SpringerLink
Log in

Blockchain and Artificial Intelligence in a Business Context: A Bibliometric Analysis

  • Conference paper
  • First Online:
Information Systems and Technologies (WorldCIST 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 800))

Included in the following conference series:

Abstract

Speed and changes in the environment arise from the need to apply emerging technologies in business. The characteristics of Artificial Intelligence allowing the development of algorithms implanted in machines capable of imitating human behavior and the advantages of Blockchain technology being a distributed record of information stored in blocks in a decentralized, encrypted, confidential and secure way propel the generation of innovative business in companies. The article examines the relationship between Blockchain and Artificial Intelligence using a Bibliometric Analysis, examining data from 583 articles published between 2018 and October 2022 with the keywords ‘Blockchain‘ and ‘Artificial Intelligence‘ from the Web of Science database. To realize the Bibliometric Analysis, it has executed the VOSviewer program. The work has detected six research trends in the connection between these concepts.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Bernardino, C., Costa, C.J., Aparício, M.: Digital evolution: blockchain field research. In: 2022 17th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6 (2022). https://doi.org/10.23919/CISTI54924.2022.9820035

  2. Warner, K.S.R., Waeger, M.: Building dynamic capabilities for digital transformation: an ongoing process of strategic renewal. Long Range Plan. 52(3), 326–349 (2019). https://doi.org/10.1016/j.lrp.2018.12.001

    Article  Google Scholar 

  3. Dwivedi, Y.K., et al.: Impact of COVID-19 pandemic on information management research and practice: transforming education, work and life. Int. J. Inf. Manage 55, 102211 (2020). https://doi.org/10.1016/j.i**fomgt.2020.102211

    Article  Google Scholar 

  4. Allam, Z., Dhunny, Z.A.: On big data, artificial intelligence and smart cities. Cities 89, 80–91 (2019). https://doi.org/10.1016/j.cities.2019.01.032

    Article  Google Scholar 

  5. Fuller, A., Fan, Z., Day, C., Barlow, C.: Digital twin: enabling technologies, challenges and open research. IEEE Access 8, 108952–108971 (2020). https://doi.org/10.1109/ACCESS.2020.2998358

    Article  Google Scholar 

  6. Qadri, Y.A., Nauman, A., Bin Zikria, Y., Vasilakos, A.V., Kim, S.W.: The future of healthcare internet of things: a survey of emerging technologies. IEEE Commun. Surv. Tutor. 22(2), 1121–1167 (2020). https://doi.org/10.1109/COMST.2020.2973314

    Article  Google Scholar 

  7. Olsen, T.L., Tomlin, B.: Industry 4.0: opportunities and challenges for operations management. M&Som-Manuf. Serv. Oper. Manag. 22(1), 113–122 (2020). https://doi.org/10.1287/msom.2019.0796

  8. Wong, L., Leong, L., Hew, J., Tan, G.W., Ooi, K.: Time to seize the digital evolution: adoption of blockchain in operations and supply chain management among Malaysian SMEs. Int. J. Inf. Manag. 52, 101997 (2020). https://doi.org/10.1016/j.i**fomgt.2019.08.005

    Article  Google Scholar 

  9. Hao, M., Li, H., Luo, X., Xu, G., Yang, H., Liu, S.: Efficient and privacy-enhanced federated learning for industrial artificial intelligence. IEEE Trans. Industr. Inf. 16(10), 6532–6542 (2020). https://doi.org/10.1109/TII.2019.2945367

    Article  Google Scholar 

  10. Tang, C.S., Veelenturf, L.P.: The strategic role of logistics in the industry 4.0 era. Transp. Res E-Log 129, 1–11 (2019). https://doi.org/10.1016/j.tre.2019.06.004

    Article  Google Scholar 

  11. Khan, W.Z., Rehman, M.H., Zangoti, H.M., Afzal, M.K., Armi, N., Salah, K.: Industrial internet of things: recent advances, enabling technologies and open challenges. Comput. Electr. Eng. 81, 106522 (2020). https://doi.org/10.1016/j.compeleceng.2019.106522

    Article  Google Scholar 

  12. Singh, S.K., Rathore, S., Park, J.H.: BlockIoTIntelligence: a blockchain-enabled intelligent IoT architecture with artificial intelligence. Future Gener. Comput. Syst. Int. J. eSci. 110, 721–743 (2020). https://doi.org/10.1016/j.future.2019.09.002

    Article  Google Scholar 

  13. Zhang, K., Zhu, Y., Maharjan, S., Zhang, Y.: Edge intelligence and blockchain empowered 5G beyond for the industrial internet of things. IEEE Netw. 33(5), 12–19 (2019). https://doi.org/10.1109/MNET.001.1800526

    Article  Google Scholar 

  14. De Keyser, A., Koecher, S., Alkire (nee Nasr), L., Verbeeck, C., Kandampully, J.: Frontline service technology infusion: conceptual archetypes and future research directions. J. Serv. Manag. 30(1), 156–183 (2019). https://doi.org/10.1108/JOSM-03-2018-0082

  15. Singh, S., Sharma, P.K., Yoon, B., Shojafar, M., Cho, G.H., Ra, I.: Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city. Sustain. Cities Soc. 63, 102364 (2020). https://doi.org/10.1016/j.scs.2020.102364

    Article  Google Scholar 

  16. Gupta, M., Abdelsalam, M., Khorsandroo, S., Mittal, S.: Security and privacy in smart farming: challenges and opportunities. IEEE Access 8, 34564–34584 (2020). https://doi.org/10.1109/ACCESS.2020.2975142

    Article  Google Scholar 

  17. Ahad, M.A., Paiva, S., Tripathi, G., Feroz, N.: Enabling technologies and sustainable smart cities. Sustain. Cities Soc. 61, 102301 (2020). https://doi.org/10.1016/j.scs.2020.102301

    Article  Google Scholar 

  18. Aceto, G., Persico, V., Pescape, A.: A survey on information and communication technologies for industry 4.0: state-of-the-art, taxonomies, perspectives, and challenges. IEEE Commun. Surv. Tutor. 21(4), 3467–3501 (2019). https://doi.org/10.1109/COMST.2019.2938259

  19. Angelis, J., da Silva, E.R.: Blockchain adoption: a value driver perspective. Bus. Horiz. 62(3), 307–314 (2019). https://doi.org/10.1016/j.bushor.2018.12.001

    Article  Google Scholar 

  20. Liu, Y., Ma, X., Shu, L., Hancke, G.P., Abu-Mahfouz, A.M.: From industry 4.0 to agriculture 4.0: current status, enabling technologies, and research challenges. IEEE Trans. Ind. Inform. 17(6), 4322–4334 (2021). https://doi.org/10.1109/TII.2020.300391

  21. He, W., Zhang, Z., Li, W.: Information technology solutions, challenges, and suggestions for tackling the COVID-19 pandemic. Int. J. Inf. Manag. 57, 102287 (2021). https://doi.org/10.1016/j.i**fomgt.2020.102287

    Article  Google Scholar 

  22. Tange, K., De Donno, M., Fafoutis, X., Dragoni, N.: A systematic survey of industrial internet of things security: requirements and fog computing opportunities. IEEE Commun. Surv. Tutor. 22(4), 2489–2520 (2020). https://doi.org/10.1109/COMST.2020.3011208

    Article  Google Scholar 

  23. Maddikunta, P.K.R., Quoc-Viet, Pham, P., Deepa, N., Dev, K., Gadekallu, T.R., Liyanage, M.: Industry 5.0: a survey on enabling technologies and potential applications. J. Ind. Inf. Integr. 26, 100257 (2022). https://doi.org/10.1016/j.jii.2021.100257

  24. Wamba, S.F., Queiroz, M.M.: Blockchain in the operations and supply chain management: benefits, challenges and future research opportunities. Int. J. Inf. Manag. 52, 102064 (2020). https://doi.org/10.1016/j.i**fomgt.2019.102064

    Article  Google Scholar 

  25. Zupic, I., Cater, T.: Bibliometric methods in management and organization. Organ. Res. Methods 2015(18), 429–472 (2015). https://doi.org/10.1177/1094428114562629

    Article  Google Scholar 

  26. Aparicio, S., Aparicio, J.T., Costa, C.J.: Data science and AI: trends analysis. In: 2019 14th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6 (2019). https://doi.org/10.23919/CISTI.2019.8760820

  27. Van Eck, N.J., Waltman, L.: Software survey: VOSviewer, a computer program for bibliometric map**. Scientometrics 84(2), 523–538 (2010). https://doi.org/10.1007/s11192-009-0146-3

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Business Administration (ADO), Applied Economics II and Fundaments of Economic Analysis, Universidad Rey Juan Carlos, Madrid, Spain

    Soraya González-Mendes, Fernando García-Muiña & Rocío González-Sánchez

Authors
  1. Soraya González-Mendes
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fernando García-Muiña
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rocío González-Sánchez
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Soraya González-Mendes .

Editor information

Editors and Affiliations

  1. ISEG, Universidade de Lisboa, Lisbon, Cávado, Portugal

    Alvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Gintautas Dzemyda

  4. DCT, Universidade Portucalense, Porto, Portugal

    Fernando Moreira

  5. TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy

    Valentina Colla

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

González-Mendes, S., García-Muiña, F., González-Sánchez, R. (2024). Blockchain and Artificial Intelligence in a Business Context: A Bibliometric Analysis. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-031-45645-9_16

Download citation

Publish with us

Policies and ethics

Search

Navigation