The Selection of a Foreign Seafarer Supply Country for Korean Flag Vessels

다국어 초록 (Multilingual Abstract)

Maritime labor is currently and will continue to be a scarce resource; ship officer demand will reach 147,500 by 2025. To assure a stable supply of qualified foreign seafarers, this study aims to research and select a foreign seafarer supply country for Korean Flag vessels. Factors influencing the selection were identified, and these factors were assessed by Delphi, fuzzy, and fuzzy TOPSIS methods in order to make a selection from several countries. Via empirical analysis by the fuzzy method, the results show that the factor of “total crew costs” is the most significant, followed by “quality of seafarers’ education and training” and “supply ability for well-trained seafarers.” “government support from supply countries” is the least weighted factor for decision makers. The alternative countries assessment by fuzzy TOPSIS method suggests that the Philippines should be chosen as the dedicated foreign seafarer supply country for Korean Flag vessels, given the analysis of the strengths and weaknesses of these alternative foreign seafarer supply countries. Finally, some implications for continuous improvement of the seafarer supply countries are provided.

참고문헌 (Reference)

1 Zadeh, L. A., "fuzzy sets" 8 : 338-353, 1965

2 Tsai, H. Y., "fuzzy hierarchy sensitive with Delphi method to assess hospital organization performance" 37 : 5533-5541, 2010

3 Glen, D., "What do we know about the labor market for seafarers? A view from the UK" 32 : 845-855, 2008

4 Silos, J. M., "Trends in the global market for crews: a case research" 36 : 845-858, 2012

5 Ding, J.F., "The selections of employing seafarers for the national shipowners in Taiwan: an empirical research" 32 (32): 123-137, 2005

6 Lua, C.S., "The effect of safety climate on seafarers’safety behaviors in container shipping" 42 : 1999-2006, 2010

7 Othman, M. K., "The Malaysian Seafarers Psychological Distraction Assessment Using a TOPSIS Method" 3 : 40-50, 2015

8 Tsamourgelis, I, "Selective replacement of national by non-national seafarers in OECD countries and the employment function in the maritime sector" 36 (36): 457-468, 2009

9 Wu, B., "Participation in the global labor market: experience and responses of Chinese seafarers" 31 (31): 69-82, 2004

10 Eric Romelczyk, "Missing the tide? Workplace cultural differences as a barrier to seafarer mobility in the U.S. workboat and sail training sectors" Informa UK Limited 43 (43): 843-859, 2016

11 Lobrigo, E., "Maritime policy and the seafaring labor market" 14 : 123-139, 2015

12 Zhang, P., "Maritime Labour Convention, 2006 and the Chinese seafarers: How far is China to ratification?" 61 : 54-65, 2015

13 IMO, "Manpower report: the global supply and demand for seafarers in 2015" 2015

14 Caesar, L. D., "Exploring the range of retention issues for seafarers in global shipping: opportunities for further research" 14 : 141-157, 2015

15 Mitroussi, K., "Employment of seafarers in the EU context:Challenges and opportunities" 32 : 1043-1049, 2008

16 Wu, B., "Emergence of ‘new professionalism’ among Chinese seafarers: empirical evidence and policy implications" 33 (33): 35-48, 2006

17 Ying WANG, "Criteria for Evaluating Aerotropolis Service Quality" 한국해운물류학회 29 (29): 395-414, 2013

18 Wu, B., "Crew research of seafarers: a methodological approach to the global labor market for seafarers" 29 : 323-330, 2005

19 Akkaya, G., "An integrated fuzzy AHP and fuzzy MOORA approach to the problem of industrial engineering sector choosing" 42 : 9565-9573, 2015

20 Horck, J., "An analysis of decision-making processes in multicultural maritime scenarios" 31 (31): 15-29, 2004

21 Wang X.J., "A hierarchical fuzzy TOPSIS approach to assess improvement areas when implementing green supply chain initiatives" 51 (51): 3117-3130, 2013

22 Duru, O., "A fuzzy extended Delphi method for adjustment of statistical time series prediction: An empirical research on dry bulk freight market case" 39 : 840-848, 2012

23 Buyukozkan, G., "A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry" 39 : 2341-2354, 2012