Cluster Analysis on the Management Performance of Major Shipping Companies in the World

국문 초록 (Abstract)

현재 경제 상황에서 세계 해운산업의 중요성은 매우 강조되고 있다. 최근 세계 경제 위기로 인해 전체 산업은 공급과 수요 측면에서 어려움에 직면에 하였으며 저효율 및 저수익 상황이라는 사실은 모든 이해 관계자들에게 불안감을 안겨주었다. 따라서 본 연구에서는 해운산업의 이해관계자에게 세계 주요 해운회사의 재무성과를 자세히 살펴볼 수 있도록 주요 해운회사의 재무성과를 클러스터로 분류하였다. Fuzzy-C Means 기법을 활용하였으며 Levene 테스트와 ANOVA 테스트를 통하여 클러스터링 결과의 견고성을 평가하였다. 그 결과 유동성, 지급 여력 및 수익성이 분류 상 중요한 기준 되는 것으로 도출되었으며 이러한 결과는 선별 된 운송 회사의 경쟁력 수준을 제시하고 있으며 클러스터에 속한 기업은 동일한 특성을 갖고 있으므로 클러스터 내 한기업 특성을 파악하면 나머지 기업의 특성도 파악할 수 있어서 투자 결정함에 있어서 중요한 판단 기준으로 활용할 수 있다.

다국어 초록 (Multilingual Abstract)

In the modern economic context, it is apparent that there is a strong focus on the importance of global shipping industry. Recently, the world economic crisis has negatively influenced the industry with regard to both supply and demand, which has seen almost no sign of recovery. The fact that the entire industry is operating with low efficiency and at a low profit state has made all stakeholders anxious. This research examines the financial performance of the world’s major shipping lines in order to give maritime stakeholders a closer look into the industry behind the ranking. Besides, the research evaluates the competitiveness of shipping companies in terms of financial ability and suggestions for strategic actions to stakeholders are provided. For these purposes, Fuzzy-C Means is used to cluster the selected lines into different groups based on their financial indices, namely liquidity, asset management, debt management and profitability. Levene’s tests which are then followed by ANOVA tests are also utilized to assess the robustness of the clustering outcomes. The results indicate that liquidity, solvency and profitability act as the main criteria in the classification problem.

목차 (Table of Contents)

• Abstract
• Ⅰ. Introduction
• Ⅱ. Literature Review
• III. Methodology
• IV. Data Analysis and Results
• V. Conclusion
• References
• 국문요약

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