빅 데이터를 이용한 MICE 산업 분석과 의미: BEXCO 방문객의 신한카드 이용 데이터 분석을 중심으로 (The Big Data Analysis of the MICE Industry and Its Implications: Focused on the Shinhan Credit Card usage among Visitors of BEXCO)

서지정보

· 발행기관 : (사)한국관광레저학회
· 수록지 정보 : 관광레저연구 / 27권 / 11호 / 451 ~ 470페이지
· 저자명 : 김이태, 신미숙, 이세준, 김아진

초록

This paper aims to find industrial implications in the MICE industry using the big data with the analysis of the MICE visitors and the types of MICE held in BEXCO which is major the representative venue in Korea. The data had been collected as the Big Data combining MICE participants’ Shinhan Credit Card usage, other miscellaneous informations and the data provided from BEXCO through 2011 to 2014.
Firstly, we scrutinize the demographical information and the usage of public transportation(in/out side the city) of the participants. Secondly, we compared the visitors consumption patterns. Thirdly, we compared the event days, total visitors, number of events, the amount of participants’ consumption by MICE type.
The results show the significant difference between visitor type(individual vs.
corporate) and participants region in the consumption patterns. Also, We found several limitations in the big data analysis in MICE industry, such as costly data collection, limited access to the big data and the short of data analysis professionals.
This research will propose some guidance to the MICE industry by providing the MICE participants analysis and specific industrial informations in MICE.

영어초록

This paper aims to find industrial implications in the MICE industry using the big data with the analysis of the MICE visitors and the types of MICE held in BEXCO which is major the representative venue in Korea. The data had been collected as the Big Data combining MICE participants’ Shinhan Credit Card usage, other miscellaneous informations and the data provided from BEXCO through 2011 to 2014.
Firstly, we scrutinize the demographical information and the usage of public transportation(in/out side the city) of the participants. Secondly, we compared the visitors consumption patterns. Thirdly, we compared the event days, total visitors, number of events, the amount of participants’ consumption by MICE type.
The results show the significant difference between visitor type(individual vs.
corporate) and participants region in the consumption patterns. Also, We found several limitations in the big data analysis in MICE industry, such as costly data collection, limited access to the big data and the short of data analysis professionals.
This research will propose some guidance to the MICE industry by providing the MICE participants analysis and specific industrial informations in MICE.

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