基于大数据的后冠状病毒时代日常食品配送与消费趋势分析

Chan-u Jeong, Yoo-Jin Moon, Youngho Hwang
{"title":"基于大数据的后冠状病毒时代日常食品配送与消费趋势分析","authors":"Chan-u Jeong, Yoo-Jin Moon, Youngho Hwang","doi":"10.9708/JKSCI.2021.26.01.231","DOIUrl":null,"url":null,"abstract":"[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","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"34 1","pages":"231-238"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Analysis for Daily Food Delivery & Consumption Trends in the Post-Covid-19 Era through Big Data\",\"authors\":\"Chan-u Jeong, Yoo-Jin Moon, Youngho Hwang\",\"doi\":\"10.9708/JKSCI.2021.26.01.231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"[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\",\"PeriodicalId\":17254,\"journal\":{\"name\":\"Journal of the Korea Society of Computer and Information\",\"volume\":\"34 1\",\"pages\":\"231-238\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Korea Society of Computer and Information\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9708/JKSCI.2021.26.01.231\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Korea Society of Computer and Information","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9708/JKSCI.2021.26.01.231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

[摘要]本文提出了一种基于后新冠时代大数据的日常外卖消费趋势分析方法。通过对大数据和数据库系统的分析,证明了除天气外,所分析的四个因素与餐饮外卖应用“百达瑞民宿”的外卖销售有显著的相关性。调查结果显示,KBS、MBC、SBS媒体在新冠肺炎相关报道发表的第二天,外卖和消费销售额增长了60%左右,取得了显著的成绩。此外,它还证明了移动媒体和上网是促进外卖和消费应用销售增长的主要因素,这表明病毒式营销和通过抓取千禧一代使用的社交网络数据进行情感分析可能是促进销售增长的重要因素。它可以提供大数据分析的方法,增加企业的销售额,为经济衰退时代的企业生存做出贡献
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Analysis for Daily Food Delivery & Consumption Trends in the Post-Covid-19 Era through Big Data
[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
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Comparison of the Clinical Competence, Knowledge of Patient Safety Management and Confidence of Patient Safety Management according to Clinical Practice Experience of Nursing Students A study on the impact of host's personalized offline services and platform ease of use on shared homestay consumers' purchase intention Deep Learning-Based Brain Tumor Classification in MRI images using Ensemble of Deep Features Methodology for Search Intent-based Document Recommendation A Classification Model for Illegal Debt Collection Using Rule and Machine Learning Based Methods
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1