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Purpose: The main objective of the research is to identify a competence gap in "Industry4.0" - the difference between the competencies currently acquired by students at universities with a technical and economic profile, and the competencies desired by companies from the industrial processing sector. Design/methodology/approach: Empirical material was obtained in two studies. The first survey was conducted among 120 companies in the industrial engineering sector, while the second was carried out among over a thousand students and graduates of economic and technical universities. Findings: This work contributes to an in-depth understanding of companies’ needs regarding “Manager 4.0” competencies, and enables the identification of existing educational gaps. Our research results show that there is a competence gap on the labour market in each of the analysed categories of competencies: social, personal, managerial, technical and professional. At the same time, some differences are visible between students of economic and technical universities. The findings of the study suggest the need to redesign student education programs at universities so as to provide interdisciplinary education taking into account key competencies for Industry 4.0. Research limitations/implications: We identified three limitations of our research, resulting both from the size of the research sample of the analyzed comapanies, the possible ambiguity of the respondents' understanding of the examined competences (ambiguity of their interpretations) and their mutual interdependencies, as well as the subjective assessment of the students themselves. Practical and social implications: The study indicated the need for specific employee competencies, the development of which requires interdisciplinary study programmes in areas including production engineering and management. Besieds, the results of our research are particularly important for adapting employee training systems. We assume that the development of new training programs best suited to the needs of the market (need for specific employee competencies) should be done through cooperation between companies in the industrial processing sector and the academic community. Originality/value: The conclusions of the research shed new light on requirements regarding managerial positions in companies from the industrial processing sector, by indicating the need to modify curricula at universities in selected areas of competence.
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Tom
Strony
665--685
Opis fizyczny
Bibliogr. 37 poz.
Twórcy
autor
- Poznań University of Economics and Business
autor
- Poznań University of Economics and Business
autor
- Poznań University of Economics and Business
Bibliografia
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- 2. Dębkowska, K., Godlewska, J., Olszewska, A.M., Tomaszuk, A., Tomaszewska, E.J., Widelska, U. (Eds.) (2017). Potrzeby pracodawców w zakresie wsparcia w kształceniu ustawicznym w zawodach deficytowych w województwie podlaskim [Employer needs in the scope of supporting lifelong learning for deficit professions in Podlaskie Voivodship]. Białystok: Wojewódzki Urząd Pracy w Białymstoku.
- 3. Erol, S., Jagera, A., Holda, P., Otta, K., Sihna, W. (2016). Tangible Industry 4.0: a scenario-based approach to learning for the future of production. Procedia CIRP, Vol. 54, pp. 13-18, doi: 10.1016/j.procir.2016.03.162.
- 4. Filipowicz, G. (2016). Competency management. Corporate and Personal Perspective, (Extended Edition II). Warsaw: Wolters Kluwer.
- 5. Gracel, J., Makowiec, M. (2018). Key competencies of a manager in the era of the fourth industrial revolution - industry 4.0. Acta Universitatis Nicolai Copernici Management.
- 6. Graczyk-Kucharska, M., Szafranski, M., Golinski, M., Spychala, M, Borsekova, K. (2018). Model of Competency Management in the networks of production enereprises in Industry 4.0 - Assumptions. In: A. Hamrol et al. (eds.), Advances in Manufacturing, Lecture Notes in Mechanical Engineering. Springer International Publishing.
- 7. Hecklau, F., Galeitzke, M., Flachsa, S., Kohlb, H. (2016). Holistic approach for human resource management in Industry 4.0. Procedia CIRP, Vol. 54, pp. 1-6.
- 8. Hecklau, F.,Orth, R., Kidschun, F., Kohl, H. (2017). Human Resources Management: Meta-Study - Analysis of Future Competencies in Industry 4.0. In: Proceedings of the Intarnational Conference on Intellectual Capital. Knowledge Management & Organizational Learning, pp. 163-174.
- 9. Imran, F., Kantola, J. (2018). Review of Industry 4.0 in the light of Sciotechnical System Theory and Competence - Based View: A future research agenda for the evolute approach. Internatioanl Conference on applied human factors and ergonomics. Springer, pp. 118-128.
- 10. Ismail, A., Hassan, R. (2019). Technical competencies in digital technology towards industrial revolution 4.0. Journal of Technical Education and Training, Vol. 11, No. 3, pp. 55-62.
- 11. Jerman, A., Bertoncelj, A., Dominic, G., Pejic Bach, M., Trnavcevic, A. (2020). Conceptual key competency model for smart factories in production processes. Organizacija, Vol. 53, pp. 68-79.
- 12. Jerman, A., Bertoncelj, A., Dominici G., Pejić Bach M, Trnavcević, A. (2020). Conceptual Key Competency Model for Smart Factories in Production Processes. Organizacija, Vol. 53, no.1, pp. 68-79. Retrieved from https://doi.org/10.2478/orga-2020-0005.
- 13. Jerman, A., Pejic Bach, M., Aleksic, A. (2019). Transformation towards smart factory system: Examining new job profiles and competencies. Syst Res Behav Sci., Vol. 37, pp. 388-402.
- 14. Jurek, P. (2012). Methods of measuring professional competencies. Warsaw: MPiPS.
- 15. Kusmin, K., Ley, T., Normak, P. (2017), Towards a data driven competency management platform for Industry 4.0. Proceedings of the Workshop Papers of i-Know, Vol. 2025, Graz: i-Know.
- 16. Levy-Leboyer, C.L. (1997). Competence Management. Balances of professional experience. Warsaw: Poltext.
- 17. Longo, F., Nicoletti, L., Padovano, A. (2017). Smart operations in industry 4.0: A human-centered approach to enhance operators’ capabilities and competencies within the new smart factory context. Computer & Industrial Engineering, Vol. 113, pp. 144-159.
- 18. Łapuńka, I., Marek-Kołodziej, K. (2017). Management 3.0 in industry 4.0. Entrepreneurship and Management, Vol. XVIII, Iss. 10, Part I, Wydawnictwo SAN, pp. 23-35.
- 19. Łupicka, A., Grzybowska, K. (2018). Key Managerial Competencies for Industry 4.0 - Practitioners’, Researchers' and Students' Opinions. Logistics and Transport, No. 3(39). doi: 10.26411/83-1734-2015-3-39-4-18.
- 20. Mdluli, S., Makhupe, O. (2017). Defining leadership competencies needed for the fourth industrial revolution: leadership competencies 4.0. DukeCE.
- 21. Müller, J.M., Kiel, D., Voigt, K.I. (2018). What drives the implementation of industry 4.0? The role of opportunities and challenges in the context of sustainability. Sustainability, 10(1), 247, pp. 3-4.
- 22. Oleksyn, T. (1999). Competence management in the organization. In: A. Ludwiczyński (ed.), Training and development of employees and the success of the company. Warsaw: Polska Fundacja Promocji Kadr.
- 23. Padzik, K. (2013). Evaluation of employees. Warswa: ABC Publishing House.
- 24. Poszytek, P., Fila, J., Jeżowski, M. (2021). The 4.0 competencies as facilitators in the realization, management and sustainability of Erasmus+ projects in the times of COVID-19 pandemic. Systemics, Cybernetics And Informatics, Vol. 19, No. 6.
- 25. Prifti, L., Knigge, M., Kienegger, H., Kremar, H. (2017). A Competency model for "Industry 4.0" Employees. In: J.M. Leimeister, W. Brenner (eds.). Proceedings der 13. Interenationalen Tagung Wirtschaftsinformatik. St. Gallen, pp. 46-60.
- 26. Ribeiro, A., Amaral, A., Barros, T. (2021). Project Manager Competencies in the context of the Industry 4.0. Procedia Computer Science, Vol. 181, pp. 803-810.
- 27. Rof, A., Bikfalvi, A., Marques, P. (2022). Pandemic-accelerated Digital Transformation of a Born Digital Higher Education Institution: Towards a Customized Multimode Learning Strategy. Educational Technology & Society, Vol 25(1), pp. 124-141. Retrieved form https://www.jstor.org/stable/48647035.
- 28. Saniuk, S., Caganova, D., Saniuk, A. (2021). Knowledge and Skills of Industrial Employees and Managerial Staff for the Industry 4.0 Implementation. Mobile Networks and Applications. Retrieved form https://doi.org/10.1007/s11036-021-01788-4.
- 29. Shemshack, A., Spector, J.M. (2020). A Systematic literature review of personalized learning terms. Smart Learning Environments, Vol. 7(1). Retrieved form https://doi.org/10.1186/ s40561-020-00140-9.
- 30. Shet, S.V., Pereira, V. (2021). Proposed managerial competencies for Industry 4.0 - Implications for social sustainability. Technological Forecasting & Social Change, Vol. 173.
- 31. Simic, M., Nedelko, Z. (2019). Development of competencies model for industry 4.0: A theoretical approach. 37th International Scientific Conference on Economic and Social Development - „Socio Economic of Sustainable Development”. Baku, 14-15 February.
- 32. Sivathanu, B., Pillai, R. (2018). Smart HR 4.0 - how industry 4.0 is disrupting HR. Human Resource Management International Digest, Vol. 26(4), pp. 7-11.
- 33. Straka, G. (2004). Measurement and evaluation of competence. In: P. Descy, M. Tessaring (eds.), The foundations of evaluation and impact research. Third report on vocational training research in Europe: background report. Luxembourg: Office for Official Publications of the European Communities.
- 34. Śledziewska, K. (2020). What will work automation really look like? Retrieved from https://przemyslprzyszlosci.gov.pl/jak-naprawde-bedzie-wygladala-automatyzacja-pracy/.
- 35. Tommasi, F., Perini, M., Sartori, R. (2022). Multilevel comprehension for labor market inclusion: a qualitative study on experts’ perspectives on Industry 4.0 competencies. Education Training, Vol. 64, No. 2, pp. 177-189. doi: 10.1108/ET-04-2021-0146.
- 36. Treiblmaier, H., Madlberger, M., Knotzer, N., Pollach, I. (2004). Evaluating personalization and customization from an ethical point of view. An Empirical study. Proceedings of the Hawaii International Conference on System Sciences, Vol. 37, pp. 2831-2840.
- 37. Yasin, E.T. et al. (2021). Recent Scope for AI in the Food Production Industry Leading to the Fourth Industrial Revolution. Webology, 18(2), pp. 1066-1080. doi: 10.14704/web/ v18i2/web18375.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-08920a2f-fff9-48dd-bac5-f1a3fdedba99