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Cyber-physical systems: a bibliometric analysis of literature

Author

Listed:
  • Nitin Singh

    (Indian Institute of Management)

  • Prabin Kumar Panigrahi

    (Indian Institute of Management)

  • Zuopeng Zhang

    (University of North Florida)

  • Sajjad M. Jasimuddin

    (Kedge Business School)

Abstract

Recently, there is a significant growth in the use of the Cyber-Physical System (CPS). New technologies such as Internet of Things (IoT), Industry 4.0, and Analytics have become enablers of CPS implementation. Study of the development and application of CPS in the supply chain context is valuable to operations management and information systems research and practice; especially, a focus on IoT-enabled CPS in production/manufacturing is highly relevant. Knowledge about the research trends of the development and use of CPS for supply chain management supported by new innovations in IT is very limited in the extant literature. The aim of this research is to investigate the research trends of applying CPS in manufacturing. The study encompasses a scientometric analysis of research on deploying the CPS in production systems. Based on a systematic selection process, we collect a total of 245 articles from the Web of Science (WoS) database as the sample for analysis. Using appropriate software, we conduct bibliometric analyses of the sample articles that include citation, cocitation analysis, centrality co-occurrence analysis, and co-authorship analysis. From the bibliometric analysis, we discover major themes of CPS in manufacturing and their evolutions in the extant literature.

Suggested Citation

  • Nitin Singh & Prabin Kumar Panigrahi & Zuopeng Zhang & Sajjad M. Jasimuddin, 2025. "Cyber-physical systems: a bibliometric analysis of literature," Journal of Intelligent Manufacturing, Springer, vol. 36(4), pages 2335-2371, April.
  • Handle: RePEc:spr:joinma:v:36:y:2025:i:4:d:10.1007_s10845-024-02380-9
    DOI: 10.1007/s10845-024-02380-9
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    References listed on IDEAS

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    1. Shiyong Wang & Jiafu Wan & Di Li & Chunhua Zhang, 2016. "Implementing Smart Factory of Industrie 4.0: An Outlook," International Journal of Distributed Sensor Networks, , vol. 12(1), pages 3159805-315, January.
    2. Yongxin Liao & Fernando Deschamps & Eduardo de Freitas Rocha Loures & Luiz Felipe Pierin Ramos, 2017. "Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3609-3629, June.
    3. Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
    4. Yuehua Zhao & Rongying Zhao, 2016. "An evolutionary analysis of collaboration networks in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 759-772, May.
    5. Judit Nagy & Judit Oláh & Edina Erdei & Domicián Máté & József Popp, 2018. "The Role and Impact of Industry 4.0 and the Internet of Things on the Business Strategy of the Value Chain—The Case of Hungary," Sustainability, MDPI, vol. 10(10), pages 1-25, September.
    6. Jordi Ardanuy, 2013. "Sixty years of citation analysis studies in the humanities (1951–2010)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(8), pages 1751-1755, August.
    7. Jordi Ardanuy, 2013. "Sixty years of citation analysis studies in the humanities (1951–2010)," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(8), pages 1751-1755, August.
    8. Mihai Andronie & George Lăzăroiu & Roxana Ștefănescu & Cristian Uță & Irina Dijmărescu, 2021. "Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review," Sustainability, MDPI, vol. 13(10), pages 1-23, May.
    9. Robert Dalpé, 2002. "Bibliometric analysis of biotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 189-213, August.
    10. Inéz Labucay, 2022. "Is There a Smart Sustainability Transition in Manufacturing? Tracking Externalities in Machine Tools over Three Decades," Sustainability, MDPI, vol. 14(2), pages 1-28, January.
    11. Andrea Landherr & Bettina Friedl & Julia Heidemann, 2010. "A Critical Review of Centrality Measures in Social Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(6), pages 371-385, December.
    12. Wen-Yau Cathy Lin, 2012. "Research status and characteristics of library and information science in Taiwan: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 7-21, July.
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