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Marine transportation is a critical component of global trade and commerce, with ports serving as key nodes for the movement of goods and people. However, navigating these ports can be hazardous, with the potential for accidents and incidents that can lead to loss of life, environmental damage, and economic disruption. This study investigates the impact of socioeconomic factors on the operational risk assessments and adoption of innovative navigational aids for better safety among marine pilots in Lagos ports. A mixed-methods approach is employed, combining surveys and interviews to collect data from a sample of marine pilots operating in Lagos ports. The study focuses on the decision-making process of marine pilots in high-risk environments, exploring how factors such as education level, income, and experience might influence their risk assessments and willingness to adopt new technologies. The study's findings have important implications for policies and programs aimed at promoting safer navigation practices in Lagos ports and improving the overall safety of marine operations. The results can also inform the design of training and education programs for marine pilots, as well as the development of new technologies and tools to support safe navigation.
Rocznik
Tom
Strony
903--910
Opis fizyczny
Bibliogr. 32 poz., rys., tab.
Twórcy
autor
- Redeemer University, Ede, Nigeria
autor
- Redeemer University, Ede, Nigeria
autor
- Redeemer University, Ede, Nigeria
Bibliografia
- 1. Arslan, Ö., Özkan, S., & Korkmaz, M. (2019). Risk assessment of marine pilotage services: A case study of the Marmara Sea. Journal of Navigation, 72(4), 856-871.
- 2. Awoyemi, A. O., Oni, A. A., & Afolabi, O. O. (2017). Determinants of electronic chart display and information system adoption among Nigerian marine pilots. Journal of Navigation, 70(6), 1144-1162.
- 3. Brannigan, C., & Nair, S. (2015). An exploratory study on the factors affecting the adoption of ECDIS by marine pilots. Journal of Navigation, 68(2), 323-337.
- 4. Chawla, A., & Chawla, R. (2019). Socio-economic factors influencing marine pilots’ risk perception and decision-making. WMU Journal of Maritime Affairs, 18(1), 47-64.
- 5. Chen, C., Liu, W., Wang, J., & Yu, J. (2019). Factors influencing ship operators' adoption of eco-navigation technology: Evidence from the Taiwan Strait. Transportation Research Part A: Policy and Practice, 120, 288-301.
- 6. Chen, C., Liu, W., Wang, J., & Yu, J. (2019). Factors influencing ship operators' adoption of eco-navigation technology: Evidence from the Taiwan Strait. Transportation Research Part A: Policy and Practice, 120, 288-301.
- 7. Chen, C., Liu, W., Wang, J., & Yu, J. (2019). Factors influencing ship operators' adoption of eco-navigation technology: Evidence from the Taiwan Strait. Transportation Research Part A: Policy and Practice, 120, 288-301.
- 8. Chen, Y., Hu, Q., & Wang, H. (2020). The role of perceived innovation attributes in the relationship between technology readiness and technology adoption. Journal of Business Research, 108, 166-174.
- 9. Cheng, J., & Li, J. (2018). Risk perception and management of marine pilots. Journal of Navigation, 71(2), 331-344.
- 10. Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research. Sage publications.
- 11. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
- 12. Formela K., Neumann T., Weintrit A. (2019) Overview of Definitions of Maritime Safety, Safety at Sea, Navigational Safety and Safety in General. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 13(2), doi:10.12716/1001.13.02.03, pp. 285-290.
- 13. Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field methods, 18(1), 59-82.
- 14. Hetherington, C., & Flin, R. (2014). Improving risk assessments in marine pilots through crew resource management training. Journal of Navigation, 67(4), 659- 670.
- 15. Hossain, M. J., Löfgren, K., & Andersson, E. (2019). Safety management system, safety culture and safety performance in the Bangladesh shipping industry. International Journal of Shipping and Transport Logistics, 11(2), 131-154.
- 16. Kou, Y., Wang, W., Li, H., Li, L., & Liu, Y. (2020). Analysis of the factors affecting the navigation safety of large container ships in the Port of Shanghai. Maritime Policy & Management, 47(5), 561-576.
- 17. Li, H., Zhang, H., Wang, X., & Du, X. (2018). Safety culture, risk perception, and safety performance in Chinese shipping operations. Safety Science, 101, 210-219.
- 18. Liao, C. C., Chen, Y. C., & Lee, Y. D. (2019). Assessing safety culture in maritime pilots and its effect on safety management systems. Maritime Policy & Management, 46(1), 20-35.
- 19. Oduntan, E. O., & Adebayo, S. O. (2017). Analysis of the factors affecting the efficiency of shipping operations in Nigerian ports. International Journal of Shipping and Transport Logistics, 9(6), 687-707.
- 20. Park, M., Cho, S. J., Kim, M., & Kim, S. (2018). Determinants of the adoption of intelligent transportation systems in the shipping industry. Journal of Marine Science and Engineering, 6(4), 126.
- 21. Tang, X., Li, C., & Li, S. (2018). Factors influencing Chinese marine pilots’ acceptance of e-navigation technology. Transportation Research Part F: Traffic Psychology and Behaviour, 55, 95-106.
- 22. Tjandra, E., & Wardhana, A. (2018). The impact of education and training on the performance of marine pilots. IOP Conference Series: Materials Science and Engineering, 420(1), 012056.
- 23. Wang, L., & Wang, X. (2018). An empirical study on the impact of social demographic factors on marine pilots' safety behavior. Journal of Marine Science and Application, 17(3), 365-370.
- 24. Weintrit, A, & Neumann, T. (2015). Safety of marine transport: Marine navigation and safety of sea transportation. CRC Press. 10.1201/b18515.
- 25. Yu, H., Zhang, X., Chen, J., Wang, H., & Wang, Y. (2018). Understanding the determinants of e-navigation adoption among Chinese seafarers: An extension of the technology acceptance model. Transportation Research Part A: Policy and Practice, 114, 151-164.
- 26. ran, C. and Vaidis, D. (2020). Risk-taking behavior in supply chain management: A systematic review and uture research directions. International Journal of Production Economics, 227, 107710.
- 27. Churchill Jr, G.A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64-73.
- 28. Creswell, J.W., & Plano Clark, V.L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage publications.
- 29. Hannock, J.M. (2015). The effect of compensation on risk-taking behavior: Evidence from the maritime industry. Marine Policy, 59, 135-142.
- 30. Park, Y., Kim, Y., Lee, J., & Lee, J. (2019). Developing a risk model for maritime supply chain security: Focusing on leading risk indicators. Sustainability, 11(8), 2246.
- 31. Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2003). Designing and managing the supply chain: Concepts, strategies, and case studies. McGraw-Hill.
- 32. Turedi, E. and Ozer-Caylan, N. (2021). The effect of safety culture on safety performance in the maritime industry Safety Science, 137, 105153.
Typ dokumentu
Bibliografia
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