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http://dx.doi.org/10.9708/jksci.2021.26.01.231

Analysis for Daily Food Delivery & Consumption Trends in the Post-Covid-19 Era through Big Data  

Jeong, Chan-u (Dept. of Mgmt. Information System, Hankuk University of Foreign Studies)
Moon, Yoo-Jin (Dept. of Mgmt. Information System, Hankuk University of Foreign Studies)
Hwang, Young-Ho (Division of Public Admin. & Economics, Kunsan National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.26, no.1, 2021 , pp. 231-238 More about this Journal
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.
Keywords
Database; Covid-19; Consumption trend; The confirmed; Consumption prediction;
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