Open Access

Is the Concept of Industry 4.0 Still Interesting for Scientists due to the Emergence of Industry 5.0? Bibliometric Analysis


Cite

Babkin, A., Shkarupeta, E., Kabasheva, I., Rudaleva, I., & Vicentiy, A. A. (2022). Framework for digital development of industrial systems in the strategic drift to Industry 5.0. International Journal of Technology, 13(7), 1373-1382. https://doi.org/10.14716/ijtech.v13i7.6193 Search in Google Scholar

Bellman, K., Landauer, C., Dutt, N., Esterle, L., Herkersdorf, A., Jantsch, A., Taherinejad, N., Lewis, P. R., Platzner, M., & Tammemae, K. (2020). Self-aware cyber-physical systems. ACM Transactions on Cyber-Physical Systems, 4(4), 1-26. https://doi.org/10.1145/3375716 Search in Google Scholar

Cannavacciuolo, L., Ferraro, G., Ponsiglione, C., Primario, S., & Quinto, I. (2023). Technological innovation-enabling industry 4.0 paradigm: A systematic literature review. Technovation, 124, 102733. https://doi.org/10.1016/j.technovation.2023.102733 Search in Google Scholar

Coelho, M. A., Oliveira, F. A. D., Dessimoni, L. H., & Libório, N. S. (2022). Cyber-physical production system assessment within the manufacturing industries in the Amazon. International Journal of Production Management and Engineering, 10(1), 51-64. https://doi.org/10.4995/ijpme.2022.16130 Search in Google Scholar

Danys, L., Zolotova, I., Romero, D., Papcun, P., Kajati, E., Jaros, R., Koudelka, P., Koziorek, J., & Martinek, R. (2022). Visible light communication and localisation: A study on tracking solutions for Industry 4.0 and the Operator 4.0. Journal of Manufacturing Systems, 64, 535-545. https://doi.org/10.1016/j.jmsy.2022.07.011 Search in Google Scholar

De Freitas Vilela, J. M., & Filho, F. J. R. (2022). Industry 4.0 and 5G technology on firm network: A balanced competitive expansion conceptual model development. Brazilian Journal of Operations & Production Management, 19(3), 1-18. https://doi.org/10.14488/BJOPM.2022.1426 Search in Google Scholar

Dos Santos, L. M.A.L., da Costa, M. B., Kothe, J. V., Benitez, G. B., Schaefer, J. L., Baierle, I. C., & Nara, E. O. B. (2021). Industry 4.0 collaborative networks for industrial performance. Journal of Manufacturing Technology Management, 32(2), 245-265. https://doi.org/10.1108/JMTM-04-2020-0156 Search in Google Scholar

Francalanza, E., Borg, J., Rauch, E., Putnik, G. D., Alves, C., Lundgren, M., & Amza, C. (2021). Specifications for a digital training toolbox for Industry 4.0. FME Transactions, 49(4), 886-893. https://doi.org/10.5937/fme2104893F Search in Google Scholar

Freund, L., & Al-Majeed, S. (2021). Managing Industry 4.0 integration - the Industry 4.0 knowledge & technology framework. LogForum, 17(4), 569-586. Search in Google Scholar

Grabowska, S., Saniuk, S., & Gajdzik, B. (2022). Industry 5.0: improving humanisation and sustainability of Industry 4.0. Scientometrics, 127(6), 3117-3144. https://doi.org/10.1007/s11192-022-04370-1 Search in Google Scholar

Hassani, H., Huang, X., & MacFeely, S. (2022). Impactful digital twin in the healthcare revolution. Big Data and Cognitive Computing, 6(3), 83. https://doi.org/10.3390/bdcc6030083 Search in Google Scholar

Hettiarachchi, B. D., Seuring, S., & Brandenburg, M. (2022). Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis. Operations Management Research, 1-21. https://doi.org/10.1007/s12063-022-00275-7 Search in Google Scholar

Jafari, 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 Search in Google Scholar

Jamwal, A., Agrawal, R., Sharma, M., & Pratap, S. (2021). Industry 4.0: An Indian perspective. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds). Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, 630, 113-123. https://doi.org/10.1007/978-3-030-85874-2_12 Search in Google Scholar

Jia, W., Wang, W., & Zhang, Z. (2022). From simple digital twin to complex digital twin Part I: A novel modeling method for multi-scale and multi-scenario digital twin. Advanced Engineering Informatics, 53, 101706. https://doi.org/10.1016/j.aei.2022.101706 Search in Google Scholar

Khoshroo, M., & Talari, M. (2022). Scientific mapping of digital transformation strategy research studies in the Industry 4.0: A bibliometric analysis. Nankai Business Review International. https://doi.org/10.1108/NBRI-03-2022-0021 Search in Google Scholar

Kumar, R., Rani, S., & Awadh, M. A. (2022). Exploring the application sphere of the Internet of things in industry 4.0: a review, bibliometric and content analysis. Sensors, 22(11), 4276. https://doi.org/10.3390/s22114276 Search in Google Scholar

Leng, J., Sha, W., Wang, B., Zheng, P., Zhuang, C., Liu, Q., Wuest, T., Mourtzis, D., & 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 Search in Google Scholar

Liebrecht, C., Kandler, M., Lang, M., Schaumann, S., Stricker, N., Wuest, T., & Lanza, G. (2021). Decision support for the implementation of Industry 4.0 methods: Toolbox, assessment and implementation sequences for Industry 4.0. Journal of Manufacturing Systems, 58(Part A), 412-430. https://doi.org/10.1016/j.jmsy.2020.12.008 Search in Google Scholar

Machado, F., Duarte, N., Amaral, A., & Araújo, M. (2022). Digital transformation in manufacturing SMEs: A bibliometric analysis using VOSviewer. Proceedings of the 12th International Scientific Conference on Business and Management, 627-633. https://doi.org/10.3846/bm.2022.852 Search in Google Scholar

Maddikunta, P. K. R., Pham, Q. V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., & Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26, 100257. https://doi.org/10.1016/j.jii.2021.100257 Search in Google Scholar

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 Search in Google Scholar

Majerník, M., Daneshjo, N., Malega, P., Drábik, P., & Barilová, B. (2022). Sustainable development of the intelligent industry from Industry 4.0 to Industry 5.0. Advances in Science and Technology Research Journal, 16(2), 12-18. https://doi.org/10.12913/22998624/146420 Search in Google Scholar

Martinek, R., Jaros, R., Baros, J., Danys, L., Kawala-Sterniuk, A., Nedoma, J., Machacek, Z., & Koziorek, J. (2021). Noise reduction in industry based on virtual instrumentation. Computers, Materials & Continua, 69(1), 1073-1096. https://doi.org/10.32604/cmc.2021.017568 Search in Google Scholar

Mateo, F. W., & Redchuk, A. (2022). Artificial Intelligence as a process optimization driver under Industry 4.0 framework and the role of IIoT, a bibliometric analysis. Journal of Industrial Integration and Management, 1-16. https://doi.org/10.1142/S2424862222500130 Search in Google Scholar

Milosevic, I., Arsic, S., Glogovac, M., Rakic, A., & Ruso, J. (2022). Industry 4.0: Limitation or benefit for success? Serbian Journal of Management, 17(1), 85-98. https://doi.org/10.5937/sjm17-36413 Search in Google Scholar

Moiceanu, G., & Paraschiv, G. (2022). Digital twin and smart manufacturing in industries: A bibliometric analysis with a focus on industry 4.0. Sensors, 22(4), 1388. https://doi.org/10.3390/s22041388 Search in Google Scholar

Muhuri, P. K., Shukla, A. K., & 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 Search in Google Scholar

Nedjwa, E., Bertrand, R., & Boudemagh, S. S. (2022). Impacts of Industry 4.0 technologies on Lean management tools: a bibliometric analysis. International Journal on Interactive Design and Manufacturing (IJIDeM), 16(1), 135-150. https://doi.org/10.1007/s12008-021-00795-9 Search in Google Scholar

Nikolakis, N., Senington, R., Sipsas, K., Syberfeldt, A., & Makris, S. (2020). On a containerised approach for the dynamic planning and control of a cyber-physical production system. Robotics and Computer-Integrated Manufacturing, 64, 101919. https://doi.org/10.1016/j.rcim.2019.101919 Search in Google Scholar

Nota, G., Peluso, D., & Lazo, A. T. (2021). The contribution of Industry 4.0 technologies to facility management. International Journal of Engineering Business Management, 13, 18479790211024131. https://doi.org/10.1177/18479790211024131 Search in Google Scholar

Popkova, E. G., & Giyazov, A. (2021). Industrial and manufacturing engineering in fight against the virus threat: Perspectives of increasing quality based on digitalisation and industry 4.0. International Journal for Quality Research, 15(1), 291. https://doi.org/10.24874/IJQR15.01-17 Search in Google Scholar

Popkova, E. G., Inshakova, A. O., & Sergi, B. S. (2021). Venture capital and Industry 4.0: The G7’s versus BRICS’experience. Thunderbird International Business Review, 63(6), 765-777. https://doi.org/10.1002/tie.22235 Search in Google Scholar

Radanliev, P., De Roure, D., Van Kleek, M., Santos, O., & Ani, U. (2021). Artificial Intelligence in cyber physical systems. AI & Society, 36, 783-796. https://doi.org/10.1007/s00146-020-01049-0 Search in Google Scholar

Rauch, E., Linder, C., & Dallasega, P. (2020). Anthropocentric perspective of production before and within Industry 4.0. Computers & Industrial Engineering, 139, 105644. https://doi.org/10.1016/j.cie.2019.01.018 Search in Google Scholar

Razmjooei, D., Alimohammadlou, M., Ranaei Kordshouli, H. A., & Askarifar, K. (2023). Industry 4.0 research in the maritime industry: A bibliometric analysis. WMU Journal of Maritime Affairs. https://doi.org/10.1007/s13437-022-00298-8 Search in Google Scholar

Rosario, A. T., & Dias, J. C. (2022). Industry 4.0 and marketing: Towards an integrated future research agenda. Journal of Sensor and Actuator Networks, 11(3), 30. https://doi.org/10.3390/jsan11030030 Search in Google Scholar

Soomro, M. A., Hizam-Hanafiah, M., Abdullah, N. L., Ali, M. H., & Jusoh, M. S. (2021). Embracing Industry 4.0: Empirical insights from Malaysia. Informatics, 8(2), 30. https://doi.org/10.3390/informatics8020030 Search in Google Scholar

Sordan, J., Oprime, P., Pimenta, M., Chiabert, P., & Lombardi, F. (2022). Industry 4.0: A bibliometric analysis in the perspective of operations management. Operations and Supply Chain Management: An International Journal, 15(1), 93-104. https://doi.org/10.31387/oscm0480333 Search in Google Scholar

Twahirwa, E., Rwigema, J., & Datta, R. (2022). Design and deployment of vehicular Internet of things for smart city applications. Sustainability, 14(1), 176. https://doi.org/10.3390/su14010176 Search in Google Scholar

Vitanova, N. (2021). Internet of Things in education. Pedagogika-Pedadody, 93(5), 615-628. https://doi.org/10.53656/ped2021-5.02 Search in Google Scholar

Xu, L.D., Xu, E.L., & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941–2962. https://doi.org/10.1080/00207543.2018.1444806 Search in Google Scholar

Yang, Y., Gai, T., Cao, M., Zhang, Z., Zhang, H., & Wu, J. (2023). Application of group decision making in shipping Industry 4.0: Bibliometric analysis, trends, and future directions. Systems, 11(2), 69. https://doi.org/10.3390/systems11020069 Search in Google Scholar

Zauskova, A., Kusá, A., Kubovics, M., Scepkova, S., & Miklencicova, R. (2022). Awareness of Industry 4.0 and its tools across the V4 countries, Serbia and Bulgaria. Serbian Journal of Management, 17(1), 253-264. https://doi.org/10.5937/sjm17-36472 Search in Google Scholar

Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent manufacturing in the context of industry 4.0: a review. Engineering, 3(5), 616-630. https://doi.org/10.1016/J.ENG.2017.05.015 Search in Google Scholar

eISSN:
2256-0173
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Business and Economics, Political Economics, other, Business Management, Law, Commercial Law, Social Sciences, Education