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Applications and development of artificial intelligence system from the perspective of system science: A bibliometric review

Author

Listed:
  • Hong Jiang
  • Jinlong Gai
  • Shukuan Zhao
  • Peggy E. Chaudhry
  • Sohail S. Chaudhry
Abstract
With the rapid development of big data, 6G, Internet of Things (IoT) and other information and communication technologies (ICTs), artificial intelligence (AI) has ushered in new opportunities for more advancements. AI systems are changing the survival and development of human society. This study focuses on the research and application of AI systems within the scientific framework of systems thinking. From scientometrics, this study adopts cocitation analysis and keywords co‐occurrence analysis to sort existing applications of AI system to research network and research overview while giving the current research hotspots of AI system application research. Concurrently, the development trend and direction of AI systems are analysed, and the opportunities and challenges faced are put forward, which lays a foundation for system research in the field of AI systems.

Suggested Citation

  • Hong Jiang & Jinlong Gai & Shukuan Zhao & Peggy E. Chaudhry & Sohail S. Chaudhry, 2022. "Applications and development of artificial intelligence system from the perspective of system science: A bibliometric review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 361-378, May.
  • Handle: RePEc:bla:srbeha:v:39:y:2022:i:3:p:361-378
    DOI: 10.1002/sres.2865
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    References listed on IDEAS

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    1. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    2. Grzegorz Mazurek & Karolina Małagocka, 2019. "Perception of privacy and data protection in the context of the development of artificial intelligence," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(4), pages 344-364, October.
    3. Ruixi Yuan & Zhu Li & Xiaohong Guan & Li Xu, 2010. "An SVM-based machine learning method for accurate internet traffic classification," Information Systems Frontiers, Springer, vol. 12(2), pages 149-156, April.
    4. Feng, Feng & Zhang, Leiyong & Du, Yuneng & Wang, Weiguang, 2015. "Visualization and quantitative study in bibliographic databases: A case in the field of university–industry cooperation," Journal of Informetrics, Elsevier, vol. 9(1), pages 118-134.
    5. Chen, Kaihua & Guan, Jiancheng, 2011. "A bibliometric investigation of research performance in emerging nanobiopharmaceuticals," Journal of Informetrics, Elsevier, vol. 5(2), pages 233-247.
    6. Dashi Nazarov & Anton Klarin, 2020. "Taxonomy of Industry 4.0 research: Mapping scholarship and industry insights," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 535-556, July.
    7. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    8. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    9. K. S. Law & Fu-Lai Chung, 2020. "Knowledge-driven decision analytics for commercial banking," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(2), pages 209-230, April.
    10. Kenneth Tung, 2019. "AI, the internet of legal things, and lawyers," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(4), pages 390-403, October.
    11. Kuo Chi-Hsien & Shinya Nagasawa, 2019. "Applying machine learning to market analysis: Knowing your luxury consumer," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(4), pages 404-419, October.
    12. Jun Wang & Changfeng Ge & Dong Sun Lee & Michael A. Sek & Vanee Chonhenchob, 2013. "Mathematical Problems in Packaging Engineering," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-2, November.
    13. A. Kullaya Swamy & B. Sarojamma, 2020. "Bank transaction data modeling by optimized hybrid machine learning merged with ARIMA," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(4), pages 624-648, October.
    14. Binaya Kumar Panigrahi & Tushar Kumar Nath & Manas Ranjan Senapati, 2019. "An application of local linear radial basis function neural network for flood prediction," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(1), pages 67-87, January.
    15. Jinfeng Li & Kanliang Wang & Lida Xu, 2009. "Chameleon based on clustering feature tree and its application in customer segmentation," Annals of Operations Research, Springer, vol. 168(1), pages 225-245, April.
    16. Christian Hoyer & Indra Gunawan & Carmen Haule Reaiche, 2020. "The Implementation of Industry 4.0 – A Systematic Literature Review of the Key Factors," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 557-578, July.
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    Cited by:

    1. Li Da Xu, 2022. "Systems research on artificial intelligence," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 359-360, May.

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