본 연구는 부산항 컨테이너 터미널이 품질경영을 통한 경쟁력을 향상시키기 위하여 어떠한 서비스 품질경영활동들에 노력을 집중해야 하는지에 대한 실증적인 연구이다. 품질경영활동의 공통된 요소들과 이 요인들 간의 인과관계를 분석하여 결과를 해석하고 항만서비스 품질 경영 관리에 미치는 관리적 시사점을 제시하고 있다. 자료수집은 부산항 컨테이너 터미널의 종사자 170명을 대강으로 설문지와 개인면담을 통해 이루어졌으며, 측정변수의 신뢰성과 타당성을 분석하기 위해 Cronbach's α계수와 요인분석을 이용하였다. 그리고 품질경영시스템의 구성개념인 풀질경영의 원천과 활동, 그리고 성과간의 인과관계를 분석하기 위해서는 Amos4.0을 이용한 SEM을 실시하였다.

The purpose of this study is to explore the nature of the relationship between several factors representing perceived port service quality and the adaptability to the marketing strategy of container terminal. An empirical study was carried out to examine not only the determinants of port service quality using PZB's SERVQUAL model but also its implications to the service marketing strategy. The data investigating the determinants of port service quality were collected from 136 managers from shipping companies by the use of questionnaire method. Factor analysis and t-test were carried out to analyze the data. The results of this study were as follows ; First, Shipping companies perceive the port service quality on two the dimensions of personnel and material aspects. Second, Shipping companies put more emphasis on the reliance of port service quality even though the port authority offers good facilities and materials as parts of port shipping quality. Third, There is a significant relationship between the purchase intention and the customer satisfaction. These findings help not only to formulate service marketing strategy based on service quality but also to be a concept tool to enhance port service quality.

Service is the source of firm's competitive advantage in recent years. The importance of service quality in any service industry doesn't need to be disputed. Customers have expected the improvement of the quality of service they receive ,so providers are struggling to meet these expectations. This study aims at finding factors of service quality in passenger transportation. An empirical investigation and the measurement on the perceived Service Quality by customers in the passenger transportation system was carried out. The purpose of this study is to clarify the factors of service quality on the basis of service marketing concept. In order to fulfill the objectives, this paper combines research tools that include both empirical study and documentary research. Data was gathered from 239 passengers by the use of questionnaire. In this study, the established hypotheses were generated on the basis of the service quality evaluation (SERVQUAL) model. Research findings through empirical test are as follows. First, five service quality dimensions in passenger transportation are identical to SERVQUAL dimensions defined by Parasuraman, Zeithaml, and Berry in 1988. Second, demographic segments such as gender and age don't have significant different dimension of service quality. Third, there is no significant difference between groups by experiences such as price level, abroad tour and vehicle type in determinants of transportation service quality.

The importance of service quality in any service industry cannot be disputed. Shippers have increased expectations concerning the quality of shipping service they receive and carriers are struggling to meet these expectations. This struggle between shipper and carriers would suggest that there is room to improve much more understandings of how shipper define shipping service quality in the carriers' perspectives. This is an empirical investigation and study on the measurement of customer response and service quality as perceived by customer in the international transportation logistics system. The purpose of this study is to clarify factors of shipping service quality on the basis of service marketing concept. In order to fulfill the objectives, this paper combined research tools that include both empirical study and documentary research. Data was gathered from 132 freight forwarder by the use of questionnaire. In this study, the established hypotheses were generated on the basis of the service quality evaluation model(SERVQUAL, SERVPERF, and EP) and Gap model.