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소셜 미디어 감성분석을 활용한 항공사 고객만족도 연구 : 한, 영, 일, 중 언어권을 중심으로

원문정보

A Study of Airline Customer Satisfaction using A Social Media Sensitivity Analysis : Focusing on Korean, English, Japanese and Chinese language group

이주양

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초록

영어

This study aimed to examine customer satisfaction by language group by analyzing SNS messages regarding two major domestic airlines written in four languages(Korean, English, Japanese, and Chinese). A social media sensitivity analysis was performed on 51,802 messages related to two major domestic airlines posted on Twitter and Weibo over eight years from January 1, 2010 to December 31, 2017. First, the results of the sensitivity analysis by airline and language group showed that in all cases, the percentage of positive messages was above 50%. Second, for both airlines, in-flight service, which was the most evaluated item among airline selection attributes, had a high rate of positive assessment at over 70%. Third, for aircraft operations, both airlines had a high percentage of negative assessment. Finally, in terms of marketing, both airline A (52%) and airline B (67%) had high rates of positive assessments. The results of this study are expected to be used by major domestic airlines as basic data for implementing marketing strategies to improve customer satisfaction.

목차

ABSTRACT
Ⅰ. 서론
Ⅱ. 이론적 배경
1. 항공사 선택속성
2. 고객만족
3. 빅 데이터 감성분석
III. 연구방법
1. 분석 대상 SNS
2. 데이터 취합 및 분석방법
IV. 연구결과
1. 평가자 간 신뢰도(inter-rater reliability)
2. 기초 통계 분석결과
3. 항공사 선택 속성 별 분석
V. 결론
참고문헌

저자정보

  • 이주양 Juyang Lee. 호서대학교 항공서비스학과 외래교수

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자료제공 : 네이버학술정보

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