Computer-based systematic execution model on human resources management in maritime transportation industry: The case of master selection for embarking on board merchant ships

被引:21
作者
Celik, Metin [1 ]
Er, I. Deha [2 ]
Topcu, Y. Ilker [3 ]
机构
[1] Istanbul Tech Univ, Maritime Fac, Dept Maritime Transportat & Management Engn, TR-34940 Istanbul, Turkey
[2] Istanbul Tech Univ, Maritime Fac, Dept Marine Engn, TR-34940 Istanbul, Turkey
[3] Istanbul Tech Univ, Dept Ind Engn, TR-34367 Istanbul, Turkey
关键词
Human resources management; Seafarers employment; Information technology; STCW requirements; Analytic Network Process; ANALYTIC NETWORK PROCESS; DECISION-SUPPORT-SYSTEM; PERSONNEL-SELECTION; PROCESS ANP; FRAMEWORK; BUSINESS; EVOLUTION; DSS;
D O I
10.1016/j.eswa.2007.11.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Human resources management (HRM) have been increased its functionality and popularity in the shipping business, due to the expeditiously changes in technology, market strategies, risks and challenges in transportation industry. Despite the requirements of International Convention on Standards of Training. Certification and Watchkeeping for Seafarers (STCW), held by International Maritime Organization (IMO), especially the quality and competency of personnel who are being employed on board ships arc primarily issue of shore-based ship management organizations. This paper proposes an extendable and applicable model based on Analytic Network Process to support the personnel selection facilities of crewing departments in ship management companies, The priorities of evaluation factors are outlined for employing the Master, the most significant and key personnel on board merchant ships, as a case application in this study. Consequently, the results are elaborated to construct a scheme on evaluating of job applications for embarking Master on board ships. The model can be achieved to modify for carrying Out to evaluate the employment criteria for other ranks on board ships as a further study. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1048 / 1060
页数:13
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