Analysis for Daily Food Delivery & Consumption Trends in the Post-Covid-19 Era through Big Data
2
조회
0
다운로드
7
인용
0
참고문헌
키워드
초록
In this paper, we suggest a method of analysis for daily food delivery & consumption trends through big data of the post-Covid-19 era. Through analysis of big data and the database system, four analyzed factors, excluding weather, was proved to have significant correlation with delivery sales for ‘Baedarui Minjok’ of a catering delivery application. The research found that KBS, MBC and SBS Media showed remarkable results in food delivery & consumption sales soaring up to about 60 percent increase on the day after the Covid-19 related new article was issued. In addition, it proved that mobile media and web surfing were the main factors in increasing sales of food delivery & consumption applications, suggesting that viral marketing and emotional analysis by crawling data from SNS used by Millennials might be an important factor in sales growth. It can contribute the companies in the economic recession era to survive by providing the method for analyzing the big data and increasing their sales.
Abstract
In this paper, we suggest a method of analysis for daily food delivery & consumption trends through big data of the post-Covid-19 era. Through analysis of big data and the database system, four analyzed factors, excluding weather, was proved to have significant correlation with delivery sales for ‘Baedarui Minjok’ of a catering delivery application. The research found that KBS, MBC and SBS Media showed remarkable results in food delivery & consumption sales soaring up to about 60 percent increase on the day after the Covid-19 related new article was issued. In addition, it proved that mobile media and web surfing were the main factors in increasing sales of food delivery & consumption applications, suggesting that viral marketing and emotional analysis by crawling data from SNS used by Millennials might be an important factor in sales growth. It can contribute the companies in the economic recession era to survive by providing the method for analyzing the big data and increasing their sales.
참고문헌 (25)
- Bruce Lehrman, "Big Data’s Role in the Post-COVID Era", Data Agility, 16(11) (2020)
- Jun Wu, "Application of Big Data Technology for COVID-19 Prevention and Control in China: Lessons and Recommendations", Journal of Medical Internet Research, 22(10), pp.e21980~ (2020), JMIR Publications Inc.[DOI]
- Hanghun Jo, "Changes in Consumer Behaviour in the Post-COVID-19 Era in Seoul, South Korea", Sustainability, 13(1), pp.136~ (2021), MDPI AG[DOI]
- Jagdish Sheth, "Impact of Covid-19 on consumer behavior: Will the old habits return or die?", Journal of Business Research, 117, pp.280~283 (2020), Elsevier BV[DOI]
- Victor Fabius, "How COVID-19 is Changing Consumer Behavior—Now and Forever" (2020), McKinsey & Company
- Y. Bae, "COVID-19, Accelerating the Non-contact Society", GRI Issue Analysis, 416, pp.1~21 (2020)
- Hung‐Hao Chang, "COVID ‐19 and the Demand for Online Food Shopping Services: Empirical Evidence from Taiwan", American Journal of Agricultural Economics, 103(2), pp.448~465 (2021), Wiley[DOI]
- Duralia Oana, "The Impact of the Current Crisis Generated by the Pandemic on Consumer Behavior", Studies in Business and Economics, 15(2), pp.2020~0027 (2020)[DOI]
- "71% of Adults -- Covid-19 increased 'untact consumption'!" (2020)[URL]
- "More than half of the doctors said, domestic Covid-19will be prolonged... 85.4% of them said. reduced patients and sales will be cotinued"[URL]
- "It's stuffy outside the blanket.-- Untact consumption explosion"[URL]
- "When is it going to be over? -- Covid-19, Red to Black…Mind health -- What do I do?"[URL]
- "How far have you come with the untact technology?"[URL]
- "Woowa Brothers Corp., 500 Billion in Sales...Turn to Deficit in Four Years"[URL]
- "Naver Data Lab"[URL]
- "Meteorological Data Open Portal, Automated Surface Observing System(ASOS)", ~
- "Financial Data Exchange, Samples of Sales Data for Customers and Restaurants Using KB Card Delivery Application", ~
- "Statistical Database:Population" (2020)[URL]
- "Covid-19 Occurrence Status"[URL]
- "KBS"[URL]
- "SBS"[URL]
- "MBC"[URL]
- Gyusung Lee, "Analysis on the Survival Strategies of Restaurant Companies with the Appearance of Covid-19", Master, pp.2020
- 이성호, "신용카드 빅데이터를 활용한 코로나19 발생의 지역상권 영향 분석: 수원시를 사례로", 공간과 사회, 30(3), pp.167~208 (2020), 한국공간환경학회[DOI]
- Jaeyun Choi, "Effects of Social Risk from Corona-19(COVID-19) on Consumer Sentiment and HMR Purchasing Patterns", pp.2020