cao Q, Schniederjans DG, Schniederjans M. Establishing the use of cloud computing in supply chain management. Operations Management Research. 2017;10.

Cohen JSG. Warding off the threat of disruption. MIT Sloan Management Review. 2017;58.

Crosby M, et al. Blockchain technology: Beyond bitcoin. Applied Innovation. 2016;2.

Davenport TH, Ronanki R. Artificial intelligence for the real world. Harvard Business Review. 2018;96.

Dremel C, et al. How AUDI AG established big data analytics in its digital transformation. MIS Quarterly Executive. 2017;16.

Ekramifard A, et al. A systematic literature review of integration of blockchain and artificial intelligence, in Blockchain cybersecurity, trust and privacy, K.K. Choo, A. Dehghantanha, and R. Parizi, Editors, Springer: Cham; 2020.

Grewal D, Hulland J, Kopalle PK. The future of technology and marketing: A multidisciplinary perspective. Journal of the Academy of Marketing Science. 2020;48.

Haggerty E. Healthcare and digital transformation. Network Security. 2017;2017.

Kumar S, Sureka R, Lim WM, Kumar Mangla S, Goyal N. What do we know about business strategy and environmental research? Insights from Business Strategy and the Environment. Business Strategy and the Environment; 2021c.


Lim WM. To what degree is the Fourth Industrial Revolution an opportunity or a threat for the ASEAN community and region. 2019;13(9):105–106.

Lim WM, Kumar S, Ali F. Advancing knowledge through literature reviews: ‘What’, ‘why’, and ‘how to contribute’. The Service Industries Journal; 2022a.


Lim WM, Kumar S, Verma S, Chaturvedi R. Alexa, what do we know about conversational commerce? Insights from a systematic literature review. Psychology & Marketing; 2022b.


Lu Y. Cyber physical system (CPS)-based industry 4.0: A survey. Journal of Industrial Integration and Management. 2017;2(03):1750014.

Siala H, Wang Y. SHIFTing artificial intelligence to be responsible in healthcare: A systematic review. Social Science & Medicine. 2022;114782.

Subic A, Xiang Y, Pai S, Serve EL. Blockchain and Industry 4.0. 2020;1–10.

Zhang C, Chen Y, Chen H, Chong D. Industry 4.0 and its implementation: A review. Information Systems Frontiers; 2021. DOI:10.1007/s10796-021-10153-5.

Abdullah S, et al. School of block–review of blockchain for the radiologists. Academic Radiology. 2020;27.

Agarwal Y, et al. Delivering high-tech, AI-based health care at Apollo hospitals. Global Business and Organizational Excellence. 2020;39.