Potential sociological impacts of unfair treatment of seafarers

Manuel, Michael Ekow

doi:10.1080/03088839.2010.533714

Cited by 11 publications

(7 citation statements)

References 10 publications

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“…Obando-Rojas, Gardner, and Naim 1999;Dinwoodie 2000;Thomas 2004;Mack 2007;Sambracos and Tsiaparikou 2001;Thomas, Sampson, and Zhao 2003;Li and Wonham 1999;Ellis, Bloor, and Sampson 2010;Manuel 2011;Sampson, Gekara, and Bloor 2011), with some quantitative attempts including modeling (e.g. Tsamourgelis 2009;Guo, Liang, and Ye 2006;Glen 2003) and empirical research (e.g.…”

Section: Methodsmentioning

confidence: 99%

Analysis of students’ perceptions of seafaring career in China based on artificial neural network and genetic programming

Fei

2014

Maritime Policy & Management

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Research indicates that the worldwide shortage of qualified seafarers has been due to the rapidly increasing world merchant fleet on the one hand and the difficulty of attracting and retaining people in the industry on the other. The paper argues that in the context of the Chinese shipping industry, the high "wastage" is one of the major contributors to the shortage. The aims of the research are to examine the motives of students studying nautical courses; identify the key factors affecting nautical students to choose seafaring career, and to predict students' career choice behavior. The research finds that (a) those who had a clear sense of their future career when enrolled in the nautical studies tend to choose a seafaring career and remain active for a longer period of time; (b) high wage is the most important factor affecting students' decisions to choose seafaring as a career; (c) prolonged separation from family, job opportunities ashore, and concern about children's growth and education are among the top three factors for students not to choose a seafaring career or to quit it early; and (d) nautical students' career choice behaviors can be predicted through the use of artificial neural network (ANN) and genetic programming (GP) with five rules being generated. This novel methodological approach, a combination of ANN and GP, has been proven to be effective in analyzing complex variables and in generating rules.

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Section: Methodsmentioning

confidence: 99%

Analysis of students’ perceptions of seafaring career in China based on artificial neural network and genetic programming

Fei

2014

Maritime Policy & Management

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“…Giving due priority to welfare would require seafarers to be given due respect and transformed as the subjects of the shipping industry [28]. Studies attribute denial of shore leave to a social agenda for dealing with perceived risk, with attendant sociological impacts and technical consequences [29].…”

Section: Shore Leavementioning

confidence: 99%

COVID-19 and seafarers’ rights to shore leave, repatriation and medical assistance: a pilot study

Hebbar

Mukesh

2020

International Maritime Health

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“…Accurate communication skills are especially important because of the many cultures and nationalities that work together (Macrae 2009;Manuel 2011). This creates language barriers and can increase the stress level on board (Rothblum et al 2002).…”

Section: Introductionmentioning

confidence: 98%

Common patterns in aggregated accident analysis charts from human fatigue-related groundings and collisions at sea

Akhtar

Utne

2014

Maritime Policy & Management

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Research has shown that there are potentially disastrous outcomes of human fatigue at sea. The conditions in which the seafarers have to operate are becoming more and more demanding. The study in this article attempts to aggregate accident charts derived from in-depth studies of human fatigue-related accidents to determine common patterns of interlinked fatigue factors. The accidents are analyzed by means of the Cognitive Reliability and Error Analysis Method (CREAM), which in the article has been modified for maritime accidents. The main fatigue factors identified are 'shift work', 'irregular working hours', 'inadequate task allocation', and 'excessive demands'. The study reveals several differences between ship collision and grounding accidents and their corresponding fatigue factors. Human fatigue-related collision accidents are characterized by wrong/badly timed decisions, misconceptions, and poor communication between the vessels. Right before the collision the crew is often panicking and mistakes are easily made. In human fatigue-related groundings, the conditions are often monotonous and the navigating officer has either overlooked the upcoming seabed or simply fallen asleep. Safety climate issues are also identified as important contributors to human fatigue.

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Potential sociological impacts of unfair treatment of seafarers

Cited by 11 publications

References 10 publications

Analysis of students’ perceptions of seafaring career in China based on artificial neural network and genetic programming

Analysis of students’ perceptions of seafaring career in China based on artificial neural network and genetic programming

COVID-19 and seafarers’ rights to shore leave, repatriation and medical assistance: a pilot study

Common patterns in aggregated accident analysis charts from human fatigue-related groundings and collisions at sea

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