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A Study on Dining-Out Trends Using Big Data: Focusing on Changes since COVID-19
| Content Provider | MDPI |
|---|---|
| Author | Jung, Hyo-Sun Yoon, Hye-Hyun Song, Min-Kyung |
| Copyright Year | 2021 |
| Description | 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. |
| Starting Page | 11480 |
| e-ISSN | 20711050 |
| DOI | 10.3390/su132011480 |
| Journal | Sustainability |
| Issue Number | 20 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-10-18 |
| Access Restriction | Open |
| Subject Keyword | Sustainability Information and Library Science Dining-out Trend Social Media Big Data Covid-19 Pandemic |
| Content Type | Text |
| Resource Type | Article |
