한국식생활문화학회지 (Journal of the Korean Society of Food Culture)

  • 제39권4호
  • /
  • Pages.184-192
  • /
  • 2024
  • /
  • 1225-7060(pISSN)
  • /
  • 2288-7148(eISSN)
한국식생활문화학회 (Korean Society of Food Culture)
권호 표지
DOI QR코드

DOI QR Code

텍스트 네트워크 분석을 활용한 '무설탕' 관련 소비자 인식 연구

Consumer Perceptions Related to 'Zero Sugar' Using Text Network Analysis

  • 장정민 (장안대학교 호텔조리베이커리과)
  • Jeong Min Jang (Department of Hotel Culinary art and Baking, The Graduate School of Jangan University)
  • 투고 : 2024.08.12
  • 심사 : 2024.08.31
  • 발행 : 2024.08.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The increase in the global sugar-free trend and interest in sugar-free products has resulted in most consumers becoming more interested in products with low or no sugar content. This study explored consumer perceptions of sugar-free products through text network analysis using big data. After collecting the texts, 50 key words were extracted through frequency analysis and TF-IDF analysis. Subsequently, they were categorized into four clusters using degree centrality analysis, social network analysis, and CONCOR analysis, to arrive at the implications. The limitations of the study were then listed.

키워드

과제정보

본 연구는 장안대학교 2024년도 연구지원비에 의하여 수행되었습니다.

참고문헌

  1. Bandy. LK, P. Scarborough, RA. Harrington, M. Rayner, A. Jebb. 2020. Reductions in sugar sales from soft drinks in the UK from 2015 to 2018. BMC Med., 18(20):1-10
  2. Cho SG, Choi KH. 2018. A study on a nonconforming food detection system using imported food big data. J. Korean Soc. Big Data, 3(2):19-33
  3. Han CM, Paik, JK, Jeoung GY, Hong, WS. 2023. Consumer Perceptions Related to "Delivery food" Using Big Data: Comparison before and after the outbreak of COVID-19. J. Korean Soc. Food Cult., 38(2):73-82
  4. Han HJ, Gim M, Shin HY, Jang HS, Lee GH, Pakr YK. 2024. Exploring the Impact of Sugar-Free Cookies on Glycemic Metabolism and Potential Health Benefits. J. Korean Soc. Food Sci. Nutr., 53(2):199-206
  5. Han KH. 2021. A Study on Leggings Perception Change with Big Data Analysis : Based on Covid-19. Korea J. Sport, 19(3):51-65
  6. Hwang JO, Lee CY, Kim YM. 2022. A study on analysis of research trends related to self-directed learning in Korean journals and improvement direction of International Educational Development Cooperation through Network Text Analysis. J. Learn.-Cent. Curric. Instr., 22(22):1-16
  7. Jang JM. 2022. A study on consumer perception of vegan food using big data analysis. J. Foodserv. Manag., 25(6):227-245
  8. Kang WG, Ko US, Lee HR, Kim JN. 2018. A survey of consumers' major perceptions of packaging through big data analysis-focusing on text mining and semantic network analysis. J. Korean Soc. Converg., 9(4):15-22
  9. Kho JC, Cho KT, Cho YH. 2013. A Study on Recent Research Trend in Management of Technology Using Keywords Network Analysis. J. Intell. Inform. Syst., 19(2):101-123
  10. Kim MH, Ryu KH. 2022. A Study on Image Recognition of local Currency Consumers Using Big Data. J. Converg. Cult. Technol., 8(4):11-17
  11. Kim YH, Lee CY. 2023. Analysis of domestic research trends related to youth international experiential learning(2015-2022). Field Class Stud., 4(1):57-84
  12. Kim YJ. 2023. A study on COVID depression using big data. Health Soc. Stud., 43(2): 29-47
  13. Lee CE, Lee JY. 2024. Big data analysis on green washing perceptions and issues. J. Foodserv. Manag., 27(2):5-24
  14. Lee EJ, Jung HS, Jang JA. 2023. A study on diet awareness and trends before and after COVID-19 using big data analysis. J. Korean Soc. Food Nutr. Sci., 52(6):659-671
  15. Lee HM. 2020. A Study on North Korean Tourism Awareness Using Text Mining Techniques: Focusing on Potential Korean Tourists. Hotel Manag. Res., 29(5):1-15
  16. Lee KH, Kim HY, Jang SJ. 2015. Quality Characteristics of Sugar Free Fruit-Vegetable Jam containing Calcium. Korean J. Food Nutr., 28(5):829-834
  17. Lee KM. 2019. Social Welfare Network Analysis Using Social Big Data. J. Crit. Soc. Welf., 64(2019):137-180
  18. Lee SS. 2013. Analytical Study on the Relationship between Centralities of Research Networks and Research Performances. J. Korean Libr. Inf. Sci. Soc.. 44(3):405-428
  19. Park, JS, Kim CS, Kwahk KY. 2016. Investigation of Research Trend in Hotel Domain Using Text Mining and Social Network Analysis. J. Tour. Leis. Res., 28(9):209-226
  20. Park SM, Kim YS, Yoon IC, Seo EH, Ko BS, Choi SB. 2002. Manufacturing of low-fat, sugar-free cookies and blood sugar-lowering effects. J. Korean Soc. Food Sci., 34(3):487-492
  21. Rina, RY, Jimmy, CYL. 2023. Sugar guidelines should be evidence-based and contain simple and easily actionable messages. Front. Nutr., 10(2023):1227377
  22. Seo HJ. 2019. Derivation of the latest issues in the field of 'intangible cultural heritage' applying big data-based text network analysis. Intang. Herit., 2019(6):151-183
  23. Shim JY. 2021. The Secret of Infographic Sugar-Free Snacks_No Sugar Zero. Duscoop, 463:12-13
  24. Song HN, Lee HJ, Lee HJ. 2023. Determining Food Nutrition Information Preference Through Big Data Log Analysis. J. Food Hyg. Saf., 38(5):402-408
  25. Sunarisa J. 2018. Analysis of Sugar-Free Claimed Beverages and Its Potential Customers Analysis of Sugar-Free Claimed Beverages and Its Potential Customers. KnE Soc. Sci.. 2018(0):869-883
  26. Wi K, Park SH. 2023. A Study on the Visual Symbolic Expression of Sugar-Free Concepts in the package design of the F&B brand-focusing on snacks, jelly, beverages, and candies among Chinese sugar-free products. Korea Design Forum, 28(1):153-168
  27. Wubo W. 2024. The Influence of Market Positioning on the Development of Sugar-Free Beverage Industry Enterprises. J. Educ. Humanit. Soc. Sci. 31:25-29
  28. Yang NE, Hwang JS, Kim WY, Kang DN, Kang SG, Kim HW. 2024. Optimizing Allulose and Solvitol Mixing Ratio for Sugar-Free Chicken Breast Jerky. Resourc. Sci. Res.. 6(1):59-68
  29. Yuan RF. 2023. Brand Correlation of Expression Elements of Sugar-Free Tea Beverage Package Design-A Study on the Package Design Analysis of Sugar-Free Tea Beverage in China. Asia-Pacific J. Converg. Res. Interch., 9(3):437-451
  30. Yu YH, Park YJ, Kwak HJ. 2024. Effect of product attribute beliefs of RTD sugar-free tea drinks on purchase intention. J. Korean Content Soc., 24(2):374-387
  31. (aT)The dining out, 2022 A trend toward eating out at home and abroad. Available from: https://www.atfis.or.kr/fip/front/M000000216/board/list.do, [accessed 2024.08.02]
  32. (aT)The dining out, 2023 A trend toward eating out at home and abroad. Available from: https://www.atfis.or.kr/fip/front/M000000216/board/list.do, [accessed 2024.08.02]
  33. European Commission. 2024. Nutritional Highlights. Available from: https://food.ec.europa.eu/safety/labelling-and-nutrition/nutrition-and-health-claims/nutrition-claims_en, [accessed 2024.08.05]
  34. Lee JM. 2024. Lotte Well Food "Sugar-free, unsweetened" ...Expanding the line-up of 'ZERO' ice cream. Available from: https://www.newsquest.co.kr/news/articleView.html?idxno=220894, [accessed 2024.08.07]
  35. NIQ. 2022. IelsenIQ Expo West 2022 Recap . Available from: https://nielseniq.com/global/en/insights/commentary/2022/expo-west-2022-recap/, [accessed 2024.08.05]
  36. Textom. Available from: https://www.textom.co.kr/ [accessed 2024.08.28.]
  37. YU ES. 20204. An ice cream is sold like hot cakes even if it's expensive. The secret to his popularity is 2024. Available from: https://news.mt.co.kr/mtview.php?no=2024042411103460212, [accessed 2024.08.02]