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Österman C, Rose L. Assessing financial impact of maritime ergonomics on company level: a case study. Marit Policy Manag 2015, vol. 42, pp. 555-70. https://doi.org/10.1080/03088839.2014.904946.Search in Google Scholar
Grech MR, Horberry TJ, Koester T. Human factors in the maritime domain. CRC Press; 2019. https://doi.org/10.1201/9780429355417.Search in Google Scholar
American Bureau of Shipping (ABS). Guidance Notes on the Application of Ergonomics to Marine Systems. New York: 2013.Search in Google Scholar
MSC.1/Circ.1598 - Guidelines on Fatigue. International Maritime Organization - IMO; 2019.Search in Google Scholar
Delleman N, Boocock M, Kapitaniak B, Schaefer P, Schaub K. ISO/FDIS 11226: Evaluation of static working postures. Proc XIVth Trienn Congr Int Ergon Assoc 44th Annu Meet Hum Factors Ergon Assoc ’Ergonomics New Millenn 2000, pp. 442–3. https://doi.org/10.1177/154193120004403512.Search in Google Scholar
Reilly T. Ergonomics in sport and physical activity: Enhancing performance and improving safety. London: Routledge; 2010.Search in Google Scholar
ISO 6385:2016—Ergonomics principles in the design of work systems. International Organization for Standardization; 2016.Search in Google Scholar
MSC/Circ.982—Guidelines on Ergonomic Criteria for Bridge Equipment and Layout. International Maritime Organization - IMO; 2000.Search in Google Scholar
Guidance Notes on Ergonomic Design of Navigation Bridges. Houston: American Bureau of Shipping; 2018.Search in Google Scholar
ISO 8468:2007 Ships and marine technology – Ship’s bridge layout and associated equipment – Requirements and guidelines. ISO; 2007.Search in Google Scholar
Kasum J, Vladislavić K. Shipbuilding architecture and bridge ergonomics. In: Proceedings of the GIS Conference 2006; 2006 Jan 1; Šibenik, Croatia.Search in Google Scholar
Kongsvik T, Vedal Størkersen K, Antonsen S. The relationship between regulation, safety management systems and safety culture in the maritime industry. In: Steenbergen RDJ et al., eds. Safety, Reliability and Risk Analysis: Beyond the Horizon. London: Taylor & Francis Group; 2013.Search in Google Scholar
Zaib A;, Yin J;, Khan RU, Zaib A, Yin J, Khan RU. Determining Role of Human Factors in Maritime Transportation Accidents by Fuzzy Fault Tree Analysis (FFTA). J Mar Sci Eng 2022, Vol 10, Page 381 2022;10:381. https://doi.org/10.3390/JMSE10030381.Search in Google Scholar
Österman C, Rose L, Osvalder AL. Exploring maritime ergonomics from a bottom line perspective. WMU J Marit Aff 2010, vol. 9, pp. 153–68. https://doi.org/10.1007/BF03195172.Search in Google Scholar
Oldenburg M, Baur X, Schlaich C. Occupational risks and challenges of seafaring. J Occup Health 2010, vol. 52, pp. 249-56. https://doi.org/10.1539/JOH.K10004.Search in Google Scholar
Jepsen JR, Zhao Z, Pekcan C, Barnett M, Van Leeuwen WMA. Risk factors for fatigue in shipping, the consequences for seafarers’ health and options for preventive intervention. In: Barnes MR, Boyesen M, editors. Maritime Psychology: Research in Organizational and Health Behavior at Sea. Cham: Springer; 2017. p. 127–150. https://doi.org/10.1007/978-3-319-45430-6_6.Search in Google Scholar
Field A. Discovering statistics using IBM SPSS Statistics. 4th ed. London: SAGE Publications Ltd; 2009.Search in Google Scholar
Krstinić N, Medić D, Jelaska I, Bakota M. Reliability and validity of the questionnaire for examining the integration of ergonomic practice among seafarers. 11th Int. Marit. Sci. Conf., Split: 2025.Search in Google Scholar
Bryman A. Social research strategies. 6th ed. Oxford: Oxford University Press; 2021.Search in Google Scholar
Declaration of Helsinki—WMA—The World Medical Association n.d. Retrieved from https://www.wma.net/what-we-do/medical-ethics/declaration-of-helsinki/Search in Google Scholar
Wu B, Yip TL, Yan X, Guedes Soares C. Review of techniques and challenges of human and organizational factors analysis in maritime transportation. Reliab Eng Syst Saf 2022, vol. 219, p. 108249. https://doi.org/10.1016/J.RESS.2021.108249.Search in Google Scholar
Adumene S, Afenyo M, Salehi V, William P. An adaptive model for human factors assessment in maritime operations. Int J Ind Ergon 2022, vol. 89, p. 103293. https://doi.org/10.1016/J.ERGON.2022.103293.Search in Google Scholar
TIBCO® Data Science Service for TIBCO Spotfire® 14.1.0 n.d. Retrieved from https://docs.tibco.com/products/tibco-data-science-service-for-tibco-spotfire-14-1-0Search in Google Scholar
Hair J, Black WC, Babin BJ, Ralph E. Anderson S. Multivariate data analysis. 8th ed. Andover: Cengage Learning; 2018.Search in Google Scholar
Dillman DA, Smyth JD, Christian LM. Internet, phone, mail, and mixed‐mode surveys: The tailored design method. 4th ed. Hoboken, NJ: Wiley; 2014. https://doi.org/10.1002/9781394260645.Search in Google Scholar
Couper MP. Web surveys: A review of issues and approaches. Public Opin Q 2000, vol. 64, pp. 464–94. https://doi.org/10.1086/318641.Search in Google Scholar
Hatcher L. Advanced statistics in research: Reading, understanding, and writing up data analysis results. Russellville, AR: Shadow Finch Media; 2013.Search in Google Scholar
Bubalo T, Rajsman M, Škorput P. Methodological approach for evaluation and improvement of quality transport service in public road passenger transport. Teh Vjesn 2022, vol. 29, pp. 139-48. https://doi.org/10.17559/TV-20201031104641.Search in Google Scholar
Grigoroudis E. Preference disaggregation for measuring and analysing customer satisfaction: The MUSA method. Eur J Oper Res 2002, vol. 143, pp. 148-70. https://doi.org/10.1016/S0377-2217(01)00332-0.Search in Google Scholar
Guastello SJ. Human factors engineering and ergonomics: A systems approach. CRC Press; 2023.Search in Google Scholar