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A Study on the Effects of Triple Bottom Line Factors on Cruise Ports' Performance: Focused on Major Korean Cruise Ports
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 조성철 | - |
| dc.contributor.author | 강효경 | - |
| dc.date.accessioned | 2019-12-16T02:52:18Z | - |
| dc.date.available | 2019-12-16T02:52:18Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.uri | http://repository.kmou.ac.kr/handle/2014.oak/11646 | - |
| dc.identifier.uri | http://kmou.dcollection.net/common/orgView/200000013855 | - |
| dc.description.abstract | Triple bottom Line(TBL) is a comprehensive framework to evaluate the sustainability of an organization by integrating the triple important dimensions of economic, environmental, and social factors. This study analyzes the effects of the TBL factors on the performances of cruise ports by developing a linear regression model. A set of the time-series data of 15 years for various variables on the performances of major Korean cruise ports is used for the study. All the independent variables are grouped into three to form an analyzable data set within the TBL framework, and the statistical results are analyzed to show the impacts of the TBL factors on the cruise ports’ performance and sustainability. This study also suggests some policy implications important to develop major Korean cruise home ports for sustainable Korean cruise industry. | - |
| dc.description.tableofcontents | 1. Introduction 1.1 Background of Study 1.2 Research Problem 1.3 Purpose of the Research 2. General Description of Cruise Port and Research Method 2.1 Cruise Port 2.1.1 Concept of Cruise 2.1.2 The Concept and Type of Cruise Port 2.1.2.1 Home Port 2.1.2.2 Secondary Port 2.1.2.3 Base Port 2.2 Strategic Factors for Cruise Port Competitiveness 2.3 Triple Bottom Line and Sustainable Management 2.4 Regression Analysis 2.4.1 Structure of Regression Analysis 2.4.1.1 All Possible Selection 2.4.1.2 Forward Selection 2.4.1.3 Backward Elimination 2.4.1.4 Stepwise Selection 2.4.2 Statistical Coefficient 2.4.2.1 Standardized Coefficient,(β) 2.4.2.2 Determination Coefficient 2.4.3 Multi-Collinearity 2.4.4 Determination of Significance 3. Research Model and Results 3.1 Research Model 3.2 Data 3.3 Analysis of Correlation 3.4 Analysis of Significance of TBL Models in Cruise Port's Performance by TBL Factor 3.4.1 Analysis of Significance of TBL Model 3.4.2 Analysis of Significance of the Economic Factors' Model 3.4.3 Analysis of Significance of the Environmental Factors' Model 3.4.4 Analysis of Significance of the Social Factors' Model 3.5 Influence of TBL Factors on the Performance of Cruise Port in Regression Analysis 3.5.1 TBL Factors to Number of Cruise Ships Arrivals 3.5.2 TBL Factors to Number of Cruise Passengers 3.5.3 Economic Factors of TBL 3.5.4 Environmental Factors of TBL 3.5.5 Social Factors of TBL 3.6 Influence of TBL Factors on Performance of Cruise Port 3.6.1 Influence of TBL Factors on Performance of Busan Cruise port 3.6.2 Influence of TBL Factors on Performance of Incheon Cruise port 3.6.3 Influence of TBL Factors on Performance of Jeju Cruise Port 4. CONCLUSION 4.1 Summary and Conclusion 4.2 Limitation of the Thesis | - |
| dc.language | eng | - |
| dc.publisher | 한국해양대학교 대학원 | - |
| dc.rights | 한국해양대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | A Study on the Effects of Triple Bottom Line Factors on Cruise Ports' Performance: Focused on Major Korean Cruise Ports | - |
| dc.type | Dissertation | - |
| dc.date.awarded | 2018-02 | - |
| dc.contributor.department | 대학원 KMI학연협동과정 | - |
| dc.description.degree | Master | - |
| dc.title.translated | 크루즈 항만의 성과에 대한 Triple Bottom Line 요소들의 영향력 분석 : 한국의 주요 크루즈 항만들을 대상으로 | - |
| dc.identifier.holdings | 000000001979▲200000000139▲200000013855▲ | - |
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