[
Aceto, G., Persico, V., Pescapé, A., 2019. A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges. IEEE Communications Surveys & Tutorials, 21(4), 3467-3501.
]Search in Google Scholar
[
Adepoju, O., O., Aigbavboa, C., O., 2021. Assessing knowledge and skills gap for construction 4.0 in a developing economy. Journal of Public Affairs, 21(3), e2264.
]Search in Google Scholar
[
Ahrens, D., Spöttl, G., 2015. Industrie 4.0 und Herausforderungen für die Qualifizierung von Fachkräften. In Digitalisierung industrieller Arbeit. Nomos Verlagsgesellschaft mbH & Co. KG.
]Search in Google Scholar
[
Amor, A., M., 2023. Reinventing Human Resources Through Digitalization. In Managing Technology Integration for Human Resources in Industry 5.0, IGI Global.
]Search in Google Scholar
[
Ávila-Gutiérrez, M., J., Suarez-Fernandez De Miranda, S., Aguayo-González, F., 2022. Occupational Safety and Health 5.0—A Model for Multilevel Strategic Deployment Aligned with the Sustainable Development Goals of Agenda 2030. Sustainability 14, 6741. DOI: 10.3390/su14116741
]Search in Google Scholar
[
Azeem, M., Haleem, A., Javaid, M., 2022. Symbiotic relationship between machine learning and Industry 4.0: A review. Journal of Industrial Integration and Management, 7(03), 401-433. DOI: 10.1142/S2424862221300027
]Search in Google Scholar
[
Baldissone, G., Comberti, L., Fargione, P., Maida, L., Nebbia, R., 2018. The role of basic and applied research activities for the improvement of OS&H conditions and the dissemination of the Culture of Safety. Geam-Geoingegneria Ambientale E Mineraria-Geam-Geoengineering Environment and Mining, 154, 32-41.
]Search in Google Scholar
[
Barata, J., Kayser, I., 2023. Industry 5.0–Past, Present, and Near Future. Procedia Computer Science, 219, 778-788.
]Search in Google Scholar
[
Barata, J., Kayser, I., 2023. Industry 5.0–Past, Present, and Near Future. Procedia Computer Science, 219, 778-788.
]Search in Google Scholar
[
Bilberg, A., Malik, A., A., 2019. Digital twin driven human–robot collaborative assembly. CIRP annals, 68(1), 499-502.
]Search in Google Scholar
[
Brauner, P., Ziefle, M. 2022. Beyond playful learning–Serious games for the human-centric digital transformation of production and a design process model. Technology in Society, 71, 102140.
]Search in Google Scholar
[
Breque, M., De Nul, L., Petridis, A., 2022. Industry 5.0 Towards a Sustainable, Human Centric and Resilient European Industry; p. 14. European Commission, Brussels,
]Search in Google Scholar
[
Campero-Jurado, I., Márquez-Sánchez, S., Quintanar-Gómez, J., Rodríguez, S., Corchado, J. M., 2020. Smart helmet 5.0 for industrial internet of things using artificial intelligence. Sensors, 20(21), 6241.
]Search in Google Scholar
[
Chen, X., Eder, M. A., Shihavuddin, A., S., M., 2020. A concept for human-cyber-physical systems of future wind turbines towards Industry 5.0. Manuscript submitted for publication.
]Search in Google Scholar
[
Chiabert, P., D’Antonio, G., Maida, L., 2018. Industry 4.0: technologies and OS&H implications. Geam-Geoingegneria Ambientale E Mineraria-Geam-Geoengineering Environment and Mining, (154), 21-26.
]Search in Google Scholar
[
Colim, A., Carneiro, P., Carvalho, J. D., Teixeira, S., 2022. Occupational safety & ergonomics training of future industrial engineers: A project-based learning approach. Procedia Computer Science, 204, 505-512.
]Search in Google Scholar
[
Demir, K. A., Döven, G., Sezen, B., 2019. Industry 5.0 and human-robot coworking. Procedia computer science, 158, 688-695.
]Search in Google Scholar
[
EC European Commission, 2021. Revision of the Renewable Energy Directive: Fit for 55 package. Available online: https://www.europarl.europa.eu/Reg-Data/etudes/BRIE/2021/698781/EPRS_BRI(2021)698781_EN.pdf (accessed on 27 March 2023).
]Search in Google Scholar
[
EC, European Commission, 2022. Industry 5.0. Towards a Sustainable, Humancentric and Resilient European Industry. Available online: https://op.europa.eu/en/publication-detail/-/publication/468a892a-5097-11eb-b59f-01aa75ed71a1/ (accessed on March 27 2023).
]Search in Google Scholar
[
Ejdys, J., 2017. Determinanty zaufania do technologii, Przegląd organizacji, 12 (935, 20-27.
]Search in Google Scholar
[
Friedman, B., Hendry, D., G., 2019. Value sensitive design: Shaping technology with moral imagination. Mit Press.
]Search in Google Scholar
[
Graczyk-Kucharska, M., Szafranski, M., Golinski, M., Spychala, M., Borsekova, K., 2018. Model of competency management in the network of production enterprises in industry 4.0—Assumptions. In Advances in Manufacturing. Springer International Publishing.
]Search in Google Scholar
[
Jones, A. T., Romero, D., Wuest, T., 2018. Modeling agents as joint cognitive systems in smart manufacturing systems. Manufacturing Letters, 17, 6-8.
]Search in Google Scholar
[
Kazancoglu, Y., Ozkan-Ozen, Y. D., 2018. Analysing Workforce 4.0 in the Fourth Industrial Revolution and proposing a road map from operations management perspective with fuzzy DEMATEL. Journal of enterprise information management.
]Search in Google Scholar
[
Lasi, H., Fettke, P., Kemper, H., G., Feld, T., Hoffmann, M., 2014. Industrie 4.0. Wirtschaftsinformatik, 56, 261-264. DOI: 10.1007/s11576-014-0424-4
]Search in Google Scholar
[
Laurent, A., 2023. Towards Process Safety 4.0 in the Factory of the Future. John Wiley & Sons.
]Search in Google Scholar
[
Lee, J., J., Meng, J., 2021. Digital competencies in communication management: A conceptual framework of Readiness for Industry 4.0 for communication professionals in the workplace. Journal of Communication Management, 25(4), 417-436.
]Search in Google Scholar
[
Lemos, J., Gaspar, P., D., Lima, T., M., 2022. Environmental risk assessment and management in industry 4.0: a review of technologies and trends. Machines, 10(8), 702.
]Search in Google Scholar
[
Li, G., Yuan, C., Kamarthi, S., Moghaddam, M., Jin, X., 2021. Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis. Journal of Manufacturing Systems, 60, 692-706.
]Search in Google Scholar
[
Lippert, S., K., 2001. An exploratory study into the relevance of trust in the context of information systems technology. The George Washington University.
]Search in Google Scholar
[
Longo, F., Padovano, A., 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 future. Applied Sciences, 10(12), 4182.
]Search in Google Scholar
[
Lopez, M., A., Terron, S., Lombardo, J., M., Gonzalez-Crespo, R., 2021. Towards a solution to create, test and publish mixed reality experiences for occupational safety and health learning: Training-MR.
]Search in Google Scholar
[
Luthra, S., Mangla, S., K., 2018. Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies. Process Safety and Environmental Protection, 117, 168-179.
]Search in Google Scholar
[
Maddikunta, P., K., R., Pham, Q., V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T. R., Liyanage, M., 2022. Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26, 100257. DOI: 10.1016/j.jii.2021.100257
]Search in Google Scholar
[
Małysa, T., 2022. Application of Forecasting as an Element of Effective Management in the Field of Improving Occupational Health and Safety in the Steel Industry in Poland. Sustainability, 14(3), 1351.
]Search in Google Scholar
[
Martynov, V., V., Shavaleeva, D., N., Zaytseva, A., A., 2019. Information technology as the basis for transformation into a digital society and industry 5.0. In 2019 International Conference “Quality Management, Transport and Information Security, Information Technologies”(IT&QM&IS) 539-543, IEEE.
]Search in Google Scholar
[
Matheson, E., Minto, R., Zampieri, E., G., Faccio, M., Rosati, G., 2019. Human–robot collaboration in manufacturing applications: A review. Robotics, 8(4), 100. DOI: 10.3390/robotics8040100
]Search in Google Scholar
[
Melnyk, L., Kubatko, O., Matsenko, O., Balatskyi, Y., Serdyukov, K., 2023. Transformation of the human capital reproduction in line with Industries 4.0 and 5.0.
]Search in Google Scholar
[
Mohelska, H., Sokolova, M., 2018. Management approaches for Industry 4.0–the organisational culture perspective. Technological and economic development of economy, 24(6), 2225-2240.
]Search in Google Scholar
[
Nahavandi, S., 2019. Industry 5.0-A Human-Centric Solution. Sustainability, 11, 4371. DOI: 10.3390/su11164371
]Search in Google Scholar
[
Neumann, E. M., Vogel-Heuser, B., Haben, F., Krüger, M., Wieringa, T., 2022. Introduction of an Assistance System to Support Domain Experts in Programming Low-code to Leverage Industry 5.0. IEEE Robotics and Automation Letters, 7(4), 10422-10429.
]Search in Google Scholar
[
Nickel, P., 2023. Human Factors in Interface Design of Electronic Control Systems for Mechanical Equipment in Stage and Studio Automation. In International Conference on Human-Computer Interaction, 184-193. Cham: Springer Nature Switzerland.
]Search in Google Scholar
[
Pan, Y., 2016. Heading toward artificial intelligence 2.0. Engineering, 2(4), 409-413.
]Search in Google Scholar
[
Pfeiffer, S., Lee, H. S., Zirnig, C., Suphan, A., 2016. Industrie 4.0: Qualifizie-rung 2025. Frankfurt am Main: VDMA.
]Search in Google Scholar
[
Pillai, S., G., Haldorai, K., Seo, W., S., Kim, W., G., 2021. COVID-19 and hospitality 5.0: Redefining hospitality operations. International Journal of Hospitality Management, 94, 102869.
]Search in Google Scholar
[
Pistolesi, F., Lazzerini, B., 2020. Assessing the risk of low back pain and injury via inertial and barometric sensors. ieee transactions on industrial informatics, 16(11), 7199-7208.
]Search in Google Scholar
[
Prassida, G., F., Asfari, U., 2022. A conceptual model for the acceptance of collaborative robots in industry 5.0. Procedia Computer Science, 197, 61-67.
]Search in Google Scholar
[
Rada, M., 2020. Industry 5.0 definition. Available online: https://michaelrada.medium.com/industry-5-0-definition-6a2f9922dc48 (accessed on March 27 2023).
]Search in Google Scholar
[
Ramos, D., Cotrim, T., Arezes, P., Baptista, J., Rodrigues, M., Leitão, J., 2022. Frontiers in occupational health and safety management. International journal of environmental research and public health, 19(17), 10759.
]Search in Google Scholar
[
Rojko, K., Erman, N., Jelovac, D., 2020. Impacts of the Transformation to Industry 4.0 in the Manufacturing Sector: The Case of the US. Organizacija, 53(4), 287-305.
]Search in Google Scholar
[
Romero, D., Stahre, J., 2021. Towards the resilient operator 5.0: the future of work in smart resilient manufacturing systems. Procedia CIRP, 104, 1089-1094. DOI: 10.1016/j.procir.2021.11.183.
]Search in Google Scholar
[
Saniuk, S., Grabowska, S., 2022a. Development of Knowledge and Skills of Engineers and Managers in the era of Industry 5.0 in the light of expert research. Scientific Papers of Silesian University of Technology, 158, DOI:10.29119/1641-3466.2022.158.35
]Search in Google Scholar
[
Saniuk, S., Grabowska, S., Grebski, W., 2022b. Knowledge and Skills Development in the Context of the Fourth Industrial Revolution Technologies: Interviews of Experts from Pennsylvania State of the USA. Energies, 15(7), 2677.
]Search in Google Scholar
[
Santos, G., Sá, J.C., Félix, M., J., Barreto, L., Carvalho, F., Doiro, M., Zgodavová, K., Stefanović, M., 2021. New Needed Quality Management Skills for Quality Managers 4.0. Sustainability 13, 6149. DOI: 10.3390/su13116149.
]Search in Google Scholar
[
Schneider, P. 2018. Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field. Review of Managerial Science, 12(3), 803-848.
]Search in Google Scholar
[
Shamim, S., Cang, S., Yu, H., Li, Y., 2016. Management approaches for Industry 4.0: A human resource management perspective. In 2016 IEEE congress on evolutionary computation (CEC) (pp. 5309-5316). IEEE.
]Search in Google Scholar
[
Sheridan, T., B., 2016. Human–robot interaction: status and challenges. Human factors, 58(4), 525-532.
]Search in Google Scholar
[
Simonetto, M., Arena, S., Peron, M., 2022. A methodological framework to integrate motion capture system and virtual reality for assembly system 4.0 workplace design. Safety Science, 146, 105561.
]Search in Google Scholar
[
Sony, M., Mekoth, N., 2022. Employee adaptability skills for Industry 4.0 success: a road map. Production & Manufacturing Research, 10(1), 24-41.
]Search in Google Scholar
[
Sun, S., Zheng, X., Villalba-Díez, J., Ordieres-Meré, J., 2019. Indoor air-quality data-monitoring system: Long-term monitoring benefits. Sensors, 19(19), 4157.
]Search in Google Scholar
[
Vogl, G., W., Weiss, B., A., Helu, M., 2019. A review of diagnostic and prognostic capabilities and best practices for manufacturing. Journal of Intelligent Manufacturing, 30, 79-95.
]Search in Google Scholar
[
Voulgaridis, K., Lagkas, T., Sarigiannidis, P., 2022. Towards Industry 5.0 and Digital Circular Economy: Current Research and Application Trends. In 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS), 153-158. IEEE. DOI: 10.1109/DCOSS54816.2022.00037
]Search in Google Scholar
[
Wang, B., Zhou, H., Yang, G., Li, X., Yang, H., 2022. Human Digital Twin (HDT) driven human-cyber-physical systems: key technologies and applications. Chinese Journal of Mechanical Engineering, 35(1), 11. DOI: 10.1186/s10033-022-00680-w
]Search in Google Scholar
[
Xu, L., D., 2020. Industry 4.0—Frontiers of fourth industrial revolution. Systems Research and Behavioral Science, 37(4), 531-534. DOI: 10.1002/sres.2719
]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.
]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.
]Search in Google Scholar
[
Zhou, H., Yang, G., Lv, H., Huang, X., Yang, H., Pang, Z., 2019. IoT-enabled dual-arm motion capture and mapping for telerobotics in home care. IEEE journal of biomedical and health informatics, 24(6), 1541-1549.
]Search in Google Scholar
[
Zhou, J., Zhou, Y., Wang, B., Zang, J., 2019. Human–cyber–physical systems (HCPSs) in the context of new-generation intelligent manufacturing. Engineering, 5(4), 624-636. DOI: 10.1016/j.eng.2019.07.015.
]Search in Google Scholar