A STUDY OF HUMAN ERROR FACTORS ON MARITIME ACCIDENT RATES IN MARITIME INDUSTRY
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Abstract
Human error is the result of human actions. It is an actual action in daily life that could cause an accident and an intentional infringement. The purpose of this research is to analyse three factors of human error, namely fatigue, communication, and lack of technical knowledge as the major contributors to the occurrence of accidents. In addition, it seeks to determine the relationship between these factors and accidents in the maritime industry. A number of 60 respondents from an oil and gas company, and a government agency located in Lumut, Perak, Malaysia participated in this research. The results show a strong positive relationship between the human factors which include fatigue, communication, and lack of knowledge towards the maritime accident rates. Among the three, the lack of technical knowledge is the highest contributing factor which could seriously cause accidents in the maritime industry.
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References
Airasian, P.W., & Gay, L.R. (2003). Educational research: Competencies for analysis and application. London: Prentice Hall.
Apostol-Mates, R., & Barbu, A. (2016). The human error-the main factor in marine accidents. Naval Academy Scientific Bulletin, 19(2), 451–454.
Cacciabue, P.C. (2013). Guide to applying human factors methods: Human error and accident management in safety-critical systems. London: Springer Science & Business Media.
Cortina, J.M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98. https://doi.org/10.1037//0021-9010.78.1.98
Dekker, S. (2017). The field guide to understanding “human error.” New York: CRC Press. https://doi.org/10.1201/9781315239675
Dhillon, B.S., & Liu, Y. (2006). Human error in maintenance: A review. Journal of Quality in Maintenance Engineering, 12(1), 21–36. https://doi.org/10.1108/13552510610654510
Gambatese, J.A., Hinze, J.W., & Haas, C.T. (1997). A tool to design for construction worker safety. Journal of Architectural Engineering, 3(1), 32–41. https://doi.org/10.1061/(ASCE)1076-0431(1997)3:1(32)
Green, M., & Senders, J. (2004). Human error in road accidents. Visual Expert. Retrieved 20 January 2017 from https://www.visualexpert.com/Resources/roadaccidents.html.
Hansen, F.D. (2007). Human error: A concept analysis. Journal of Air Transportation, 11(3), 61–77.
Hanzu-Pazara, R., Barsan, E., Arsenie, P., Chiotoroiu, L., & Raicu, G. (2008). Reducing maritime accidents caused by human factors using simulators in the training process. Journal of Maritime Research, 5(1), 3–18.
Hamid, A.R.A., Majid, M.Z.A., & Singh, B. (2008). Causes of accidents at construction sites. Malaysian Journal of Civil Engineering, 20(2).
Hetherington, C., Flin, R., & Mearns, K. (2006). Safety in shipping: The human element. Journal of Safety Research, 37(4), 401–411. https://doi.org/10.1016/j.jsr.2006.04.007
Hollnagel, E., & Goteman, O. (2004). The functional resonance accident model. Proceedings of Cognitive System Engineering in a Process Plant, 155–161.
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology.
Oluseye, O.O., & Ogunseye, O.O. (2016). Human factors as determinants of marine accidents in maritime companies in Nigeria. Journal of Maritime Research, 13(3). https://doi.org/10.9734/BJESBS/2016/29548
Puth, M.T., Neuhäuser, M., & Ruxton, G.D. (2014). Effective use of Pearson’s product– moment correlation coefficient. Animal Behaviour, 93, 183–189. https://doi.org/10.1016/j.anbehav.2014.05.003
Sharma, S.B., Yadav, R., & Dorothy, B.C. (2013). A study on human errors and classification of commonly prevalent errors in shipping operational practices. AMET International Journal of Management, July–December, 1–7.
STCW. (2011). International Convention on Standards of Training, Certification and Watchkeeping for Seafarers (STCW) 1978, as amended in 1995/2010. International Maritime Organisation, London.
Sullivan, G.M., & Artino Jr., A.R. (2013). Analyzing and interpreting data from Likert-type scales. Journal of Graduate Medical Education, 5(4), 541–542. https://doi.org/10.4300/JGME-5-4-18
Toffoli, A., Lefevre, J.M., Bitner-Gregersen, E., & Monbaliu, J. (2005). Towards the identification of warning criteria: Analysis of a ship accident database. Applied Ocean Research, 27(6), 281–291.