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        검색결과 3

        1.
        2002.06 KCI 등재 구독 인증기관 무료, 개인회원 유료
        This paper discusses the analysis of financial ratios of the Korean coastal passenger shipping company 1997 and 2000. Coastal passenger shipping company shows a very high ratio of the fixed-assets because these shipping company own relatively expensive ships. The current debts are composed of short-term borrowings and lease and the ratio of the current debts is rather high considering to the size of shipping company. The equity ratio of passenger shipping company has recently been decreased, but the debt ratio has been increased. Both the profitability and activity ratios have grown worse in recent years. In order to improve the performance of coastal passenger shipping company, they should develop the leisure facilities and good items to attract travellers.
        4,600원
        2.
        2015.04 KCI 등재 서비스 종료(열람 제한)
        Korea is worldwide top manufacturer of offshore plant industry, while shown weakness in high-valued offshore plant service industry (OPSI). The governmental support policies and studies for fostering programs are centered on shipbuilding and engineering sector. On the other hand, offshore logistics service sector among the programs is neither included as governmental fostering support sectors nor ever-studied. Domestic shipping and logistics companies have many experience of handling various project, heavy-lift cargo and even super blocks on shipbuilding industry. However they are faced with lack of appropriate heavy carrier and others. So for their successful entering into offshore plant logistics market, systematic preparation, studies and supporting policies are highly recommended.
        3.
        2003.06 KCI 등재 서비스 종료(열람 제한)
        본 연구는 한중정기항로에서 국적선사 활성화 방안에 관한 실증연구이다. 본 연구를 위하여 한중항로의 국적정기선사, 중국적 정기선사, 3국적 정기선사 등의 종사자에 실문지 500매를 배포하여 290매 회수하였으며, 한중정기항로 국적선사 활성화 요인과 물동량 증대효과의 관련성을 검증하기 위하여 먼저, 설문문항의 신뢰성(Reliability)은 크론바하 알파(Cronbach's Alpha)에 의한 내적 일관성 검사법을 통하여 검정하였고, 독립변수의 구성타당성(Construct Validity)을 검정하기 위해서 변수들이 선형결합이라는 가정 하에 요인을 추출하는 주성분 법(Principal Components)을 이용한 요인분석(Factor Analysis)을 실시하였다. 그리고 연구가설을 검증하기 위하여 다변량 회귀분석(Multiple Regression Analysis)을 실시하였다.