Comparison of Service Quality Between Container Terminal and Bulk Terminal

As the shipping alliance and large-scale shipowner incorporation are steadily established, the importance of the hub port is getting bigger and bigger. All such port customers have become a vital element of the hub port due to their mergers and acquisitions flowing into and maintaining. Therefore, the harbor developing plans should be formulated not only for Busan Port, but also for all national harbors, as a national strategy. This course consists with worldwide trends. In addition to the changing of port infrastructure, the most important issue will be addressed to the understanding of the port customer satisfaction. It is important to grasp the influence of satisfaction of customer using services provided at the port on the possibility of re-contract and to study the requirements for services imposed by customers. Hence, this research focuses on these port services. The ports may be classified into container and bulk terminals, according to the types of cargo. The primary purpose of this research is to compare the differences between container and bulk terminals. Basically, there are many different types of cargo and each type has various ways to be handled. So, the prerequisites of quality service are compared and analyzed as there is a difference in customer service as required. The next objective of this research is comparison between research methods(PZB model and BNC model). There are various research models for measuring service quality. This paper makes an attempt to apply a comparative analysis of the most frequently mentioned models: PZB and BNC models. At first, the results of confirmatory factor analysis and structural equation analysis are used for the comparison of container terminal and bulk terminal. It was found out that both the group of container terminal users and bulk terminal users satisfied with acceptance criteria which are usually utilized. Therefore, conformity of the research was secured. This has been made possible by the analysis of measurement identity. Measurement identity allows to check does respondents in both groups equally understand each attribute. The results of the measurement identity analysis were also recognized as significant. Thus, the comparison between groups is possible. In order to compare populations, path coefficients were used. In the case of container terminals, most respondents are carriers. The carrier generally select the terminal according to its internal/external condition and internal situation. Furthermore, in the process of choosing a terminal type, the geographical conditions and punctuality, such as cargo handling time compliance, are considerable. In the case of bulk terminals, the shippers exercise a significant influence. Assuming bulk cargo, the requirements imposed on cargo handling can vary. Therefore it is important to understand the characteristics of the cargo or whether cargo handling equipment is available. It appears that the pass coefficient reflects the reasons like abovementioned. The results follow from comparison between objectives of PZB and BNC model are presented below.First, analysis revealed that GFI and AGFI of the PZB model are better than those of the BNC model. However, the other Degrees of Conformity were found to be excellent for the BNC model. The BNC model has a lot of attributes related to the PZB model. Therefore, there are many information was obtained by using BNC model. The existing results were observed with research, based on industry. The superiority of each model may be different. So, we conducted research, based on port service. It can be seen that BNC model were evaluated as better. In this research, we proved this empirically. There are various models used during analysis of quality of service. Thence, the comparing and verifying more fully evolved models can be impactful for future researches. As well, it is worth noting that same model results may vary depending on the industry being applied. So, it is meaningful for research to investigate the difference between findings of the analysis, based on industry.List of Tables ⅳ List of Figures ⅵ Abstract ⅶ 제 1 장 서 론 1 1.1 연구의 배경 및 목적 1 1.1.1 연구의 배경 1 1.1.2 연구의 목적 3 1.2 연구의 내용 및 구성 5 제 2 장 컨테이너화물 및 벌크화물 물동량 현황 6 2.1 컨테이너화물 물동량 추이 6 2.2 벌크화물 물동량 추이 16 제 3 장 서비스품질과 연구모형에 관한 이론적 고찰 21 3.1 항만(port) 관련 기존연구 21 3.1.1 컨테이너터미널 22 3.1.2 벌크터미널 26 3.2 서비스품질(Service Quality) 관련 기존연구 28 3.2.1 PZB모형관련 연구 28 3.2.2 BNC모형관련 연구 31 제 4 장 연구모형 및 조사 설계 34 4.1 연구모형 34 4.2 변수의 조작적 정의 및 설문항목 구성 37 4.3 연구의 대상 및 표본특성 47 제 5 장 컨테이너터미널과 벌크터미널 간의 서비스품질 비교 52 5.1 측정변수의 신뢰성 및 타당성분석 52 5.2 적합도 검증 58 5.2.1 확인적 요인분석 58 5.2.2 구조방정식분석 63 5.3 컨테이너터미널 및 벌크터미널 비교분석 65 5.3.1 측정동일성 검정 65 5.3.2 다중집단구조방정식분석 67 제 6 장 서비스품질 연구모형 간의 비교 73 6.1 측정변수의 신뢰성 및 타당성분석 73 6.2 적합도 검증 79 6.2.1 확인적 요인분석 79 6.2.2 구조방정식분석 82 6.3 PZB모형과 BNC모형의 비교분석 85 제 7 장 결 론 88 7.1 연구결과의 요약 88 7.2. 연구의 시사점 92 7.3 향후 연구방향 93 참 고 문 헌 94 부록 A. 설 문 지 105Docto

Comparative Analysis of Recommendation and Nonrecommendation Systems for New Customers Using Social Networks.

인터넷의 급속한 성장과 전자상거래의 확산으로 인터넷을 통해 상품을 구매하는 고객의 빈도 역시 증가하고 있다. 그러나 존재하는 상품이 매우 다양하기 때문에 고객의 입장에서는 구매의도와 일치하는 상품을 찾는 것이 쉽지 않다. 기업이 고객의 구매의도와 일치하는 상품을 추천하는 것은 고객에게 만족을 주고 나아가 매출의 확대로 이어질 수 있는 문제이므로 매우 중요하다. 이에 따라 추천시스템이 주목받기 시작했다. 추천시스템은 다양한 방법이 존재한다. 그러나 구매 이력이 없는 신규고객의 경우 선호도를 예측할 수 없으므로 추천이 어렵게 된다. 따라서 본 논문에서는 협력 필터링과 사회연결망분석(SNA)의 중심성을 이용하여 신규고객을 위한 추천시스템 및 비추천시스템을 제시한다. 제시한 시스템의 평가를 위하여 MovieLens의 데이터에 적용하고 그 결과를 분석하였다.제 1 장 서 론 1 제 1 절 연구의 배경 및 목적 1 제 2 절 연구의 내용 및 구성 3 제 2 장 선행연구 6 제 1 절 추천시스템(Recommender System) 6 제 2 절 사회연결망 분석(Social Network Analysis) 9 제 3 장 방법론 13 제 1 절 기존고객의 구매유사도 분석 14 제 2 절 기존고객의 네트워크 구성 15 제 3 절 신규고객의 추천 이웃고객 형성 16 제 4 절 신규고객 상품 추천 17 제 5 절 추천 및 비추천시스템 18 제 4 장 실증분석 19 제 1 절 분석 데이터 19 제 2 절 분석 방법 25 제 3 절 분석 결과 26 제 5 장 결 론 29 제 1 절 연구결과 요약 및 시사점 29 제 2 절 연구의 한계 및 향후 연구방향 30 참고문헌 3

(A)Phenomenological research on the experience of aquatic exercise of people with disabilities

학위논문(박사)--서울대학교 대학원 :체육교육과,2007.Docto

일반학교 중등체육교사의 통합체육 목표 인식 연구

학위논문(석사)--서울대학교 대학원 :체육교육과,2003.Maste

Analyzing service processes using process mining: A case study

1

Production efficiency and process quality analysis for manufacturing process based on event logs

2

Process improvement based on best practices and social network analysis

2

분열효모에서 DNA 복제 비의존적 염색질 교환에 관여하는 히스톤 코드에 관한 연구

학위논문(박사) - 한국과학기술원 : 생명과학과, 2016.8 ,[vi, 100 p. :]Most protein-coding genes are transcribed by RNA polymerase II (Pol II) in eukaryotic cells. To overcome obstacles exerted by chromatin, Pol II constantly removes histones and proceeds with transcription. Cumulative evidence indicates reassembly of evicted histones by chromatin factors, a mechanism known as histone turnover, to maintain proper chromatin structure during transcription. In this study, to understand the molecular details about histone turnover in Schizosaccharomyces pombe (S. pombe), a replication-independent histone turnover assay was established through incorporation of newly synthesized histones into chromatin. Significant histone turnover was observed in nucleosome-free regions (NFRs) and showed high correlations with transcription rate. The patterns of histone turnover were categorized into three clusters and some genes of cluster3 appeared to be subjects of DNA replication- and transcription-independent histone turnover. Interestingly, histone marks such as H3K56 acetylation (H3K56Ac) and H4K20 monomethylation (H4K20me1) were localized at NFRs and these marks were highly correlated with expression levels. Genome-wide profiles of H3K56Ac were similar between S. pombe and Saccharomyces cerevisiae. Surprisingly, the genome-wide occupancy of H4K20me1 overlapped with H3K56Ac occupancy. In set2 and alp13 mutants, aberrant antisense transcripts were produced at coding regions, possibly due to histone turnover. In genome-wide ChIP-seq, levels of H3K56Ac and H4K20me1 in set2 and alp13 deletion cells were found to be increased compared to wild-type, indicating that H4K20me1 may serve as a histone turnover mark in S. pombe, in addition to H3K56Ac. A correlation between histone turnover, H3K56Ac and H4K20me1 was assessed in asynchronized cells. H3K56Ac showed a positive correlation with histone turnover, in both synchronized and asynchronized cells, whereas H4K20me1 showed strong correlations with histone turnover when the experimental conditions were similar. These findings indicate that H3K56Ac stands for histone turnover in both replication-dependent and -independent manners while H4K20me1 only serves as a mark in a transcription-dependent manner.한국과학기술원 :생명과학과