Transformation of soft and hard skills of shipping specialists and improvement of the educational process
- Details
- Category: Content №5 2025
- Last Updated on 25 October 2025
- Published on 30 November -0001
- Hits: 1824
Authors:
A. Shlapak*, orcid.org/0000-00018697-7039, Borys Grinchenko Kyiv Metropolitan University, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
T. Obolenska, orcid.org/0000-0002-8448-3622, Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine
O. Aksyonova, orcid.org/0000-0003-0380-9035, PrJSC HEI Interregional Academy of Personnel Management, Kyiv, Ukraine
B. Singh, orcid.org/0009-0000-0632-5314, National University “Odesa Maritime Academy”, Odesa, Ukraine
B. Gnatyuk, orcid.org/0009-0000-3125-9283, National University “Odesa Maritime Academy”, Odesa, Ukraine
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2025, (5): 227 - 235
https://doi.org/10.33271/nvngu/2025-5/227
Abstract:
Purpose. To establish the prerequisites and justify the directions of change in the soft and hard skills of human resources of the global maritime industry and to identify the current tasks of forming the skills of Ukrainian seafarers.
Methodology. The data analysis method indicated that Ukrainian seafarers form a significant share of the command staff of the merchant fleets of the EU. Logical analysis has shown that this not only demonstrates the success of Ukrainian maritime education, but is also a factor in the country’s loss of human capital. The qualitative analysis method confirmed the break in the trend of diversification of work functions and competencies of seafarers (WFCS). The comparative analysis method allowed identifying the features of the formation of skills of Ukrainian seafarers
Findings. The need to take into account the rate of change in seafarers’ skills and the need to coordinate it with the rate of change of other influencing factors is indicated. The factors that form the differences in the rate of change in the competencies of seafarers of the Ukrainian and world merchant fleets are indicated. The trend of diversification WFCS of seafarers is indicated. The high level of adaptability of personnel training in the Ukrainian system of higher maritime education and its impact on the provision of personnel for the Ukrainian and world merchant fleets is indicated.
Originality. The competence gap in the Ukrainian and global maritime industries and the trend of this gap widening have been identified. It has been proven that this creates a permanent loss of human capital by the country on a significant scale.
Practical value. The features of the formation of the skills of Ukrainian seafarers and the challenges they form for the country’s fleet are indicated, which will allow the introduction of measures to neutralize negative impacts.
Keywords: human resources, human capital, maritime industry, shipping, soft and hard skills
References.
1. Ichimura, Y., Dalaklis, D., Kitada, M., & Christodoulou, A. (2022). Shipping in the era of digitalization: Mapping the future strategic plans of major maritime commercial actors. Digital Business, 2(1), 100022. https://doi.org/10.1016/j.digbus.2022.100022
2. Pipchenko, O. D., & Kovtunenko, D. (2020). A suggestion of an application of blended learning in MET through a harmonized STCW model. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 14. https://doi.org/10.12716/1001.14.03.04
3. Zayed, N. M., Edeh, F. O., Darwish, S., Islam, K. M. A., Kryshtal, H., Nitsenko, V., & Stanislavyk, O. (2022). Human Resource Skill Adjustment in Service Sector: Predicting Dynamic Capability in Post COVID-19 Work Environment. Journal of Risk and Financial Management, 15(9), 402. https://doi.org/10.3390/jrfm15090402
4. Zayed, N. M., Edeh, F. O., Islam, K. M. A., Nitsenko, V., Polova, O., & Khaietska, O. (2022). Utilization of Knowledge Management as Business Resilience Strategy for Microentrepreneurs in Post-COVID-19 Economy. Sustainability, 14, 15789. https://doi.org/10.3390/su142315789
5. Kuntasa, T., & Lirn, T. C. (2023). A conceptual model of autonomous ship remote operators’ competency. The Journal of Navigation, 76(6), 653-674. https://doi.org/10.1017/S0373463324000055
6. Narayanan, S. C., Emad, G. R., & Fei, J. (2023). Theorizing seafarers’ participation and learning in an evolving maritime workplace: an activity theory perspective. WMU Journal of Maritime Affairs, 22(2), 165-180. https://doi.org/10.1007/s13437-023-00311-8
7. Zaderei, A. (2020). Ensuring the sustainability of the human resources management system of maritime industry enterprises. Access: Access to Science, Business, Innovation in Digital Economy, 1(2), 146-156. https://doi.org/10.46656/access.2020.1.2(6)
8. Fan, S., Shi, K., Weng, J., & Yang, Z. (2025). Letting losses be lessons: Human-machine cooperation in maritime transport. Reliability Engineering & System Safety, 253, 110547. https://doi.org/10.1016/j.ress.2024.110547
9. Baum-Talmor, P., & Kitada, M. (2022). Industry 4.0 in shipping: Implications to seafarers’ skills and training. Transportation Research Interdisciplinary Perspectives, 13, 100542. https://doi.org/10.1016/j.trip.2022.100542
10. Karatuğ, Ç. (2025). An evaluation of future skills required for smart ships’ efficient operations. WMU Journal of Maritime Affairs, 1-23. https://doi.org/10.1007/s13437-025-00367-8
11. Bogusławski, K., Gil, M., Nasur, J., & Wróbel, K. (2022). Implications of autonomous shipping for maritime education and training: the cadet’s perspective. Maritime Economics & Logistics, 24, 327-343. https://doi.org/10.1057/s41278-022-00217-x
12. Fan, S., & Yang, Z. (2023). Analysing Seafarer Competencies in a Dynamic Human-Machine System. Ocean & Coastal Management, 240, 106662. https://doi.org/10.1016/j.ocecoaman.2023.106662
13. Kilpi, V., Solakivi, T., & Kiiski, T. (2021). Maritime sector at verge of change: learning and competence needs in Finnish maritime cluster. WMU Journal of Maritime Affairs, 20, 63-79. https://doi.org/10.1007/s13437-021-00228-0
14. Veltsin, N., Chountalas, P. T., Koutsouki, E., Karvounidi, M. D., & Fousteris, A. E. (2025). Modeling human critical success factors for maritime safety: a DEMATEL approach. Safety Science, 189, 106886. https://doi.org/10.1016/j.ssci.2025.106886
15. Li, X., Seah, R., Wang, X., & Yuen, K.F. (2022). Investigating the role of sociotechnical factors on seafarers’ psychological capital and mental well-being. Technology in Society, 71, 102138. https://doi.org/10.1016/j.techsoc.2022.102138
16. Shlapak, A., Yatsenko, O., Ivashchenko, O., Zarytska, N., & Osadchuk, V. (2023). Digital transformation of international trade in the context of global competition: technological innovations and investment priorities. Financial and credit activity problems of theory and practice, 6(53), 334-347. https://doi.org/10.55643/fcaptp.6.53.2023.4241
17. Aksyonova, O., & Yatsenko, O. (2025). Dilemma of intercultural communication and countermeasures in international trade. Herald UNU. International Economic Relations and World Economy, 54, 7-11. https://doi.org/10.32782/2413-9971/2025-54-1
18. Sienko, O., Singh, B. K., & Gnatyuk, B. (2025). Transforming Human Capital: New Skill Demands in the Digital Maritime Industry. Zenodo. https://doi.org/10.5281/zenodo.14648381
19. ChartingTheGlobe (2025). Average age of other merchant ships by country. Retrieved from https://chartingtheglobe.com/region/gibraltar/transport/merchant-fleet-owner?indicator=other-ships-average-vessel-age®ions=233
20. UNCTAD (2024). Review of Maritime Transport 2024. Retrieved from https://unctad.org/publication/review-maritime-transport-2024
21. European Maritime Safety Agency (2024). Seafarer Statistics in the EU ‒ Statistical review. Retrieved from https://horizoneuropencpportal.eu/sites/default/files/2024-06/emsa-seafarers-statistics-in-eu-2022-2024.pdf
22. Labour Market Intelligence Scoping Report (2020). Maritime, U. K. Retrieved from https://maritimeuk.org/documents/782/MSC_LMI_Scoping_Report_-_August_2020.pdf
23. European Maritime Safety Agency (2024). EMSA Consolidated Annual Activity Report. Retrieved from https://www.emsa.europa.eu/publications.html
24. Global Maritime Professional (GMP) Body of Knowledge (2019). IAMU (International Association of Maritime Universities Retrieved from https://iamu-edu.org/wp-content/uploads/2019/09/IAMU_GMP-Body-of-Knowledge.pdf
25. International Association of Maritime Universities (IAMU) (2019). Global Maritime Professional. Body of knowledge. Retrieved from https://iamu-edu.org/wp-content/uploads/2019/09/IAMU_GMP-Body-of-Knowledge.pdf
Newer news items:
- Public-private partnership in the context of sustainable development in Ukraine - 25/10/2025 01:31
- Land management and land quality assessment tools for effective land resources management in the context of sustainable development - 25/10/2025 01:31
- Innovative determinants of postwar socialization of the Ukrainian economy - 25/10/2025 01:31
Older news items:
- Job satisfaction of employees working remotely: the role of organisational support - 25/10/2025 01:30
- Pareto improvement of global inclusive growth: the “Belt and road” model - 25/10/2025 01:30
- Innovation and technological unemployment in Ricardo’s theory of economic growth - 25/10/2025 01:30
- Education 4.0: innovative approaches to competence development in digital organizations - 25/10/2025 01:30
- Post-industrial transformations of society and their impact on the employment structure - 25/10/2025 01:30
- Methodological principles of forming a marketing GTM strategy for an IT product in the digital economy - 25/10/2025 01:30
- Sustainable development strategies for the construction industry of Ukraine: problems and prospects - 25/10/2025 01:30
- The role of the institutional environment in regulating innovative activities in the industry - 25/10/2025 01:30
- Legal aspects of information security in Ukraine in the conditions of European integration and war - 25/10/2025 01:30
- Empirical comparison of five deep learning architectures for GNSS time-series data forecasting - 25/10/2025 01:30



