DOI QR코드

DOI QR Code

A Study on the Consumer Perception and Keyword Analysis of Meal-kit Using Big Data

  • Jung, Sunmi (Department of Immersive Content Convergence, General graduate school, Kwangwoon University) ;
  • Ryu, Gihwan (Department of Tourism Industry, Graduate school of smart convergence, Kwangwoon University) ;
  • Lim, Jeongsook (Department of Immersive Content Convergence, General graduate school, Kwangwoon University) ;
  • Kim, Heeyoung (Department of Immersive Content Convergence, General graduate school, Kwangwoon University)
  • 투고 : 2022.04.22
  • 심사 : 2022.04.27
  • 발행 : 2022.05.31

초록

As the level of consumption is improved and cultural life is pursued, the consumer's consciousness structure is rapidly changing, and the demand for product selection level, variety, and quality is becoming more diverse. The restaurant economy is falling due to the prolonged COVID-19, the economic recession, income decline, and changes in population structure and lifestyle, but the Meal- kit market is growing rapidly. This study aims to identify the consumer perception of Meal-kit, which is rapidly growing as an alternative to existing meals in the fields of dining out, food, and distribution due to the development of technology and social environment using big data. As a result of the analysis, the keywords with the highest frequency of appearance were in the order of Meal-kit, Cooking, Product, Launching, and Market and were divided into 8 groups through the CONCOR analysis. We want to identify consumer trends related to the key keywords of Meal-kit, present effective data related to Meal-kit demand for Meal-kit specialized companies, and provide implications for establishing marketing strategies for differentiated competitive advantage.

키워드

참고문헌

  1. Doekyoung Ahn, and Seung-in Kim, "A study on the buying behavior of meal kits according to the lifestyle of the MZ generation," Jounal of digital Convergence, Vol. 20, No. 2, pp. 367-373, Feb 2022. DOI: https://doi.org/10.14400/JDC.2022.20.2.367
  2. Jooyeon Ryu, Seungmi Kang, and Seungchul Yoo, "Effects of Meal-Kit Product Attributes on Expectancy Disconfirmation, Satisfaction, Purchase Intention, and Recommendation Intention : Focused on Consumers in Their 20's and 30's," Journal of Practical Research in Advertising and Public Relations, Vol. 14, No. 3, pp. 124-154, Aug 2021. DOI: http://lps3.www.earticle.net.libproxy.kw.ac.kr/Article/A398913 https://doi.org/10.21331/JPRAPR.2021.14.3.005
  3. Nayoung Yi, and Junghwa Choi, "A Study of the Consumer Perception of Meal Kit Using Big Data Analysis," Food-Service Industry Journal, Vol. 15, No. 4, pp. 211-222, Dec 2019.
  4. W. G. Kang, E. S. Ko, H. R. Lee, and J. N. Kim, "A study of the consumer major perception of packaging using big data analysis-focusing on text mining and semantic network analysis," Journal of the Korea Convergence Society, Vol. 9, No. 4, pp. 15-22, Apr 2018. DOI: https://doi.org/10.15207/JKCS.2018.9.4.015
  5. Kyungsik Kim, and Seungback Han, "A Semantic Network Analysis of 10-year News Coverage of Sport Match-Fixing," Korean Society for the Sociology of Sport, Vol. 31, No. 3, pp. 21-41, Sep 2018. DOI: https://doi.org/10.22173/ksss.2018.31.3.2
  6. Heeyoung Kim, "A Design of the Automatic Payment System using AI Self-Service Technology based on Big Data Analysis," Ph.D. Thesis. University of Kwangwoon, Seoul, Korea, 2022.
  7. Aesook Kim, Sunmi Jung, Gihwan Ryu, and Heeyoung Kim "A study on the User Experience at Unmanned Checkout Counter Using Big Data Analysis," The Journal of the Convergence on Culture Technology (JCCT), Vol. 8, No. 2, pp. 343-348, Mar 2022. DOI: https://doi.org/10.17703/JCCT.2022.8.2.343