제4차 산업혁명에서 SNS 빅데이터의 외식산업 활용 방안에 대한 연구

@article{ART002277483},
author={ 한순임 and 김태호 and 이종호 and 김학선 },
title={제4차 산업혁명에서 SNS 빅데이터의 외식산업 활용 방안에 대한 연구},
journal={Culinary Science & Hospitality Research},
issn={2466-0752},
year={2017},
volume={23},
number={7},
pages={1-10},
doi={10.20878/cshr.2017.23.7.001},
url={http://dx.doi.org/10.20878/cshr.2017.23.7.001}

TY - JOUR
AU - 한순임
AU - 김태호
AU - 이종호
AU - 김학선
TI - 제4차 산업혁명에서 SNS 빅데이터의 외식산업 활용 방안에 대한 연구
T2 - Culinary Science & Hospitality Research
PY - 2017
VL - 23
IS - 7
PB - (사)한국조리학회
SP - 1-10
SN - 2466-0752
AB - This study proposed SNS big data analysis method of food service industry in the 4th industrial revolution. This study analyzed the keyword of the fourth industrial revolution by using Google trend. Based on the data posted on the SNS from January 1, 2016 to September 5, 2017 (1 year and 8 months) utilizing the "Social Metrics". Through the social insights, the related words related to cooking were analyzed and visualized about attributes, products, hobbies and leisure. As a result of the analysis, keywords were found such as cooking, entrepreneurship, franchise, restaurant, job search, Twitter, family, friends, menu, reaction, video, etc. As a theoretical implication of this study, we proposed how to utilize big data produced from various online materials for research on restaurant business, interpret atypical data as meaningful data and suggest the basic direction of field application. In order to utilize positioning of customers of restaurant companies in the future, this study suggests more detailed and in-depth consumer sentiment as a basic resource for marketing data development through various menu development and customers' perception change. In addition, this study provides marketing implications for the foodservice industry and how to use big data for the cooking industry in preparation for the fourth industrial revolution.
KW - The 4th industrial revolution, Big data, Data mining, Social matrix, SNS(Social Network Services).
DO - 10.20878/cshr.2017.23.7.001
UR - http://dx.doi.org/10.20878/cshr.2017.23.7.001
ER -

한순임 , 김태호 , 이종호 and 김학선 (2017). 제4차 산업혁명에서 SNS 빅데이터의 외식산업 활용 방안에 대한 연구. Culinary Science & Hospitality Research, 23( 7), 1- 10.

한순임 , 김태호 , 이종호 and 김학선 . 2017, “제4차 산업혁명에서 SNS 빅데이터의 외식산업 활용 방안에 대한 연구”, Culinary Science & Hospitality Research, vol. 23, no. 7, pp. 1-10. Available from: doi:10.20878/cshr.2017.23.7.001

한순임 김태호 et al. 이종호 김학선 “제4차 산업혁명에서 SNS 빅데이터의 외식산업 활용 방안에 대한 연구” Culinary Science & Hospitality Research 23.7 pp. 1-10 (2017): 1.

한순임 , 김태호 , 이종호 , 김학선 . 제4차 산업혁명에서 SNS 빅데이터의 외식산업 활용 방안에 대한 연구 Culinary Science & Hospitality Research [Internet]. 2017; 23( 7), : 1-10. Available from: doi:10.20878/cshr.2017.23.7.001

한순임 , 김태호 , 이종호 and 김학선 . “제4차 산업혁명에서 SNS 빅데이터의 외식산업 활용 방안에 대한 연구” Culinary Science & Hospitality Research 23, no.7 (2017): 1-10. doi: 10.20878/cshr.2017.23.7.001

홈 권호 목록 논문 목록 논문 상세

제4차 산업혁명에서 SNS 빅데이터의 외식산업 활용 방안에 대한 연구

Culinary Science & Hospitality Research

약어 : CSHR

2017, vol.23, no.7, pp.1 - 10

DOI : 10.20878/cshr.2017.23.7.001

발행기관 : (사)한국조리학회

연구분야 : 기타사회과학

한순임¹ , 김태호² , 이종호³ , 김학선⁴

¹경성대학교

²경성대학교

³경성대학교

⁴경성대학교

인용한 논문 수 : 35 서지 간략 보기

초록

This study proposed SNS big data analysis method of food service industry in the 4th industrial revolution. This study analyzed the keyword of the fourth industrial revolution by using Google trend. Based on the data posted on the SNS from January 1, 2016 to September 5, 2017 (1 year and 8 months) utilizing the "Social Metrics". Through the social insights, the related words related to cooking were analyzed and visualized about attributes, products, hobbies and leisure. As a result of the analysis, keywords were found such as cooking, entrepreneurship, franchise, restaurant, job search, Twitter, family, friends, menu, reaction, video, etc. As a theoretical implication of this study, we proposed how to utilize big data produced from various online materials for research on restaurant business, interpret atypical data as meaningful data and suggest the basic direction of field application. In order to utilize positioning of customers of restaurant companies in the future, this study suggests more detailed and in-depth consumer sentiment as a basic resource for marketing data development through various menu development and customers' perception change. In addition, this study provides marketing implications for the foodservice industry and how to use big data for the cooking industry in preparation for the fourth industrial revolution.

키워드

The 4th industrial revolution, Big data, Data mining, Social matrix, SNS(Social Network Services).

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