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

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

Open Access
|Jun 2023

References

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. Freund, L., & Al-Majeed, S. (2021). Managing Industry 4.0 integration - the Industry 4.0 knowledge & technology framework. LogForum, 17(4), 569-586.
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. Vitanova, N. (2021). Internet of Things in education. Pedagogika-Pedadody, 93(5), 615-628. https://doi.org/10.53656/ped2021-5.02
  42. 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
  43. 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
  44. 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
  45. 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
Language: English
Page range: 1 - 16
Submitted on: Mar 2, 2023
Accepted on: May 22, 2023
Published on: Jun 28, 2023
Published by: University College of Economics and Culture
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2023 Jakub Michulek, Lubica Gajanova, published by University College of Economics and Culture
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.