Diese Arbeit ist gegen das Urteil vom Obersten Gericht(2005.4.15, 2004do8701) ausgebildet. Es geht hier um die Frage, welche Voraussetzungen notwendig sind, damit die dem wesentlichen Geschäft begleitende Geschäftssache unter dem Tatbestand des Geschäftshindernis subsumiert werden kann, besonders ob die einmalige Geschäftssache ebenso wie der Umzug der Fabrik in der Gesellschaft zum 'Geschäft' gehört, das im Strafrecht §314-Ⅰ bestimmt ist. Nach meiner Analysierung ist das Oberste Gericht der Auffassung, dáß die dem Hauptgeschäft begleitende einmalige Geschäftssache zum sogenannten 'Geschäft' gehört werden kann, wenn dieselbe zwei Bedingungen, erstens die enge Beziehung mit dem Hauptgeschäft und zweitens die Dauerhaftigkeit erfüllt. Es ist aber meiner Meinung, dáß solche Stellung des Obersten Gerichts problematisch in mancher Weise ist, und deshalb unannehmbar ist.

본 연구에서는 해운회사와 컨테이너터미널 간 전자적 정보공유를 촉진하고 활성화하는 요인들을 관련 이론 및 선행연구를 통해 추출하고 실증적으로 검증해 보는 것과 해운회사와 컨테이너터미널 간 전자적 정보공유의 정도가 성과에 어떠한 영향을 미치는 지를 해운회사의 입장에서 실증연구를 통해 규명해 보고자 하는 것을 목적으로 하였다. 연구 결과 첫째, 전자적 정보공유의 결정요인으로 최고경영자의 지원정도, 정보기술 인프라수준, 몰입, 의존성이 통계적으로 유의한 결과를 나타냄으로써 이러한 요인들이 해운회사와 컨테이너터미널 간의 전자적 정보공유에 영향을 미치는 것으로 검증된 반면, 신뢰는 전자적 정보공유에 유의한 영향을 미치지 않는 것으로 확인되었다. 둘째, 해운회사와 컨테이너터미널 간의 전자적 정보공유가 성과에 유의한 영향을 미치는 것으로 나타났다.

This study aims at suggesting a concepturla model of personnel elitism, and at evaluating the model based on a shipping company case. Specifically, it asks whether the company has met the conditions nessary for the attainment of personnel litism prescribed by the conceptural model. In order to evalutate the model, questionnaire and interview methods were adopted. The area of survey includes the quality of personnel , the efficiency level of work processes. and the level of work load. This study concludes that the rationalization of work processes and training and development of personnel are necessary for a company to realize personnel elitism.

In this paper, we codify the objective function that should be optimized by using Genetic Algorithm instead of Heuristic method to solve these problems. So, each bit that constitutes one structure can signify each commodity. Therefore, we can exchange customers without restriction if the traveling distance diminishes among the districts. Furthermore, even though the capacity of a customer's commodities exceeds that of a vehicle, the following vehicle can be allocated. Also, we obtained good result by testing with real data. To be brief, we can effectively allocate innumerable commodities, that have various magnitudes and weight, into restricted capacity of the vehicle by applying genetic algorithm that is useful in solving the problems of optimization.