IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v14y2023i1d10.1007_s13198-023-01862-y.html
   My bibliography  Save this article

Semantic analysis of blockchain intelligence with proposed agenda for future issues

Author

Listed:
  • Rashi Saxena

    (Koneru Lakshmaiah Education Foundation)

  • E. Gayathri

    (Koneru Lakshmaiah Education Foundation)

  • Lalitha Surya Kumari

    (Koneru Lakshmaiah Education Foundation)

Abstract

Integrating blockchain technology with artificial intelligence (AI) i.e., blockchain Intelligence makes an extremely powerful tool that solves many multidimensional problems in several domains. Blockchain technology has the potential to provide links to shared data, transactions, and records in a decentralized, safe, and reliable manner, including the information and decision-making capability of AI which makes machines similar as capable as humans. This study is intended to present an updated systematic review of the integration of Blockchain and AI in various application areas. We have studied and summarized more than 100 research papers to present an updated version of the review. We also discuss the future of Blockchain technologies with AI. By integrating these two technologies results increases the security, efficiency, and productivity of the applications. Past works feature a few possible advantages of integration of Blockchain and AI, yet just give a restricted hypothetical system to depict forthcoming certifiable combination instances of the two advances. We survey and orchestrate surviving exploration on the integration of AI and Blockchain are other ways around to thoroughly build up a future research plan on the fusion of the two innovations. We also proposed an agenda to develop a secure system of cyber threat intelligence information exchange by using features of blockchain and artificial intelligence. This paper mainly focusses on explaining how collaboration of blockchain and AI gives immense boost in latest domains like Cybersecurity, Healthcare, Supply Chain Management, Finance and Banking and Social Media Analytics.

Suggested Citation

  • Rashi Saxena & E. Gayathri & Lalitha Surya Kumari, 2023. "Semantic analysis of blockchain intelligence with proposed agenda for future issues," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 34-54, March.
  • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-023-01862-y
    DOI: 10.1007/s13198-023-01862-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-023-01862-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-023-01862-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anjee Gorkhali & Ling Li & Asim Shrestha, 2020. "Blockchain: a literature review," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(3), pages 321-343, July.
    2. Choi, Tsan-Ming & Guo, Shu & Luo, Suyuan, 2020. "When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    3. Amitabh Bhargava & Deepshikha Bhargava & P. Naveen Kumar & Guna Sekhar Sajja & Samrat Ray, 2022. "Industrial IoT and AI implementation in vehicular logistics and supply chain management for vehicle mediated transportation systems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 673-680, March.
    4. Di Vaio, Assunta & Varriale, Luisa, 2020. "Blockchain technology in supply chain management for sustainable performance: Evidence from the airport industry," International Journal of Information Management, Elsevier, vol. 52(C).
    5. M. Ragavan & K. Prabu, 2022. "Evaluation of cryptographic key generation performance using evolutionary algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 481-487, March.
    6. Konstantinos Sgantzos & Ian Grigg, 2019. "Artificial Intelligence Implementations on the Blockchain. Use Cases and Future Applications," Future Internet, MDPI, vol. 11(8), pages 1-15, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhou, Yu & Gao, Xiang & Luo, Suyuan & Xiong, Yu & Ye, Niangyue, 2022. "Anti-Counterfeiting in a retail Platform: A Game-Theoretic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    2. Sujata Seshadrinathan & Shalini Chandra, 2025. "Trusting the trustless blockchain for its adoption in accounting: theorizing the mediating role of technology-organization-environment framework," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-39, December.
    3. Broccardo, Laura & Zicari, Adrián & Jabeen, Fauzia & Bhatti, Zeeshan A., 2023. "How digitalization supports a sustainable business model: A literature review," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    4. Yu, Yugang & Luo, Yifei & Shi, Ye, 2022. "Adoption of blockchain technology in a two-stage supply chain: Spillover effect on workforce," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    5. Gupta, Shivam & Modgil, Sachin & Choi, Tsan-Ming & Kumar, Ajay & Antony, Jiju, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," International Journal of Production Economics, Elsevier, vol. 261(C).
    6. Ihab K. A. Hamdan & Wulamu Aziguli & Dezheng Zhang & Eli Sumarliah, 2023. "Machine learning in supply chain: prediction of real-time e-order arrivals using ANFIS," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 549-568, March.
    7. Zhu, Qingyun & Bai, Chunguang & Sarkis, Joseph, 2022. "Blockchain technology and supply chains: The paradox of the atheoretical research discourse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    8. Kelly Gerakoudi-Ventouri, 2022. "Review of studies of blockchain technology effects on the shipping industry," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-18, December.
    9. Dutta, Pankaj & Choi, Tsan-Ming & Somani, Surabhi & Butala, Richa, 2020. "Blockchain technology in supply chain operations: Applications, challenges and research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    10. Vhatkar, Manjunath S. & Raut, Rakesh D. & Gokhale, Ravindra & Kumar, Mukesh & Akarte, Milind & Ghoshal, Sudishna, 2024. "Leveraging digital technology in retailing business: Unboxing synergy between omnichannel retail adoption and sustainable retail performance," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    11. Tsolakis, Naoum & Niedenzu, Denis & Simonetto, Melissa & Dora, Manoj & Kumar, Mukesh, 2021. "Supply network design to address United Nations Sustainable Development Goals: A case study of blockchain implementation in Thai fish industry," Journal of Business Research, Elsevier, vol. 131(C), pages 495-519.
    12. Mangla, Sachin Kumar & Kazancoglu, Yigit & Ekinci, Esra & Liu, Mengqi & Özbiltekin, Melisa & Sezer, Muruvvet Deniz, 2021. "Using system dynamics to analyze the societal impacts of blockchain technology in milk supply chainsrefer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    13. Rameez Asif & Syed Raheel Hassan & Gerard Parr, 2023. "Integrating a Blockchain-Based Governance Framework for Responsible AI," Future Internet, MDPI, vol. 15(3), pages 1-21, February.
    14. Yang, Wenjuan & Zhang, Jiantong & Yan, Hong, 2022. "Promotions of online reviews from a channel perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    15. Vincent Charles & Ali Emrouznejad & Tatiana Gherman, 2023. "A critical analysis of the integration of blockchain and artificial intelligence for supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 7-47, August.
    16. Sachin S. Kamble & Angappa Gunasekaran & Nachiappan Subramanian & Abhijeet Ghadge & Amine Belhadi & Mani Venkatesh, 2023. "Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: evidence from the automotive industry," Annals of Operations Research, Springer, vol. 327(1), pages 575-600, August.
    17. Li, Feng & Du, Timon C. & Wei, Ying, 2023. "This is what’s in store for you: How online social learning affects product positioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    18. Xue Han & Pratibha Rani, 2022. "RETRACTED ARTICLE: Evaluate the barriers of blockchain technology adoption in sustainable supply chain management in the manufacturing sector using a novel Pythagorean fuzzy-CRITIC-CoCoSo approach," Operations Management Research, Springer, vol. 15(3), pages 725-742, December.
    19. Niu, Baozhuang & Mu, Zihao & Cao, Bin & Gao, Jie, 2021. "Should multinational firms implement blockchain to provide quality verification?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    20. Soumya Choudhury & Parvathi Jayaprakash & S. Srinivas & S. Sowmya & Tarun Shah & R. Abinaya, 2023. "A blockchain platform for the truck freight marketplace in India," Operations Management Research, Springer, vol. 16(2), pages 684-704, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-023-01862-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.