As the competition in the aviation service market is fierce, the importance of airline brands is being emphasized as the product is facing limitations in differentiating only by the physical characteristics of the product. Therefore, in this study, unlike the quantitative research methods for measuring airline brand personality, the text mining analyzes voluntary reviews of consumers related to airline brand, which are unstructured text data. In addition, we identified the differences between the brand personality dimensions, metrics and airline brand personality quantitative studies presented by Aaker (1997). As a result, airline brand personality dimensions was followed by Sincerity (2.487, 74.77%), Excitement (357, 10.73%), Sophistication (254, 7.64%), Ruggedness (140, 4.21%), Competence (88, 2.65%). In addition, Honest (2.078), Spirited (309), Smooth (252), Tough (136), and Reliable (35) showed high frequency facets of brand personality. In airline brand personality traits, good (1.696), friendly (392), new (210), still (104), hard (68), and positive (21) were identified as the most used words. Next, we compared Aaker (1997) analyzed the variance explained of the brand personality dimension with the actual frequency of use of the airline brand personality dimension. In particular, sincerity among the five dimensions was 74.77%, showing the highest frequency of use.
목차
ABSTRACT Ⅰ. 서론 Ⅱ. 이론적 배경 1. 항공사 브랜드 개성 2. 텍스트 마이닝 Ⅲ. 연구 방법 및 분석 절차 1. 자료 수집 및 데이터 추출 2. 데이터 전처리 3. 항공사 브랜드 개성 차원 추출 Ⅳ. 분석결과 1. 확장된 항공사 브랜드 개성 척도 내용분석 2. Aaker(1997)의 브랜드 개성 차원과 항공사 브랜드 개성 차원 비교 Ⅴ. 결론 참고문헌
키워드
Text MiningBrand PersonalityAirline Brand PersonalityBrand Personality Scale.
관광경영학을 실용학문의 체계로 확립하고 실천학문으로 정착시키기 위하여, 관광경영학문을 현실적응에 필요한 연구를 통해 국가관광정책의 방향을 제시하고, 관광사업자들에게는 실질적으로 도움이 되는 경영전략을 제공하며, 연구를 통하여 회원간의 친목도모와 정보교환을 함으로써 상호발전을 목적으로 한다.