You are here

Home » Content

A HOLISTIC APPROACH FOR HR SELECTION AND PLACEMENT PROCESS: A MODEL PROPOSAL FOR MARITIME INDUSTRY

Journal Name:

  • Journal of Naval Sciences And Engineering

Publication Year:

  • 2017

Key Words:

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
Human resource management is one of the core functions and competences for companies operating in maritime transportation industry to enhance their sustainable competitive advantage in a dynamic business environment. Personnel selection and placement process considerably influences all areas and sub-functions of HRM regarding crew on board and thus it has been one of the most important topics in maritime HRM. This paper aims to propose a three-phase, integrated, comprehensible model that will provide an effective way and help the maritime companies in selecting the right person and placing him/her to the right job. In the first phase of the model, required and preferred skills and abilities of sailors are determined. In the second phase, how those skills and abilities are measured is established. In the third and last phase, a sound feedback and validation mechanism is established in order to validate the whole process, including developing a fuzzy complex multi-criteria mathematical model. This three-phase model based on a scientific approach is intended to be used by human resource managers as a decision support tool for choosing the right sailors.
Bookmark/Search this post with
Abstract (Original Language): 
Denizcilik sektöründe faaliyet göstermekte olan işletmeler için, dinamik bir iş ortamında sürdürülebilir rekabetçi avantajlarını korumak ve geliştirmek için, İnsan Kaynakları Yönetimi en temel fonksiyonlardan biridir. Personel seçme ve yerleştirme süreci de, özellikle gemi tayfası dikkate alındığında İnsan Kaynakları Yönetiminin diğer tüm alt süreçlerini önemli derecede etkilemektedir ve dolayısıyla denizcilik sektöründe en önemli İKY konularından biri haline gelmiştir. Bu çalışmada, denizcilik sektöründe faaliyet gösteren işletmelere, doğru insanı seçmek ve doğru pozisyona yerleştirmek için yardımcı olabilecek, üç safhalı, bütüncül ve geniş kapsamlı bir model önerilmektedir. Modelin ilk safhasında, denizciler için gerekli olan ve tercih edilen yetenek ve becerilerin belirlenmesi yer almaktadır. İkinci safhada ise, bu yetenek ve becerilerin nasıl ölçüleceği belirlenecektir. Modelin üçüncü ve son safhası ise, tüm sürecin geçerleme ve doğrulamasını sağlayacak olan süreci oluşturmakta ve bulanık mantığa dayalı karmaşık çok kriterli matematik bir model içermektedir. Üç safhadan oluşan bu model, doğru denizcileri seçmek üzere insan kaynakları yöneticileri tarafından kullanılabilecek, bilimsel yönteme dayalı bir karar destek aracı sağlamayı amaçlamaktadır.
FULL TEXT (PDF): 
PDF icon arastirmax-holistic-approach-hr-selection-and-placement-process-model-proposal-maritime-industry.pdf
  • 2
1
13
  • Turkish

REFERENCES

References: 

[1] Kandakoğlu, A, Çelik, M., & Akgün, I. “A multi-methodological
approach for shipping registry selection in maritime transportation
industry”, Mathematical and Computer Modelling, Vol.49, pp.586-597,
2009.
[2] Çelik, M., Er, I.D., & Topçu, Y.I. “Computer-based systematic
execution model on human resources management in maritime
transportation industry: The case of master selection for embarking on board
merchant ships”, Expert Systems with Applications, Vol.36, pp.1048-1060,
2009.
[3] Jensses, J.I., & Randoy, T. “The performance effect of innovation in
shipping companies”, Maritime Policy and Management, Vol.33, No.4,
pp.327–343, 2006.
[4] Panayides, P. M. “Maritime policy, management and research: Role
and potential”, Maritime Policy and Management, Vol.33, No.2, pp.95–105,
2006.
[5] Çelik, M., Kandakoğlu, A., & Er, D.I. “Structuring fuzzy integrated
multi-stages evaluation model on academic personnel recruitment in MET
institutions”, Expert Systems with Applications, Vol.36, pp.6918-6927,
2009.
[6] Wu, B., Lai, K. H., & Cheng, T. C. “Emergence of ‘new
professionalism’ amongst Chinese seafarers: Empirical evidences and policy
A Holistic Approach for HR Selection and Placement Process: A Model
Proposal for Maritime Industry
13
implications”, Maritime Policy and Management, Vol.33, No.1, pp.35–48,
2006.
[7] Barnett, M.L. “Searching for the root causes of maritime casualties”,
WMU Journal of Maritime Affairs, Vol.4, No.2, pp.131-145, 2005.
[8] Toffoli, A., Lefevre, J. M., Bitner-Gregersen, E., & Monbaliu, J.
“Towards the identification of warning criteria: Analysis of a ship accident
database”, Applied Ocean Research, Vol.27, No.6, pp.281–291, 2005.
[9] Yousefi, H. & Seyedjavadin, R. “Crew resource management: The
role of human factors and bridge resource management in reducing
maritime casualties”, International Journal of Marine Navigation and Safety
of Sea Transportation, Vol.6, No.3, pp.391-396, 2012.
[10] Barsan, E., Surugiu, F., & Dragomir, C. “Factors of human resources
competitiveness in maritime transport”, International Journal on Marine
Navigation and Safety of Sea Transportation, Vol.6, No.1, pp.89-92, 2012.
[11] Lin, H.T. “Personnel selection using analytic network process and
fuzzy data envelopment analysis approaches”, Computers & Industrial
Engineering, Vol.59, pp.937-944, 2010.
[12] Li, K. X., & Wonham, J. “Who mans the world fleet? A follow-up to
the BIMCO/ISF manpower survey”, Maritime Policy and Management,
Vol.26, No.3, pp.295–303, 1999.
[13] Chien, C. F., & Chen, L. F. “Data mining to improve personnel
selection and enhance human capital: A case study in high-technology
industry”, Expert Systems with Applications, Vol.34, No.1, pp.280–290,
2008.
[14] Hogan, J., Barrett, P., & Hogan, R. “Personality measurement,
faking, and employment selection”, Journal of Applied Psychology, Vol.92,
No.5, pp.1270–1285, 2007.
[15] Leigh, I. W., Smith, I. L., Bebeau, M. J., Lichtenberg, J. W., Nelson,
P. D., Portnoy, S., Rubin, N. J., & Kaslow, N. J. “Competency assessment
models”, Professional Psychology: Research and Practice, Vol.38, No.5,
pp.463–473, 2007.

Thank you for copying data from http://www.arastirmax.com