Ahmed, I., Jeon, G., Piccialli, F., 2022. From Artifical Intelligence to Explainable Artificial Intelligence in Industry 4.0: Survey on What, How, and Where, IEEE Transactions on Industrial Informatics 18 (8), 5031-5042, DOI: 10.1109/TII.2022.3146552
Benbasat, I., Goldstein, D.K., Mead, M., 1987. The case research strategy in studies of information systems, Management Information Systems Quarterly 11 (3), 369-386, DOI:10.2307/248684
Beverland M., Lindgreen A., 2010. What makes a good case study? A positivist review of qualitative case research published in Industrial Marketing Management 1971-2006, Industrial Marketing Management 39 (1), 53-63, DOI:10.1016/j.indmarman.2008.09.005
Chen, N., Liu, W., Bal, R., Chen, A., 2019. Application of computational Intelligence technologies in emergency management: a literature review, Artficial Intelligence Review 52 (3), 1-38, DOI: 10.1007/s10462-017-9589-8
Chen, X., Chang-Richards, A.Y., Pelosi, A., Shen, X., Siddlqul, M., K, Yang, N., 2022. Implementation of technologies in the construction industry: a systematic review, Engineering, Construction and Architectural Management 29 (8), 3181-3209, DOI: 10.1108/ECAM-02-2021-0172
Chlao, K-P., 2016. The multi-criteria group decision making methodology using type 2 fuzzy linguistic judgments, Applied Soft Computing Journal 49, 189-211, DOI: 10.1016/j.asoc.2016.07.050
Dickinson, J.K., Woodard, P., Canas, R., Ahamed, S., Lockston, D., 2011. Game-based trench safety education: Development and lessons learned, Electronical Journal of Information Technology in Construction 16, 119-134, ISSN: 1874-4753
Eisenhardt K.M., 1989. Building theories from case study research: Academy of management, The Academy of Management Review 14 (4), 532-550, DOI: 10.2307/258557
Ghobakhloo, M., Fathl, M., 2020. Corporate survival in Industry 4.0 era: the enabling role of lean-digitized manufacturing, Journal of Manufacturing Technology Management 31 (1), 1-30, DOI: 10.1108/JMTM-11-2018-0417
Goffin K., Ahlstrom P., Bianchi M., Richtner A., 2019. Perspective: State-ofthe-art: The quality of case study research in innovation management, Journal of Product Innovation Management, 36(5), 586-615, DOI: 10.1111/jpim.12492
Inayat I., Salim S.S., Marczak S., Daneva M., Shamshirband S., 2015. A systematic literature review on agile requirements engineering practices and challenges, Computers in Human Behavior 51 (B), 915-929, DOI: 10.1016/j.chb.2014.10.046
Jarvensivu T., Tornroos J.A., 2010. Case study research with moderate constructionism: Conceptualization and practical illustration, Industrial Marketing Management 39 (1), 100-108, DOI: 10.1016/j.indmarman.2008.05.005
Khan, A. A., Keung, J., 2016. Systematic review of success factors and barriers for software process improvement in global software development, IET SoftwareVolume 10, 5, 125 – 135, DOI:10.1049/iet-sen.2015.0038
Korner, U., Muller-Thur, K., Lunau, T., Dragano, N., Angerer, P., Buchner, A., 2019. Perceived stress in human-machine interaction in modern manufacturing environments – Results of a qualitative interview study, Stress and Health 35 (2), 187-199, DOI: 10.1002/smi.2853
Naveed, Q., N., Qureshi, M.R.N., Tairan, N., Mohammad, A., Shaikh, A., Alsayed, A.O.,, Shah, A., Alotalbl, F.M., 2020. Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making, PloS One 15 (5), DOI:10.1371/journal.pone.0231465
Pech, M., Vrchota, J., 2020. Classification of small- and medium-sized enterprises based on the level of Industry 4.0 Implementation, Applied Sciences 10 (15), 5150, DOI: 10.3390/app10155150
Sandhu, A.K., 2022. Big Data with Cloud Computing: Discussions and Challenges, Big Data Mining and Analytics 5 (1), 32-40, DOI: 10.26599/BDMA.2021.9020016
Senapathi M., Buchan, J., Osman, H., 2018. DevOps Capabilities, Practices, and Challenges: Insights from a Case Study, Proceedings of the 22nd International Conference on Evaluation and Assessment in Software Engineering 2018, June 2018, 57–67, DOI: 10.48550/arXiv.1907.10201
Shamshirl, R.R., Weltzlen, C., Hameed, I.A., Yule, I. J., Grift, T.E., Balasun-dram, S.K., Pitonakova, L., Ahmad, D., Chowdhary, G., 2018. Research and development in agricultural robotics: A perspective of digital farming, International Journal of Agricultural and Biological Engineering 11 (4), 1-14, DOI: 10.25165/ijabe.v11i4.4278
Siemens, 2021. Smart Industry Poland (in Polish), Ministry of Enterprise and Technology, Warsaw, Poland, https://www.siemens.com/pl/pl/ofirmie/raporty-siemens/smart-industry-polska-2021.html (access: 31.05.2023)
Singh, R.K., Kumar, P., Chand, M., 2019. Evaluation of supply chain coordination index in context to Industry 4.0 environment, Benchmarking 28 (5), 1622-1637, DOI: 10.1108/BIJ-07-2018-0204
Sinha, N., Singh, P., Gupta, M., Singh, P., 2020. Robotics at workplace: An Integrated Twitter analytics – SEM based approach for behavioral intention to accept, International Journal of Information Management 55, 102210, DOI: 10.1016/j.ijinfomgt.2020.102210
Stareček, A., Gyurák Babeľová, Z., Vraňaková, N., Jurík, L., 2023. The impact of Industry 4.0 implementation on required general competencies of employees in the automotive sector, Production Engineering Archives, 29(3), 254-262, DOI: 10.30657/pea.2023.29.29
Sujová, E., Bambura, R., Vysloužilová, D., Koleda, P., 2023. Use of the digital twin concept to optimize the production process of engine blocks manufacturing, Production Engineering Archives, 29(2), 168-174, DOI: 10.30657/pea.2023.29.20
Tsaramirsis, G., Kantaros, A., Al-Darrajl, I., Piromalis, D., Apostolopoulos, C., Pavlopoulou, A., Alrammal, M.,Ismail, Z., Buhari, S.M., Stojmenovic, M., Tamimi, H., Randhawa, P., Patel, A., Khan, F.Q., 2022. A Modern Approach towards an Industry 4.0 Model: From Driving Technologies to Management, Journal of Sensors 2022, 5023011, DOI: 10.1155/2022/5023011
Wachnik, B., 2022. Analysis of the use of artificial intelligence in the management of Industry 4.0 projects, The perspective of Polish industry, Production Engineering Archives 2022, 28(1), 56-63, DOI: 10.30657/pea.2022.28.07
Xu, K., 2019. First encounter with robot Alpha: How individual differences interact with vocal and kinetic cues in user’s social responses, New Media and Society 00(0), 1-26, DOI: 10.1177/1461444819851479