제주지역 웰니스 관광 활동 세분화 연구

Abstract

As the innovative technologies of the fourth industrial revolution such as the Internet of Things, artificial intelligence, big data, and robots converge, they are creating a new smart well-being culture and evolving toward optimizing human health and quality of life. The smart generation era, which has already begun, is directly affecting the wellness industry, focusing health. In various fields, diverse attempts are being made to expand the foundation of wellness for a future well-being life. Through theoretical researches, wellness could be defined not only reaching the goal of physical health, but also actively coping with the prevention and treatment of diseases, and even more. Many researchers have long emphasized the importance of an active aspect to wellness. In this study, the research scope and subjects set on the basis of these were subdivided into factors by factor analysis and reliability, one-way ANOVA and Duncan multiple range test using SPSS 23 program. In this study, using the SPSS 23 program, the study scope and subjects were set, and wellness activities were subdivided into factors by factor analysis and reliability, one-way ANOVA and Duncan multiple range test based on the theories mentioned above. In a recent exploratory study, the FIMIX-PLS Segmentation analysis method, which shows excellent analysis functions for identifying data patterns and relationships, was used. Through this, it was expected that the theoretical foundations would provide to statistically establish the relationship to variables and to classify the characteristics of activities in the wellness tourism field by conducting a full segmentation analysis of wellness awareness, pursuit benefits, and activities. The research method first derives the attribute factors for wellness perception and the wellness pursuit benefit through literature review of prior studies, and conducts factor analysis to derive the most effective variables for subdividing the overall tourism. In addition, through FIMIX-PLS Segmentation analysis of variables derived from this, an analysis was conducted to subdivide wellness activities, pursuit benefits, and wellness awareness. The groups derived using FIMIX-PLS were named "Health Pursuit Cluster", "Sports Pursuit Cluster", and "Nature Pursuit Cluster", respectively. Through this research method and analysis process, this study empirically analyzed how physical, emotional, cognitive, social, environmental, and welfare factors, which are the main components of wellness, affect the wellness status of the tourists. The purpose of this study is to theoretically establish the relationship between benefits and activities that affect tourists' perception of wellness and the choices of wellness tourism and activities. In particular, Jeju Island, which has an excellent natural environment and abundant wellness resources, provides an optimal environment for wellness tourism, thus it is meaningful to conduct the research and analyze the benefits gained. Based on this analysis, it was intended to provide a theoretical basis for wellness tourism activities and basic understandings as well as interpretation of research through statistic confirmation of the interrelationship about the perception and benefits of wellness tourism affect tourism activities.