언어네트워크 분석을 통한 항공관련 연구동향

• 영문명: A Semantic Network Analysis of Airline Industry-related Studies Appeared in the Tourism KCI Journal: A Review of Papers Published in 2009-2020 Period
• 발행기관: 관광경영학회
• 저자명: 신우단 안상윤
• 간행물 정보: 『관광경영연구』제24권 제6호, 285~303쪽, 전체 19쪽
• 주제분류: 사회과학 > 관광학
• 파일형태: PDF
• 발행일자: 2020.11.30

영문 초록

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

Ⅰ. 서 론

Ⅱ. 이론적 배경

Ⅲ. 연구설계

Ⅳ. 분석결과

Ⅴ. 결 론

참고문헌

키워드

Big data A Semantic Network Analysis Airline Industry-related Studies Research Trend