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Beyond Industry 4.0: Tracing the Path to Industry 5.0 through Bibliometric Analysis

Author

Listed:
  • Alexandra Nicoleta Ciucu-Durnoi

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Camelia Delcea

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Aurelia Stănescu

    (Department of Management, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Cosmin Alexandru Teodorescu

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania)

  • Vanesa Mădălina Vargas

    (Faculty of Business Administration in Foreign Languages, Bucharest University of Economic Studies, 010552 Bucharest, Romania
    Institute for Economic Forecasting, Romanian Academy, 050711 Bucharest, Romania)

Abstract
The rapid advancement of technology has led to significant milestones in industrial progress, surpassing previous capabilities and presenting new challenges for adaptation. The current phase of industrial revolutions is characterized by accelerated technological development, particularly in automation and digitalization. For instance, the global industrial robotics market was valued at approximately USD 43.0 billion in 2022 and is projected to reach USD 70.6 billion by 2028. The integration of human labor alongside robotic machinery, though a tangible reality, may still seem abstract in certain regions. Despite the recent announcement of the fourth industrial revolution, Industry 5.0 has quickly emerged as the new standard toward which industries aspire. This study performs a bibliometric analysis of articles published between 2020 and 2023 that explores the implications of these two industrial revolutions and the transition between them. Using the Clarivate Analytics’ Web of Science Core Collection, the study identifies 154 articles using the Biblioshiny package in R, which simultaneously discuss Industry 4.0 and Industry 5.0 within their titles, abstracts, or keywords. An impressive annual growth rate of 119.47% among the published papers included in the dataset underlines the interest of the research community in this field. Additionally, key findings include the identification of prominent sources, prolific authors, highly cited articles and their content, as well as common research themes explored across the analyzed papers. Among the most relevant sources in terms of the number of publications, the journal Sustainability plays a key role, holding the first position, followed by Applied Sciences , and Sensors . In terms of motor themes, digital transformation, artificial intelligence, the Internet of Things, and smart manufacturing have been found to play a key role. As a result, the present research contributes to understanding the rapid evolution from Industry 4.0 to Industry 5.0, highlighting key trends, influential research, and emerging themes that are shaping the future of industrial advancements.

Suggested Citation

  • Alexandra Nicoleta Ciucu-Durnoi & Camelia Delcea & Aurelia Stănescu & Cosmin Alexandru Teodorescu & Vanesa Mădălina Vargas, 2024. "Beyond Industry 4.0: Tracing the Path to Industry 5.0 through Bibliometric Analysis," Sustainability, MDPI, vol. 16(12), pages 1-26, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:5251-:d:1418770
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    References listed on IDEAS

    as
    1. Chris Turner & John Oyekan, 2023. "Manufacturing in the Age of Human-Centric and Sustainable Industry 5.0: Application to Holonic, Flexible, Reconfigurable and Smart Manufacturing Systems," Sustainability, MDPI, vol. 15(13), pages 1-29, June.
    2. Sindhwani, Rahul & Afridi, Shayan & Kumar, Anil & Banaitis, Audrius & Luthra, Sunil & Singh, Punj Lata, 2022. "Can industry 5.0 revolutionize the wave of resilience and social value creation? A multi-criteria framework to analyze enablers," Technology in Society, Elsevier, vol. 68(C).
    3. Weng Siew Lam & Weng Hoe Lam & Pei Fun Lee, 2023. "A Bibliometric Analysis of Digital Twin in the Supply Chain," Mathematics, MDPI, vol. 11(15), pages 1-24, July.
    4. Andra-Teodora Gorski & Elena-Diana Ranf & Dorel Badea & Elisabeta-Emilia Halmaghi & Hortensia Gorski, 2023. "Education for Sustainability—Some Bibliometric Insights," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    5. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
    6. Bakır, Mahmut & Özdemir, Emircan & Akan, Şahap & Atalık, Özlem, 2022. "A bibliometric analysis of airport service quality," Journal of Air Transport Management, Elsevier, vol. 104(C).
    7. Fang Liu, 2023. "Retrieval strategy and possible explanations for the abnormal growth of research publications: re-evaluating a bibliometric analysis of climate change," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 853-859, January.
    8. Tsan‐Ming Choi & Subodha Kumar & Xiaohang Yue & Hau‐Ling Chan, 2022. "Disruptive Technologies and Operations Management in the Industry 4.0 Era and Beyond," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 9-31, January.
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