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Mapping Global Research on Industry 5.0 and Artificial Intelligence: A Bibliometric Review with VOSViewer

Yıl 2025, Cilt: 6 Sayı: Global Academic Perspective in Social Sciences, 105 - 124, 28.10.2025

Öz

The rise of Industry 5.0 signifies the move toward more human-centered, sustainable, and collaborative industrial processes. This new phase of industrial transformation has beyond Industry 4.0 and broad applications across multiple sectors. Artificial intelligence plays a central role in this transformation, enabling smarter decision making and personalized solutions. The aim of this study is to examine the publications on both artificial intelligence and Industry 5.0 between the years 2018 and mid-2025 with the bibliometric mapping technique via VOSviewer. In this context, Scopus database was selected because of multidisciplinary fields and search was conducted on 1,113 international scientific publications with the concepts of both “Artificial Intelligence” and “Industry 5.0”. The results show that the keywords “Industry 4.0”, “machine learning”, and “sustainability” are listed in top five except “artificial intelligence” and “Industry 5.0”. India has the highest number of citations and documents. As a number of citations, the United States has the second place and the Australia has the third. As a number of documents, the Italy has the second place and the United States has the third. According to the results of publications, the most cited document authored by Nahavandi (2019).

Kaynakça

  • Alves, J., Lima, T. M., & Gaspar, P. D. (2023). Is Industry 5.0 a human-centred approach?. Processes, 11(1), 193. https://doi.org/10.3390/pr11010193
  • Bécue, A., Gama, J., & Brito, P. Q. (2024). AI’s effect on innovation capacity in the context of industry 5.0: A scoping review. Artificial Intelligence Review, 57(8), 215. https://doi.org/10.1007/s10462-024-10864-6
  • Burnham, J. F. (2006). Scopus database: A review. Biomedical Digital Libraries, 3, 1. https://doi.org/10.1186/1742-5581-3-1
  • Chadegani, A. A., Salehi, H., Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ebrahim, N. A. (2013). A comparison between two main academic literature collections: Web of Science and Scopus databases. Asian Social Science, 9(5), 18-26. https://doi.org/10.5539/ass.v9n5p18
  • Chander, B., Pal, S., De, D., & Buyya, R. (2022). Artificial intelligence-based internet of things for industry 5.0. In S. Pal, D. De, & R. Buyya (Eds.), Artificial intelligence-based internet of things systems (pp. 3-45). Springer. https://doi.org/10.1007/978-3-030-87059-1
  • Choi, T. M., Kumar, S., Yue, X., & Chan, H. L. (2022). Disruptive technologies and operations management in the industry 4.0 era and beyond. Production and Operations Management, 31(1), 9-31. https://doi.org/10.1111/poms.13622
  • Ciobanu, A. C., & Meşniţă, G. (2022). AI ethics for Industry 5.0 – From principles to practice. In M. Zelm, A. Boza, R. D. León, & R. Rodriguez-Rodriguez (Eds.), Proceedings of the Interoperability for Enterprise Systems and Applications Workshops (I-ESA 2022) (Vol. 3214). CEUR Workshop Proceedings.
  • Ciucu-Durnoi, A. N., Delcea, C., Stănescu, A., Teodorescu, C. A., & Vargas, V. M. (2024). Beyond Industry 4.0: Tracing the path to Industry 5.0 through bibliometric analysis. Sustainability, 16(12), 5251. https://doi.org/10.3390/su16125251
  • Demir, K. A., Döven, G., & Sezen, B. (2019). Industry 5.0 and human-robot co-working. Procedia Computer Science, 158, 688-695. https://doi.org/10.1016/j.procs.2019.09.104
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • European Commission. (2021). Industry 5.0: Towards a sustainable, human-centric and resilient European industry. Publications Office of the European Union. https://research-and-innovation.ec.europa.eu/knowledge-publications-tools-and-data/publications/all-publications/industry-50-towards-sustainable-human-centric-and-resilient-european-industry_en (Accessed Date: 28 September 2025).
  • European Commission. (2023a). Eliciting and exploiting procedural knowledge in Industry 5.0 (Project 101120323). CORDIS EU Research Results. https://doi.org/10.3030/101120323
  • European Commission. (2023b). The green deal industrial plan for the net-zero age. European Commission. https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/european-green-deal/green-deal-industrial-plan_en (Accessed Date: 28 September 2025).
  • Fogaça, D. R., Grijalvo, M., & Sacomano Neto, M. (2025). What are industry 4.0 and industry 5.0 all about? An integrative institutional model for the new industrial paradigms. Administrative Sciences, 15(4), 118. https://doi.org/10.3390/admsci15040118
  • Fosso-Wamba, S., & Guthrie, C. (2024). Artificial intelligence and industry 4.0 and 5.0: A bibliometric study and research agenda. Procedia Computer Science, 239, 718-725. https://doi.org/10.1016/j.procs.2024.06.228
  • Golovianko, M., Terziyan, V., Branytskyi, V., & Malyk, D. (2023). Industry 4.0 vs. Industry 5.0: Co-existence, transition, or a hybrid. Procedia Computer Science, 217, 102-113. https://doi.org/10.1016/j.procs.2022.12.206
  • Han, J., Wu, S., & Zhang, X. (2017). Artificial intelligence and industry 5.0. Artificial Intelligence and Robotics, 6(4), 135-140. https://doi.org/10.12677/airr.2017.64015
  • Horvat, D., Jäger, A., & Lerch, C. M. (2025). Fostering innovation by complementing human competences and emerging technologies: An Industry 5.0 perspective. International Journal of Production Research, 63(3), 1126-1149. https://doi.org/10.1080/00207543.2024.2372009
  • Huang, Y. J., Cheng, S., Yang, F. Q., & Chen, C. (2022). Analysis and visualization of research on resilient cities and communities based on VOSviewer. International Journal of Environmental Research and Public Health, 19(12), 7068. https://doi.org/10.3390/ijerph19127068
  • Ivanov, D. (2023). The industry 5.0 framework: Viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 61(5), 1683-1695. https://doi.org/10.1080/00207543.2022.2118892
  • Jefroy, N., Azarian, M., & Yu, H. (2022). Moving from Industry 4.0 to Industry 5.0: What are the implications for smart logistics?. Logistics, 6(2), 26. https://doi.org/10.3390/logistics6020026
  • Kumar, R. (2025). Bibliometric analysis: Comprehensive insights into tools, techniques, applications, and solutions for research excellence. Spectrum of Engineering and Management Sciences, 3(1), 45-62. https://doi.org/10.31181/sems31202535k
  • Leal Filho, W., Nagy, G. J., Gbaguidi, G. J., Paz, S., Dinis, M. A. P., Luetz, J. M., & Sharifi, A. (2025). The role of climatic changes in the emergence and re-emergence of infectious diseases: Bibliometric analysis and literature-supported studies on zoonoses. One Health Outlook, 7(1), 12. https://doi.org/10.1186/s42522-024-00127-3
  • Leng, J., Zhu, X., Huang, Z., Li, X., Zheng, P., Zhou, X., Mourtzis, D., Wang, B., Qi, Q., Shao, H., Wan, J., Chen, X., Wang, L., & Liu, Q. (2024). Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges. Journal of Manufacturing Systems, 73, 349-363. https://doi.org/10.1016/j.jmsy.2024.02.010
  • Li, L., & Duan, L. (2025). Human centric innovation at the heart of industry 5.0 – Exploring research challenges and opportunities. International Journal of Production Research. https://doi.org/10.1080/00207543.2025.2462657
  • Lu, Y., Zheng, H., Chand, S., Xia, W., Liu, Z., Xu, X., Wang, L., Qin, Z., & Bao, J. (2022). Outlook on human-centric manufacturing towards Industry 5.0. Journal of Manufacturing Systems, 62, 612-627. https://doi.org/10.1016/j.jmsy.2022.02.001
  • Madsen, D. Ø., & Berg, T. (2021). An exploratory bibliometric analysis of the birth and emergence of industry 5.0. Applied System Innovation, 4(4), 87. https://doi.org/10.3390/asi4040087
  • Madsen, D. Ø., Berg, T., & Di Nardo, M. (2023). Bibliometric trends in industry 5.0 research: An updated overview. Applied System Innovation, 6(4), 63. https://doi.org/10.3390/asi6040063
  • Martini, B., Bellisario, D., & Coletti, P. (2024). Human-centered and sustainable artificial intelligence in industry 5.0: Challenges and perspectives. Sustainability, 16(13), 5448. https://doi.org/10.3390/su16135448
  • Mentzas, G., Hribernik, K., Stahre, J., Romero, D., & Soldatos, J. (2024). Human-centered artificial intelligence in industry 5.0. Frontiers in Artificial Intelligence, 7, 1429186. https://doi.org/10.3389/frai.2024.1429186
  • Mithas, S., Chen, Z. L., Saldanha, T. J. V., & De Oliveira Silveira, A. (2022). How will artificial intelligence and industry 4.0 emerging technologies transform operations management?. Production and Operations Management, 31(12), 4475-4487. https://doi.org/10.1111/poms.13864
  • Nahavandi, S. (2019). Industry 5.0—A human-centric solution. Sustainability, 11(16), 4371. https://doi.org/10.3390/su11164371
  • Nalbant, K. G., & Aydın, S. (2025). Endüstri 4.0'dan endüstri 5.0'a geçiş: Dijital dönüşümde yapay zeka ve metaverse'in rolü. Sosyal, Beşeri ve İdari Bilimler Dergisi, 8(1), 41-54. https://doi.org/10.26677/TR1010.2025.1502
  • Özdemir, V., & Hekim, N. (2018). Birth of industry 5.0: Making sense of big data with artificial intelligence, “the internet of things” and next-generation technology policy. OMICS: A Journal of Integrative Biology, 22(1), 65-76. https://doi.org/10.1089/omi.2017.0194
  • Passalacqua, M., Pellerin, R., Magnani, F., Doyon-Poulin, P., Del-Aguila, L., Boasen, J., & Léger, P. M. (2025). Human-centred AI in industry 5.0: A systematic review. International Journal of Production Research, 63(7), 2638-2669. https://doi.org/10.1080/00207543.2024.2406021
  • Passas, I. (2024). Bibliometric analysis: The main steps. Encyclopedia, 4(2), 1014-1025. https://doi.org/10.3390/encyclopedia4020065
  • Patrício, L., Varela, L., Silveira, Z., Felgueiras, C., & Pereira, F. (2025). A framework for integrating robotic process automation with artificial intelligence applied to industry 5.0. Applied Sciences, 15(13), 7402. https://doi.org/10.3390/app15137402
  • Peruzzini, M., Prati, E., & Pellicciari, M. (2024). A framework to design smart manufacturing systems for Industry 5.0 based on the human-automation symbiosis. International Journal of Computer Integrated Manufacturing, 37(10-11), 1426-1443. https://doi.org/10.1080/0951192X.2023.2257634
  • Raja Santhi, A., & Muthuswamy, P. (2023). Industry 5.0 or industry 4.0 S? Introduction to industry 4.0 and a peek into the prospective industry 5.0 technologies. International Journal on Interactive Design and Manufacturing (IJIDeM), 17(2), 947-979. https://doi.org/10.1007/s12008-023-01217-8
  • Rajagopal, N. K., Qureshi, N. I., Durga, S., Ramirez Asis, E. H., Huerta Soto, R. M., Gupta, S. K., & Deepak, S. (2022). Future of business culture: An artificial intelligence‐driven digital framework for organization decision‐making process. Complexity. https://doi.org/10.1155/2022/7796507
  • Rejeb, A., Rejeb, K., Zrelli, I., Kayikci, Y., & Hassoun, A. (2024). The research landscape of industry 5.0: A scientific mapping based on bibliometric and topic modeling techniques. Flexible Services and Manufacturing Journal. https://doi.org/10.1007/s10696-024-09584-4
  • Rijwani, T., Kumari, S., Srinivas, R., Abhishek, K., Iyer, G., Vara, H., Dubey, S., Revathi, V., & Gupta, M. (2025). Industry 5.0: A review of emerging trends and transformative technologies in the next industrial revolution. International Journal on Interactive Design and Manufacturing (IJIDeM), 19(2), 667-679. https://doi.org/10.1007/s12008-024-01943-7
  • Rožanec, J. M., Novalija, I., Zajec, P., Kenda, K., Tavakoli Ghinani, H., Suh, S., Bian, S., Veliou, E., Papamartzivanos, D., Giannetsos, T., Menesidou, S. A., Alonso, R., Cauli, N., Meloni, A., Recupero, D. R., Kyriazis, D., Sofianidis, G., Theodoropoulos, S., Fortuna, B., Mladenić, D., & Soldatos, J. (2023). Human-centric artificial intelligence architecture for industry 5.0 applications. International Journal of Production Research, 61(20), 6847-6872. https://doi.org/10.1080/00207543.2022.2138611
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  • Trunina, I., Bilyk, M., & Yakovenko, Y. (2023). Artificial intelligence from Industry 5.0 perspective: Threats and challenges. In 2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES) (pp. 1-5). https://doi.org/10.1109/MEES61502.2023.10402468
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  • Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L. (2021). Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of Manufacturing Systems, 61, 530-535. https://doi.org/10.1016/j.jmsy.2021.10.006
  • Zizic, M. C., Mladineo, M., Gjeldum, N., & Celent, L. (2022). From industry 4.0 towards industry 5.0: A review and analysis of paradigm shift for the people, organization and technology. Energies, 15(14), 5221. https://doi.org/10.3390/en15145221

Endüstri 5.0 ve Yapay Zeka Üzerine Küresel Araştırmaların Haritalanması: VOSViewer ile Bibliyometrik Bir İnceleme

Yıl 2025, Cilt: 6 Sayı: Global Academic Perspective in Social Sciences, 105 - 124, 28.10.2025

Öz

Endüstri 5.0’ın yükselişi, daha insan merkezli, sürdürülebilir ve iş birlikçi endüstriyel süreçlere doğru bir geçişi ifade etmektedir. Bu yeni sanayi dönüşümü evresi, Endüstri 4.0’ın ötesine geçmekte ve çok çeşitli sektörlerde geniş uygulama alanlarına sahiptir. Yapay zeka, bu dönüşümde merkezi bir rol oynamakta, daha akıllı karar alma süreçlerini ve kişiselleştirilmiş çözümleri mümkün kılmaktadır. Bu çalışmanın amacı, 2018 ile 2025’in ortaları arasındaki yapay zeka ve Endüstri 5.0 konulu yayınları VOSviewer aracılığıyla bibliyometrik haritalama tekniği kullnarak incelemektedir. Bu bağlamda, disiplinler arası alanları kapsaması nedeniyle Scopus veri tabanı seçilmiş ve “Yapay Zeka” ve “Endüstri 5.0” kavramlarını içeren 1,113 uluslararası bilimsel yayın üzerinde arama yapılmıştır. Sonuçlar, “Yapay Zeka” ve “Endustri 5.0” dışında, en çok kullanılan ilk beş anahtar kelime arasında “Endüstri 4.0”, “makine öğrenimi” ve “sürdürülebilirlik” kavramlarının yer aldığını göstermektedir. Hindistan, en fazla atıf ve dokümana sahip ülkedir. Atıf saysıına göre, Birleşik Devletlet ikinci, Avustralya ise üçüncü sıradadır. Doküman sayısına göre ise, İtalya ikinci, Birleşik Devletler üçüncü sıradadır. Yayın sonuçlarına göre, en çok atıf alan çalışma Nahavandi (2019) tarafından yazılmıştır.

Kaynakça

  • Alves, J., Lima, T. M., & Gaspar, P. D. (2023). Is Industry 5.0 a human-centred approach?. Processes, 11(1), 193. https://doi.org/10.3390/pr11010193
  • Bécue, A., Gama, J., & Brito, P. Q. (2024). AI’s effect on innovation capacity in the context of industry 5.0: A scoping review. Artificial Intelligence Review, 57(8), 215. https://doi.org/10.1007/s10462-024-10864-6
  • Burnham, J. F. (2006). Scopus database: A review. Biomedical Digital Libraries, 3, 1. https://doi.org/10.1186/1742-5581-3-1
  • Chadegani, A. A., Salehi, H., Yunus, M. M., Farhadi, H., Fooladi, M., Farhadi, M., & Ebrahim, N. A. (2013). A comparison between two main academic literature collections: Web of Science and Scopus databases. Asian Social Science, 9(5), 18-26. https://doi.org/10.5539/ass.v9n5p18
  • Chander, B., Pal, S., De, D., & Buyya, R. (2022). Artificial intelligence-based internet of things for industry 5.0. In S. Pal, D. De, & R. Buyya (Eds.), Artificial intelligence-based internet of things systems (pp. 3-45). Springer. https://doi.org/10.1007/978-3-030-87059-1
  • Choi, T. M., Kumar, S., Yue, X., & Chan, H. L. (2022). Disruptive technologies and operations management in the industry 4.0 era and beyond. Production and Operations Management, 31(1), 9-31. https://doi.org/10.1111/poms.13622
  • Ciobanu, A. C., & Meşniţă, G. (2022). AI ethics for Industry 5.0 – From principles to practice. In M. Zelm, A. Boza, R. D. León, & R. Rodriguez-Rodriguez (Eds.), Proceedings of the Interoperability for Enterprise Systems and Applications Workshops (I-ESA 2022) (Vol. 3214). CEUR Workshop Proceedings.
  • Ciucu-Durnoi, A. N., Delcea, C., Stănescu, A., Teodorescu, C. A., & Vargas, V. M. (2024). Beyond Industry 4.0: Tracing the path to Industry 5.0 through bibliometric analysis. Sustainability, 16(12), 5251. https://doi.org/10.3390/su16125251
  • Demir, K. A., Döven, G., & Sezen, B. (2019). Industry 5.0 and human-robot co-working. Procedia Computer Science, 158, 688-695. https://doi.org/10.1016/j.procs.2019.09.104
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • European Commission. (2021). Industry 5.0: Towards a sustainable, human-centric and resilient European industry. Publications Office of the European Union. https://research-and-innovation.ec.europa.eu/knowledge-publications-tools-and-data/publications/all-publications/industry-50-towards-sustainable-human-centric-and-resilient-european-industry_en (Accessed Date: 28 September 2025).
  • European Commission. (2023a). Eliciting and exploiting procedural knowledge in Industry 5.0 (Project 101120323). CORDIS EU Research Results. https://doi.org/10.3030/101120323
  • European Commission. (2023b). The green deal industrial plan for the net-zero age. European Commission. https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/european-green-deal/green-deal-industrial-plan_en (Accessed Date: 28 September 2025).
  • Fogaça, D. R., Grijalvo, M., & Sacomano Neto, M. (2025). What are industry 4.0 and industry 5.0 all about? An integrative institutional model for the new industrial paradigms. Administrative Sciences, 15(4), 118. https://doi.org/10.3390/admsci15040118
  • Fosso-Wamba, S., & Guthrie, C. (2024). Artificial intelligence and industry 4.0 and 5.0: A bibliometric study and research agenda. Procedia Computer Science, 239, 718-725. https://doi.org/10.1016/j.procs.2024.06.228
  • Golovianko, M., Terziyan, V., Branytskyi, V., & Malyk, D. (2023). Industry 4.0 vs. Industry 5.0: Co-existence, transition, or a hybrid. Procedia Computer Science, 217, 102-113. https://doi.org/10.1016/j.procs.2022.12.206
  • Han, J., Wu, S., & Zhang, X. (2017). Artificial intelligence and industry 5.0. Artificial Intelligence and Robotics, 6(4), 135-140. https://doi.org/10.12677/airr.2017.64015
  • Horvat, D., Jäger, A., & Lerch, C. M. (2025). Fostering innovation by complementing human competences and emerging technologies: An Industry 5.0 perspective. International Journal of Production Research, 63(3), 1126-1149. https://doi.org/10.1080/00207543.2024.2372009
  • Huang, Y. J., Cheng, S., Yang, F. Q., & Chen, C. (2022). Analysis and visualization of research on resilient cities and communities based on VOSviewer. International Journal of Environmental Research and Public Health, 19(12), 7068. https://doi.org/10.3390/ijerph19127068
  • Ivanov, D. (2023). The industry 5.0 framework: Viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 61(5), 1683-1695. https://doi.org/10.1080/00207543.2022.2118892
  • Jefroy, N., Azarian, M., & Yu, H. (2022). Moving from Industry 4.0 to Industry 5.0: What are the implications for smart logistics?. Logistics, 6(2), 26. https://doi.org/10.3390/logistics6020026
  • Kumar, R. (2025). Bibliometric analysis: Comprehensive insights into tools, techniques, applications, and solutions for research excellence. Spectrum of Engineering and Management Sciences, 3(1), 45-62. https://doi.org/10.31181/sems31202535k
  • Leal Filho, W., Nagy, G. J., Gbaguidi, G. J., Paz, S., Dinis, M. A. P., Luetz, J. M., & Sharifi, A. (2025). The role of climatic changes in the emergence and re-emergence of infectious diseases: Bibliometric analysis and literature-supported studies on zoonoses. One Health Outlook, 7(1), 12. https://doi.org/10.1186/s42522-024-00127-3
  • Leng, J., Zhu, X., Huang, Z., Li, X., Zheng, P., Zhou, X., Mourtzis, D., Wang, B., Qi, Q., Shao, H., Wan, J., Chen, X., Wang, L., & Liu, Q. (2024). Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges. Journal of Manufacturing Systems, 73, 349-363. https://doi.org/10.1016/j.jmsy.2024.02.010
  • Li, L., & Duan, L. (2025). Human centric innovation at the heart of industry 5.0 – Exploring research challenges and opportunities. International Journal of Production Research. https://doi.org/10.1080/00207543.2025.2462657
  • Lu, Y., Zheng, H., Chand, S., Xia, W., Liu, Z., Xu, X., Wang, L., Qin, Z., & Bao, J. (2022). Outlook on human-centric manufacturing towards Industry 5.0. Journal of Manufacturing Systems, 62, 612-627. https://doi.org/10.1016/j.jmsy.2022.02.001
  • Madsen, D. Ø., & Berg, T. (2021). An exploratory bibliometric analysis of the birth and emergence of industry 5.0. Applied System Innovation, 4(4), 87. https://doi.org/10.3390/asi4040087
  • Madsen, D. Ø., Berg, T., & Di Nardo, M. (2023). Bibliometric trends in industry 5.0 research: An updated overview. Applied System Innovation, 6(4), 63. https://doi.org/10.3390/asi6040063
  • Martini, B., Bellisario, D., & Coletti, P. (2024). Human-centered and sustainable artificial intelligence in industry 5.0: Challenges and perspectives. Sustainability, 16(13), 5448. https://doi.org/10.3390/su16135448
  • Mentzas, G., Hribernik, K., Stahre, J., Romero, D., & Soldatos, J. (2024). Human-centered artificial intelligence in industry 5.0. Frontiers in Artificial Intelligence, 7, 1429186. https://doi.org/10.3389/frai.2024.1429186
  • Mithas, S., Chen, Z. L., Saldanha, T. J. V., & De Oliveira Silveira, A. (2022). How will artificial intelligence and industry 4.0 emerging technologies transform operations management?. Production and Operations Management, 31(12), 4475-4487. https://doi.org/10.1111/poms.13864
  • Nahavandi, S. (2019). Industry 5.0—A human-centric solution. Sustainability, 11(16), 4371. https://doi.org/10.3390/su11164371
  • Nalbant, K. G., & Aydın, S. (2025). Endüstri 4.0'dan endüstri 5.0'a geçiş: Dijital dönüşümde yapay zeka ve metaverse'in rolü. Sosyal, Beşeri ve İdari Bilimler Dergisi, 8(1), 41-54. https://doi.org/10.26677/TR1010.2025.1502
  • Özdemir, V., & Hekim, N. (2018). Birth of industry 5.0: Making sense of big data with artificial intelligence, “the internet of things” and next-generation technology policy. OMICS: A Journal of Integrative Biology, 22(1), 65-76. https://doi.org/10.1089/omi.2017.0194
  • Passalacqua, M., Pellerin, R., Magnani, F., Doyon-Poulin, P., Del-Aguila, L., Boasen, J., & Léger, P. M. (2025). Human-centred AI in industry 5.0: A systematic review. International Journal of Production Research, 63(7), 2638-2669. https://doi.org/10.1080/00207543.2024.2406021
  • Passas, I. (2024). Bibliometric analysis: The main steps. Encyclopedia, 4(2), 1014-1025. https://doi.org/10.3390/encyclopedia4020065
  • Patrício, L., Varela, L., Silveira, Z., Felgueiras, C., & Pereira, F. (2025). A framework for integrating robotic process automation with artificial intelligence applied to industry 5.0. Applied Sciences, 15(13), 7402. https://doi.org/10.3390/app15137402
  • Peruzzini, M., Prati, E., & Pellicciari, M. (2024). A framework to design smart manufacturing systems for Industry 5.0 based on the human-automation symbiosis. International Journal of Computer Integrated Manufacturing, 37(10-11), 1426-1443. https://doi.org/10.1080/0951192X.2023.2257634
  • Raja Santhi, A., & Muthuswamy, P. (2023). Industry 5.0 or industry 4.0 S? Introduction to industry 4.0 and a peek into the prospective industry 5.0 technologies. International Journal on Interactive Design and Manufacturing (IJIDeM), 17(2), 947-979. https://doi.org/10.1007/s12008-023-01217-8
  • Rajagopal, N. K., Qureshi, N. I., Durga, S., Ramirez Asis, E. H., Huerta Soto, R. M., Gupta, S. K., & Deepak, S. (2022). Future of business culture: An artificial intelligence‐driven digital framework for organization decision‐making process. Complexity. https://doi.org/10.1155/2022/7796507
  • Rejeb, A., Rejeb, K., Zrelli, I., Kayikci, Y., & Hassoun, A. (2024). The research landscape of industry 5.0: A scientific mapping based on bibliometric and topic modeling techniques. Flexible Services and Manufacturing Journal. https://doi.org/10.1007/s10696-024-09584-4
  • Rijwani, T., Kumari, S., Srinivas, R., Abhishek, K., Iyer, G., Vara, H., Dubey, S., Revathi, V., & Gupta, M. (2025). Industry 5.0: A review of emerging trends and transformative technologies in the next industrial revolution. International Journal on Interactive Design and Manufacturing (IJIDeM), 19(2), 667-679. https://doi.org/10.1007/s12008-024-01943-7
  • Rožanec, J. M., Novalija, I., Zajec, P., Kenda, K., Tavakoli Ghinani, H., Suh, S., Bian, S., Veliou, E., Papamartzivanos, D., Giannetsos, T., Menesidou, S. A., Alonso, R., Cauli, N., Meloni, A., Recupero, D. R., Kyriazis, D., Sofianidis, G., Theodoropoulos, S., Fortuna, B., Mladenić, D., & Soldatos, J. (2023). Human-centric artificial intelligence architecture for industry 5.0 applications. International Journal of Production Research, 61(20), 6847-6872. https://doi.org/10.1080/00207543.2022.2138611
  • Schotten, M., el Aisati, M., Meester, W. J. N., Steiginga, S., & Ross, C. A. (2017). A brief history of Scopus: The world’s largest abstract and citation database of scientific literature. In F. J. Cantu-Ortiz (Ed.), Research analytics (pp. 31-58). Auerbach Publications. https://doi.org/10.1201/9781315155890
  • Trunina, I., Bilyk, M., & Yakovenko, Y. (2023). Artificial intelligence from Industry 5.0 perspective: Threats and challenges. In 2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES) (pp. 1-5). https://doi.org/10.1109/MEES61502.2023.10402468
  • Tseng, M. L., Tran, T. P. T., Ha, H. M., Bui, T. D., & Lim, M. K. (2021). Sustainable industrial and operation engineering trends and challenges toward Industry 4.0: A data driven analysis. Journal of Industrial and Production Engineering, 38(8), 581-598. https://doi.org/10.1080/21681015.2021.1950227
  • Valeriya, G., Kirola, M., Gupta, M., Bharathi, P., Acharya, P., & Sharma, R. (2024). Evaluating the impact of AI-based sustainability measures in industry 5.0: A longitudinal study. In P.K. Prabhakar (Ed.), BIO Web of Conferences (Vol. 86, Article 01058). EDP Sciences. https://doi.org/10.1051/bioconf/20248601058
  • van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3
  • Xu, J., Sun, Q., Han, Q. L., & Tang, Y. (2025). When embodied AI meets Industry 5.0: Human-centered smart manufacturing. IEEE/CAA Journal of Automatica Sinica, 12(3), 485-501. https://doi.org/10.1109/JAS.2025.125327
  • Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L. (2021). Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of Manufacturing Systems, 61, 530-535. https://doi.org/10.1016/j.jmsy.2021.10.006
  • Zizic, M. C., Mladineo, M., Gjeldum, N., & Celent, L. (2022). From industry 4.0 towards industry 5.0: A review and analysis of paradigm shift for the people, organization and technology. Energies, 15(14), 5221. https://doi.org/10.3390/en15145221
Toplam 51 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Araştırma Makaleleri
Yazarlar

Hazal Ezgi Özbek 0000-0003-3259-6817

Kübra Topcuoğlu Onat 0000-0001-8702-9954

Yayımlanma Tarihi 28 Ekim 2025
Gönderilme Tarihi 18 Ağustos 2025
Kabul Tarihi 11 Ekim 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 6 Sayı: Global Academic Perspective in Social Sciences

Kaynak Göster

APA Özbek, H. E., & Topcuoğlu Onat, K. (2025). Mapping Global Research on Industry 5.0 and Artificial Intelligence: A Bibliometric Review with VOSViewer. Sosyal Mucit Academic Review, 6(Global Academic Perspective in Social Sciences), 105-124. https://doi.org/10.54733/smar.1768215