Identificando temas emergentes en el paradigma de la Industria 5.0
DOI:
https://doi.org/10.31637/epsir-2026-2092Palabras clave:
Industria 5.0, industria 4.0, Producción científica, Redes de co-citación, Redes de co-ocurrencia de palabras-clave, Minería de redes, Visualización de información, Mapas de la cienciaResumen
Introducción: Se presenta un enfoque de minería de redes para la identificación de los temas emergentes en la literatura científica sobre el paradigma de la Industria 5.0. Metodología: Se realizó un análisis descriptivo de los datos y un análisis bibliométrico estructural, basado en la combinación de análisis de co-citación de documentos, análisis de co-ocurrencia de palabras-clave, aplicación de técnicas de minería de redes y visualización de la información. Resultados: Se recuperaron un total de 1.632 documentos de la base de datos Web of Science (WoS), durante el periodo 2016-2024. En el análisis descriptivo se identificaron las revistas, los autores y los documentos más influyentes. Los mapas científicos obtenidos permitieron detectar la estructura intelectual y la estructura conceptual de las principales categorías temáticas y áreas de investigación. Discusión: Los temas se clasificaron y caracterizaron para describir las transformaciones impulsados por la Industria 5.0. Las principales tendencias de investigación se centraron en el valor del ser humano, la sostenibilidad ambiental, la resiliencia económica frente a situaciones adversas, la consolidación de las tecnologías digitales avanzadas de Inteligencia Artificial (IA) y la integración de la realidad virtual en los procesos de fabricación. Conclusiones: La metodología utilizada ha contribuido a una mejor comprensión de esta etapa contemporánea de los procesos industriales.
Descargas
Citas
Adel, A. (2022). Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas. Journal of Cloud Computing, 11, 40. https://doi.org/10.1186/s13677-022-00314-5 DOI: https://doi.org/10.1186/s13677-022-00314-5
Aria, M. y Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007 DOI: https://doi.org/10.1016/j.joi.2017.08.007
Aslam, F., Wang, A., Li, M. y Rehman, K. U. (2020). Innovation in the Era of IoT and Industry 5.0: Absolute Innovation Management (AIM) Framework. Information, 11(2), 124. https://doi.org/10.3390/info11020124 DOI: https://doi.org/10.3390/info11020124
Barata, J. y Kayser, I. (2024). How will the digital twin shape the future of industry 5.0? Technovation, 134, 103025. https://doi.org/10.1016/j.technovation.2024.103025 DOI: https://doi.org/10.1016/j.technovation.2024.103025
Ben Youssef A. y Mejri, I. (2023) Linking Digital Technologies to sustainability through industry 5.0: A bibliometric analysis. Sustainability, 15(9), 7465. https://doi.org/10.3390/su15097465 DOI: https://doi.org/10.3390/su15097465
Bhat, F. A. y Parvez, S. (2024). Emerging Challenges in the Sustainable Manufacturing System: From Industry 4.0 to Industry 5.0. Journal of The Institution of Engineers (India): Series C, 105, 1385-1399. https://doi.org/10.1007/s40032-024-01046-y DOI: https://doi.org/10.1007/s40032-024-01046-y
Börner, K., Chen, C. M. y Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179-255. https://doi.org/10.1002/aris.1440370106 DOI: https://doi.org/10.1002/aris.1440370106
Borregan-Alvarado, J., Alvarez-Meaza, I., Cilleruelo-Carrasco, E. y Garechana-Anacabe, G. (2020). A Bibliometric Analysis in Industry 4.0 and Advanced Manufacturing: What about the Sustainable Supply Chain? Sustainability, 12(19), 7840. https://doi.org/10.3390/su12197840 DOI: https://doi.org/10.3390/su12197840
Breque, M., De Nul L. y Petridis, A. (2021). Industry 5.0 - Towards a sustainable, human-centric and resilient European industry. European Commission. https://data.europa.eu/doi/10.2777/308407
Chen, C. (2003). Mapping scientific frontiers: The quest for knowledge visualization. Springer Verlag. DOI: https://doi.org/10.1007/978-1-4471-0051-5
Ciucu-Durnoi, A. N., Delcea, C., Stănescu, A., Teodorescu, C. A. y Vargas, V. M. (2024). Beyond Industry 4.0: Tracing the Path to Industry 5.0 through Bibliometric Analysis. Sustainability, 16, 5251. https://doi.org/10.3390/su16125251 DOI: https://doi.org/10.3390/su16125251
Cobo, M. J., Jürgens, B., Herrero-Solana, V., Martínez, M. A. y Herrera-Viedma, E. (2018). Industry 4.0: A perspective based on bibliometric analysis. Procedia Computer Science, 139, 364-371. https://doi.org/10.1016/j.procs.2018.10.278 DOI: https://doi.org/10.1016/j.procs.2018.10.278
Comisión Europea (2021). Industry 5.0 – Towards a sustainable, human-centric and resilient European industry. Publications Office of the European Union. https://data.europa.eu/doi/10.2777/308407
Demir, K. A., Döven, G. y 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 DOI: https://doi.org/10.1016/j.procs.2019.09.104
Ding, Y., Chowdhury, G. G. y Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information Processing and Management, 37, 817-842. https://doi.org/10.1016/S0306-4573(00)00051-0 DOI: https://doi.org/10.1016/S0306-4573(00)00051-0
Ghobakhloo, M., Iranmanesh, M., Mubarak, M. F., Mubarik, M., Rejeb, A. y Nilashi M (2022) Identifying industry 5.0 contributions to sustainable development: A strategy roadmap for delivering sustainability values. Sustainable Production and Consumption, 33, 716-737. https://doi.org/10.1016/j.spc.2022.08.003 DOI: https://doi.org/10.1016/j.spc.2022.08.003
Heer, J., Bostock, M. y Ogievetsky, V. (2010). A tour through the visualization zoo: A survey of powerful visualization techniques, from the obvious to the obscure. Queue, 8(5),
20-30. https://doi.org/10.1145/1794514.1805128 DOI: https://doi.org/10.1145/1794514.1805128
Hou, J., Yang, X. y Chen, C. (2018). Emerging trends and new developments in information science: A document co-citation analysis (2009–2016). Scientometrics, 115, 869-892. https://doi.org/10.1007/s11192-018-2695-9 DOI: https://doi.org/10.1007/s11192-018-2695-9
Huang, S., Wang, B., Li, X., Zheng, P., Mourtzis, D. y Wang, L. (2022). Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution. Journal of Manufacturing Systems, 64, 424-428. https://doi.org/10.1016/j.jmsy.2022.07.010 DOI: https://doi.org/10.1016/j.jmsy.2022.07.010
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 DOI: https://doi.org/10.1080/00207543.2022.2118892
Javaid, M. y Haleem, A. (2020). Critical Components of Industry 5.0 Towards a Successful Adoption in the Field of Manufacturing. Journal of Industrial Integration and Management, 5(3). https://doi.org/10.1142/S2424862220500141 DOI: https://doi.org/10.1142/S2424862220500141
Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R. y Vaish, A. (2020). Industry 4.0 Technologies and Their Applications in Fighting COVID-19 Pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14, 419-422. https://doi.org/10.1016/j.dsx.2020.04.032 DOI: https://doi.org/10.1016/j.dsx.2020.04.032
Kipper, L. M., Furstenau, L. B., Hoppe, D., Frozza, R. y Iepsen, S. (2019). Scopus scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis. International Journal of Production Research, 58(6), 1605-1627. https://doi.org/10.1080/00207543.2019.1671625 DOI: https://doi.org/10.1080/00207543.2019.1671625
Lee, J., Bagheri, B. y Kao, H. A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23. https://doi.org/10.1016/j.mfglet.2014.12.001 DOI: https://doi.org/10.1016/j.mfglet.2014.12.001
Leng, J., Sha, W., Wang, B., Zheng, P., Zhuang, C., Liu, Q., Wuest, T., Mourtzis, D. y Wang, L. (2022). Industry 5.0: Prospect and retrospect. Journal of Manufacturing Systems, 65,
279-295. https://doi.org/10.1016/j.jmsy.2022.09.017 DOI: https://doi.org/10.1016/j.jmsy.2022.09.017
Leung, S. Y., Sun, J. y Bai, B. (2017). Bibliometrics of social media research: A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35-45. https://doi.org/10.1016/j.ijhm.2017.06.012 DOI: https://doi.org/10.1016/j.ijhm.2017.06.012
Leydesdorff, L. y Welbers, K. (2011). The semantic mapping of words and co-words in contexts. Journal of Informetrics, 5(3), 469-475. https://doi.org/10.1016/j.joi.2011.01.008 DOI: https://doi.org/10.1016/j.joi.2011.01.008
Liu, S. y Chen C. (2012). The proximity of co-citation. Scientometrics, 91(2), 495-511. https://doi.org/10.1007/s11192-011-0575-7 DOI: https://doi.org/10.1007/s11192-011-0575-7
Longo, F., Padovano, A. y Umbrello, S. (2020). Value-Oriented and Ethical Technology Engineering in Industry 5.0: A Human-Centric Perspective for the Design of the Factory of the Futur. Applied Sciences, 10(12), 4182. https://doi.org/10.3390/app10124182 DOI: https://doi.org/10.3390/app10124182
Lu, Y. Q., Zheng, H., Chand, S., Xu, X., Wand, L., Qin, Z. y 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 DOI: https://doi.org/10.1016/j.jmsy.2022.02.001
Maddikunta, P. K. R., Pham, Q. V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R. y Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26. https://doi.org/10.1016/j.jii.2021.100257 DOI: https://doi.org/10.1016/j.jii.2021.100257
Madsen, D. Ø. y Berg, T. (2021). An Exploratory Bibliometric Analysis of the Birth and Emergence of Industry 5.0. Appied. System Innovation, 4(4), 87. https://doi.org/10.3390/asi4040087 DOI: https://doi.org/10.3390/asi4040087
Mariani, M. y Borghi, M. (2019). Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries. Technological Forecasting and Social Change, 149, 119752. https://doi.org/10.1016/j.techfore.2019.119752 DOI: https://doi.org/10.1016/j.techfore.2019.119752
Muhuri, P. K., Shukla, A. K. y Abraham, A. (2019). Industry 4.0: A bibliometric analysis and detailed overview. Engineering Applications of Artificial Intelligence, 78, 218-235. https://doi.org/10.1016/j.engappai.2018.11.007 DOI: https://doi.org/10.1016/j.engappai.2018.11.007
Nahavandi, S. (2019). Industry 5.0—A Human-Centric Solution. Sustainability, 11(16), 4371. https://doi.org/10.3390/su11164371 DOI: https://doi.org/10.3390/su11164371
Nerur, S. P., Rasheed, A. A. y Natarajan, V. (2008). The intellectual structure of the strategic management field: An author co-citation analysis. Strategic Management Journal, 29(3), 319-336. https://doi.org/10.1002/smj.659 DOI: https://doi.org/10.1002/smj.659
Noyons, E. C. M., Moed, H. F. y Luwel, M. (1999). Combining mapping and citation analysis for evaluative bibliometric purposes: a bibliometric study. Journal of the Association for Information Science and Technology, 50, 115-131. DOI: https://doi.org/10.1002/(SICI)1097-4571(1999)50:2<115::AID-ASI3>3.3.CO;2-A
https://doi.org/10.1002/(SICI)1097-4571(1999)50:2<115::AID-ASI3>3.0.CO;2-J DOI: https://doi.org/10.1002/(SICI)1097-4571(1999)50:2<115::AID-ASI3>3.0.CO;2-J
Özdemir, V. y 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). https://doi.org/10.1089/omi.2017.0194 DOI: https://doi.org/10.1089/omi.2017.0194
Pons, P. y Latapy, M. (2005). Computing Communities in Large Networks Using Random Walks. En P. Yolum, T. Güngör, F. Gürgen y C. Özturan, C. (Eds.), Lecture Notes in Computer Science (pp. 284-293), Springer. https://doi.org/10.1007/11569596_31 DOI: https://doi.org/10.1007/11569596_31
Ravikumar, S., Agrahari, A. y Singh, S. N. (2015). Document mapping the intellectual structure of scientometrics: A co-word analysis of the journal scientometrics (2005–2010). Scientometrics, 102, 929-955. https://doi.org/10.1007/s11192-014-1402-8 DOI: https://doi.org/10.1007/s11192-014-1402-8
Rejeb, A., Rejeb, K., Zrelli, I., Kayikci Y. 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 DOI: https://doi.org/10.1007/s10696-024-09584-4
Romero, D. y Stahre, J. (2021). Towards The Resilient Operator 5.0: The Future of Work in Smart Resilient Manufacturing Systems. Procedia CIRP, 104, 1089-1094. https://doi.org/10.1016/j.procir.2021.11.183 DOI: https://doi.org/10.1016/j.procir.2021.11.183
Saniuk, S., Grabowska, S. y Straka, M. (2022). Identification of Social and Economic Expectations: Contextual Reasons for the Transformation Process of Industry 4.0 into the Industry 5.0 Concept. Sustainability, 14(3), 1391. https://doi.org/10.3390/su14031391 DOI: https://doi.org/10.3390/su14031391
Small, H., Boyack, K. W. y Klavans, R. (2014). Identifying emerging topics in science and Technology. Research Policy, 43(8), 1450-1467. https://doi.org/10.1016/j.respol.2014.02.005 DOI: https://doi.org/10.1016/j.respol.2014.02.005
Tavares-Lehmann, A. T. y Varum, C. (2021). Industry 4.0 and Sustainability: A Bibliometric Literature Review. Sustainability, 13(6), 3493. https://doi.org/10.3390/su13063493 DOI: https://doi.org/10.3390/su13063493
Van Eck, N. J. y Waltman, L. (2009). How to normalize co-occurrence data? An analysis of some well-known similarity measures. Journal of the Association for Information Science and Technology, 60(8), 1635-1651. https://doi.org/10.1002/asi.21075 DOI: https://doi.org/10.1002/asi.21075
Vogel-Heuser, B. y Hess D. (2016). Guest editorial: Industry 4.0–prerequisites and visions. IEEE Transactions on Automation Science and Engineering, 13(2), 1-3. https://doi.org/10.1109/TASE.2016.2523639 DOI: https://doi.org/10.1109/TASE.2016.2523639
Wang, B., Zhou, H., Li, X., Yang, G., Zheng, P., Song, C., Yuan, Y., Wuest, T., Yang, H. y Wang, L. (2024). Human digital twin in the context of industry 5.0. Robotics and Computer Integrated Manufacturing, 85, 102626. https://doi.org/10.1016/j.rcim.2023.102626 DOI: https://doi.org/10.1016/j.rcim.2023.102626
White, H. D. y McCain, K. W. (1998). Visualizing a discipline: An author co-cita-tion analysis of information science, 1972-1995. Journal of the American Society for Information Science, 49, 327-356. DOI: https://doi.org/10.1002/(SICI)1097-4571(19980401)49:4<327::AID-ASI4>3.0.CO;2-W
https://doi.org/10.1002/(SICI)1097-4571(19980401)49:4<327::AID-ASI4>3.0.CO;2-4 DOI: https://doi.org/10.1002/(SICI)1097-4571(19980401)49:4<327::AID-ASI4>3.0.CO;2-4
Xu, X., Lu, Y., Vogel-Heuser, B. y 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 DOI: https://doi.org/10.1016/j.jmsy.2021.10.006
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2025 Carmen Galvez Martínez
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Non Commercial, No Derivatives Attribution 4.0. International (CC BY-NC-ND 4.0.), that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
