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논문검색

언어네트워크 분석을 통한 항공관련 연구동향 : 2009-2020년 관광관련 학술지 게재 논문을 중심으로

원문정보

A Semantic Network Analysis of Airline Industry-related Studies Appeared in the Tourism KCI Journal : A Review of Papers Published in 2009-2020 Period

신우단, 안상윤

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초록

영어

This study analyzed academic theses published from 2009 to 2020 that use the word ‘Airline industry’ as a keyword to observe research trends of the Airline Industry field and it conducted language network analysis among analysis methods utilizing big data to observe implications for future research direction. For data, 1,053 Korean academic essays were analyzed using the database of National Research Foundation of Korea. Through analysis results, the following results were deduced. First, frequency analysis of major keywords and degree centrality with regard to Airline industry related studies theses conducted in 6 year units to look into annual flows of research trends showed that, customer-related studies were mainly conducted in the period 2009 to 2014, and the study of cabin crew was mainly conducted in the period 2014 to 2020, and recently, research on Airline Industry that are changing along with the Fourth Industrial Revolution has mainly being conducted. Second, analysis of networks of all major keywords of Airline industry related theses showed that Airline industry related Korean academic theses were mainly being written on basic elements of Airline Industry(cabin crew, customers, service). Lastly, analysis of the major keyword of “CONCOR” showed that studies of airline marketing, customer service, cabin crew and airline employee, human resource management.

목차

ABSTRACT
Ⅰ. 서론
Ⅱ. 이론적 배경
1. 언어네트워크 분석 개념
2. 선행 연구
Ⅲ. 연구설계
1. 분석대상 및 자료수집
2. 연구절차
Ⅳ. 분석결과
1. `항공` 관련 논문 주요 키워드 빈도분석 및 연결중심성 결과
2, `항공` 관련 논문 주요 키워드 토픽 모델링 결과
3. `항공` 관련 논문 주요 키워드 전체 네트워크 분석
4. `항공` 관련 논문 주요 키워드 CONCOR분석[
Ⅴ. 결론
참고문헌

저자정보

  • 신우단 Wudan Shin. 장안대학교 항공관광과 조교수
  • 안상윤 Sangyun Ahn. 세명대학교 항공서비스학과 조교수

참고문헌

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