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빅데이터 분석을 통한 부산의 특급호텔과 비즈니스호텔의 의미연결망 분석에 관한 연구

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Alternative Title
A Study on the Semantic Network Analysis of ‘Business Hotel and 5 Star Hotel’ through the Big Data
Abstract
This study conducted a semantic network analysis by collecting reviews of business hotels and luxury hotels in Busan through Naver and Daum. The data was collected by Textom, and the analysis program used Ucinet6 to analyze key words and visualize them by performing semantic link. According to the analysis, the top words related to business hotels appeared in the order of 'Haeundae, Travel, Accommodation, and Busan Travel', and included words about schedules such as '2 Nights 3Days, 1Night 2Days and 3 Nights 4 Days'. In addition, the frequency of words related to positions such as 'Busan Station, Nampodong, Gwanganri' was also high. On the contrary, the word ‘Haeundae, travel, Seoul, Jeju Island, and the best’ were the top five words in the result of the 5 star hotel, and words related to subsidiary facilities such as 'breakfast, packages, service, and promotion' are frequently found, which makes there is a definite difference between business hotel and 5 star hotel. You may feel that there is little difference in the market segment, but these materials will help you make more effective sales by specifying a marketing plan that is appropriate in detail.
Author(s)
반현정
Issued Date
2019
Awarded Date
2019. 2
Type
Dissertation
Keyword
business hotel 5 star hotel big data busan tourism semantic network analysis
Publisher
부경대학교
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/23290
http://pknu.dcollection.net/common/orgView/200000182276
Alternative Author(s)
Hyun Jeong Ban
Affiliation
부경대학교 경영대학원
Department
경영대학원 경영학과관광경영전공
Advisor
전재균
Table Of Contents
목차
Abstract ⅳ

제 1 장 서론 1
제 1 절 연구배경 1
제 2 절 연구목적 2
제 2 장 이론적 배경 4
제 1 절 부산관광 4
제 2 절 비즈니스호텔 6
제 3 절 특급호텔 8
제 4 절 관광분야의 빅데이터 선행연구 10
제 3 장 연구방법 13
제 1 절 자료수집 및 분석대상 13
제 2 절 분석방법 및 절차 14
제 4 장 실증분석 16
제 1 절 데이터 빈도 분석 16
제 2 절 네트워크 시각화 20
제 3 절 주요 단어 중심성 분석 23
제 4 절 구조적 등위성 분석(CONCOR) 32
제 5 장 결론 38
참고문헌 40
Degree
Master
Appears in Collections:
경영대학원 > 경영학과-관광경영학전공
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