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The study on Analysis of factors of restaurant start-ups using big data

  • JINHO LEE (Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University) ;
  • Sung woo Park (Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University) ;
  • Gi-Hwan Ryu (Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University)
  • Received : 2023.08.08
  • Accepted : 2023.08.20
  • Published : 2023.09.30

Abstract

The restaurant industry is an industry with low entry barriers, and furthermore, it is an indispensable industry in life. However, for the restaurant industry, it is necessary to start a business considering many factors. In particular, the comparative group for each restaurant industry is different, and the commercial area analysis should be analyzed differently. Moreover, counseling for restaurant start-ups is still sticking to how to start a restaurant by meeting with each franchise supervisor or counselor. Therefore, a restaurant start-up chatbot is needed for prospective restaurant founders, and a food tech chatbot is needed to collect basic data. Therefore, in this study, factors for restaurant start-ups were divided into youth, preliminary start-ups, menus, taste, and food. In the case of restaurant start-ups with low entry barriers, it was confirmed as the most preferred start-up by young people. However, indiscriminate restaurant start-ups not only increase the closing rate but also have a significant impact on household debt, so accurate consulting should be used to lower the closing rate and increase the success rate. Furthermore, theories and measures for food technologies such as chatbots should be further developed to obtain accurate information on franchise start-ups.

Keywords

References

  1. H.M. Kwon, V. Kumaran, and S. Gupta, "A New Broadcast Scheduling Scheme," The Journal of the Institute of Internet, Broadcasting and Communication(JIIBC), Vol. 11, No. 2, pp. 63-72, June 2011. DOI: https://doi.org/10.7236/JIIBC.2005.5.2.56.
  2. B. Sklar, Digital Communications, Prentice Hall, pp. 187, 1998.
  3. M. Franklin and S. Zdonik, "A Framework for Scalable Dissemination-Based Systems," in Proc. 9th IEE SP Workshop on Statistical Signal, pp. 232-235, Sep.14-16, 2008.
  4. Han, K., A Study of Acetic Acid Formation in Escherichia coli Fermentation, Ph.D. Thesis. University of California, Irvine, CA, USA., 2010.
  5. Prudden, J. F., Method and agent for treating inflammatory disorders of the gastrointestinal tract. US Patent 4,006,224, 2007
  6. The Institute of Internet, Broadcasting and Communication, Submission of manuscript. http://www.iibc.kr.
  7. Kang Sung-ho, Lee Han-geun and Jo Bo-gyeong, "The Effects of Mobile Advertising on Advertising Engagement and Advertising Attitude: Evidence from Gamification Advertising," Korean Business Education Review, Vol. 34, No. 2, pp.283-303, 2019. https://doi.org/10.23839/kabe.2019.34.2.283
  8. Wan-Min Kim, Seongho Kang and Hangeun Lee, "The Effects of Consumer Experiences toward Gamification Advertising on Brand Attitude," Korean Journal of Business Administration, Vol. 33, No. 6, pp.1019-1040, 2020.
  9. Anna Han, "A Systematic Literature Review of Research Trends in Domestic Gamification," The Korea Contents Association, Vol. 18, No.5, pp.566-578, 2018.
  10. Dongyeop Lee, "Future Game Market Outlook Based on Gamification's Definition and Case Analysis," Journal of Digital Design, Vol. 11, No.4, pp.450-457, 2011. https://doi.org/10.17280/jdd.2011.11.4.044
  11. Boh-Youn Kwon and Chul-Gyun Lyou, "The meta-analysis of domestic gamification research : status and suggest," Korea Humanities Content Society, Vol. 39, pp.97-124, 2015. https://doi.org/10.18658/humancon.2015.12.39.97
  12. Jang-Heon Han and Heon Seo, "A Study on the Activation Plans of Yeosu Tourism and Perception on Yeosu Tourism by Analyzing Social Big Data," The Korea Academic Society Of Tourism And Leisure, Vol. 31, No. 7, pp.81-96, 2019. https://doi.org/10.31336/JTLR.2019.7.31.7.81
  13. Park Tae-su, "A Study on the Perception of Ulsan Tourism and the Promotion Plans for the Future through the Analysis of Social Big Data : Focused on CONCOR Analysis Methodology," Tourism Institute of Northeast Asia, Vol. 16, No. 3, pp.109-126, 2020. https://doi.org/10.35173/NATR.16.3.6
  14. Se-Won Jeon, Youn Hee Choi, Seok-Jae Moon, Kyung-Mi Yoo and Gi-Hwan Ryu, "A Study on the Analysis of Museum Gamification Keywords Using Social Media Big Data," The international Journal of Internet, Broadcasting and Communication, Vol. 13, No. 4, pp. 66-71, 2021.