海上运输事故:文献计量分析

Vicky Zampeta, Gregory Chondrokoukis
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引用次数: 0

摘要

目的:本文旨在通过现有资料,突出Web of Sciences数据库中专业文献中的海上运输事故风险管理概念。设计/方法/方法:关键字研究确定了本研究中设置的几个关键字以及它们出现在Web of Science数据库中的几个关键字。使用VOSviewer,我们主要关注的是识别和突出与“海上事故”和“与海上事故相关的其他问题”概念相关的最重要和最受质疑的词语。我们提取了456篇文章,划出了259个与上一阶段选择的关键词意义相似的关键词。研究结果:我们发现海上运输事故(MTA)的主题在文献中扩展有限。差距相当大,为进一步研究留下了空间。对关键词的分析证明了MTA、风险模型、安全性、管理组织等之间的联系。研究限制/实施:尽管对这一领域的兴趣越来越大,特别是在航运业高度发达的国家(中国的海事大学,伦敦,波兰等),但我们注意到相关研究仍处于起步阶段,特别是如果我们考虑到这一主题的会计方面。原创性价值:鉴于学术界对MTA问题的兴趣日益浓厚,本文只能是一系列MTA研究的开始。对于未来的研究,我们可以考虑使用更大的样本、更多的关键字和更多的数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maritime Transportation Accidents: A Bibliometric Analysis
Purpose: The article aims to highlight the concept of risk management in maritime transportation accidents in the specialized literature on the Web of Sciences database through existing materials. Design/methodology/ approach: The keyword study identifies several keywords as they have been set in this study and as they appear in the Web of Science database. Using VOSviewer our main concern is to identify and highlight the most essential and questioned words associated with the “maritime accidents” and “other issues related with maritime accidents” concept. We extracted 456 articles, underlined 259 keywords with the similar meaning to the keywords we have selected in the previous stage. Findings: We found that the maritime transportation accidents (MTA) topic has limited expansion in the literature. The gaps are considerably big leaving space for further research. The analysis of the keywords proves an interconnection between the MTA, the risk models, safety, management organization and more. Research limitations/implementations: Although there has been an increased interest in this field especially among countries with the shipping sector highly developed (maritime universities in China, London Poland, etc.), we have noticed that the related studies are still at the beginning, especially if we consider the accounting side of this subject. Originality value: The present article can only be the beginning of a set of studies in MTA, given that the issue has an increasing interest in academia. For future research, we can consider using a larger sample, more keywords, and additional databases.
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