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A Study on Dining-Out Trends Using Big Data: Focusing on Changes since COVID-19

Author

Listed:
  • Hyo-Sun Jung

    (Center for Converging Humanities, KyungHee University, Seoul 02447, Korea)

  • Hye-Hyun Yoon

    (Department of Culinary Arts and Food Service Management, KyungHee University, Seoul 02447, Korea)

  • Min-Kyung Song

    (Department of Culinary Arts and Food Service Management, KyungHee University, Seoul 02447, Korea)

Abstract

This study examined consumers’ emotions and needs related to dining-out experiences before and during the COVID-19 crisis. This study identifies words closely associated with the keyword “dining-out” based on big data gleaned from social media and investigates consumers’ perceptions of dining-out and related issues before and after COVID-19. The research findings can be summarized as follows: In 2019, frequently appearing dining-related words were dining-out, family, famous restaurant, recommend, and dinner. In 2020, they were dining-out, family, famous restaurant, and Corona. The analysis results for the dining-out sentimental network based on 2019 data revealed discourses revolving around delicious, nice, and easily. For the 2020 data, discourses revolved around struggling, and, cautious. The analysis of consumers’ dining-out demand network for 2019 data showed discourses centered around reservation, famous restaurant, meal, order, and coffee. However, for 2020 data, discourses were formed around delivery, price, order, take-out, and social distance. In short, with the outbreak of the pandemic, delivery, takeout, and social distance emerged as new search words. In addition, compared with before the COVID-19 pandemic, a weakening trend in positive emotions and an increasing trend in negative emotions were detected after the outbreak of the COVID-19 pandemic; specifically, fear was found to be the fear emotion.

Suggested Citation

  • Hyo-Sun Jung & Hye-Hyun Yoon & Min-Kyung Song, 2021. "A Study on Dining-Out Trends Using Big Data: Focusing on Changes since COVID-19," Sustainability, MDPI, vol. 13(20), pages 1-23, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11480-:d:658593
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    References listed on IDEAS

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    1. Bender, Kathryn E. & Badiger, Aishwarya & Roe, Brian E. & Shu, Yiheng & Qi, Danyi, 2022. "Consumer behavior during the COVID-19 pandemic: An analysis of food purchasing and management behaviors in U.S. households through the lens of food system resilience," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    2. Yun-A Sung & Kyung-Won Kim & Hee-Ju Kwon, 2020. "Big Data Analysis of Korean Travelers’ Behavior in the Post-COVID-19 Era," Sustainability, MDPI, vol. 13(1), pages 1-21, December.
    3. Iwona Kowalczuk & Dagmara Stangierska & Jerzy Gębski & Agnieszka Tul-Krzyszczuk & Edyta Zmudczyńska, 2021. "Digital Consumers in the Foodservices Market," Sustainability, MDPI, vol. 13(13), pages 1-18, July.
    4. Susan (Sixue) Jia, 2021. "Analyzing Restaurant Customers’ Evolution of Dining Patterns and Satisfaction during COVID-19 for Sustainable Business Insights," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    5. Mangold, W. Glynn & Faulds, David J., 2009. "Social media: The new hybrid element of the promotion mix," Business Horizons, Elsevier, vol. 52(4), pages 357-365, July.
    6. Dimitrios Kydros & Maria Argyropoulou & Vasiliki Vrana, 2021. "A Content and Sentiment Analysis of Greek Tweets during the Pandemic," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    7. Omar Alsetoohy & Baker Ayoun & Mahmoud Abou-Kamar, 2021. "COVID-19 Pandemic Is a Wake-Up Call for Sustainable Local Food Supply Chains: Evidence from Green Restaurants in the USA," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
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    Cited by:

    1. Mian Yang & Wenjie Fan & Jian Qiu & Sining Zhang & Jinting Li, 2022. "The Evaluation of Rural Outdoor Dining Environment from Consumer Perspective," IJERPH, MDPI, vol. 19(21), pages 1-16, October.
    2. Unji Baek & Seul Ki Lee, 2023. "Pandemic Dining Dilemmas: Exploring the Determinants of Korean Consumer Dining-Out Behavior during COVID-19," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    3. Jina Jang & Eunjung Lee & Hyosun Jung, 2022. "A Study of Consumers’ Perceptions of Take-Out Food before and after the COVID-19 Outbreak: Applying Big Data Analysis," Sustainability, MDPI, vol. 14(19), pages 1-23, September.

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