Research on the reconstruction of consumers, goods and scenes in new retail based on new technology

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Smart Cities Pub Date : 2020-09-04 DOI:10.1049/iet-smc.2020.0014
Wang Shucui, Yu Jinjun, Wang Hongli
{"title":"Research on the reconstruction of consumers, goods and scenes in new retail based on new technology","authors":"Wang Shucui,&nbsp;Yu Jinjun,&nbsp;Wang Hongli","doi":"10.1049/iet-smc.2020.0014","DOIUrl":null,"url":null,"abstract":"<div>\n <p>The concept of ‘new retail’ proposed by Alibaba is gradually getting recognised and being practiced by the world-leading e-commerce enterprises and traditional retailers, further, it will result in the reconfiguration of retail formats around the world. As a new retail benchmarking enterprise incubated by Alibaba, HEMA fresh has attracted extensive attention from domestic and foreign media and business circles. Based on the typical new retail format of HEMA fresh food initiated by Alibaba, ‘fresh supermarket + catering experience + online business warehousing’ innovative business model, this study systematically analyses the reconstruction path of new retail format driven by new technology, and finds that customers, goods and scenes are the three leading elements in the reconstruction process of new retail format. These three elements evolve and match with each other under the support of a new technology environment, creating new consumption scenarios for consumers. Finally, this study looks forward to the future of the new retail industry.</p>\n </div>","PeriodicalId":34740,"journal":{"name":"IET Smart Cities","volume":"2 3","pages":"122-125"},"PeriodicalIF":2.1000,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1049/iet-smc.2020.0014","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Smart Cities","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/iet-smc.2020.0014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 1

Abstract

The concept of ‘new retail’ proposed by Alibaba is gradually getting recognised and being practiced by the world-leading e-commerce enterprises and traditional retailers, further, it will result in the reconfiguration of retail formats around the world. As a new retail benchmarking enterprise incubated by Alibaba, HEMA fresh has attracted extensive attention from domestic and foreign media and business circles. Based on the typical new retail format of HEMA fresh food initiated by Alibaba, ‘fresh supermarket + catering experience + online business warehousing’ innovative business model, this study systematically analyses the reconstruction path of new retail format driven by new technology, and finds that customers, goods and scenes are the three leading elements in the reconstruction process of new retail format. These three elements evolve and match with each other under the support of a new technology environment, creating new consumption scenarios for consumers. Finally, this study looks forward to the future of the new retail industry.

Abstract Image

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
基于新技术的新零售消费者、商品、场景重构研究
阿里巴巴提出的“新零售”概念正逐渐被世界领先的电子商务企业和传统零售商所认可和实践,并将导致全球零售业态的重新配置。作为阿里巴巴孵化的新零售标杆企业,盒马鲜生受到了国内外媒体和商界的广泛关注。本研究以阿里巴巴发起的盒马鲜生典型新零售业态“生鲜超市+餐饮体验+网商仓储”创新商业模式为基础,系统分析了新技术驱动下的新零售业态重构路径,发现客户、商品、场景是新零售业态重构过程中的三大主导要素。这三个要素在新的技术环境的支持下,相互演化、相互匹配,为消费者创造新的消费场景。最后,本研究对新零售行业的未来进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
期刊最新文献
Guest Editorial: Smart cities 2.0: How Artificial Intelligence and Internet of Things are transforming urban living Smart city fire surveillance: A deep state-space model with intelligent agents Securing smart cities through machine learning: A honeypot-driven approach to attack detection in Internet of Things ecosystems Smart resilience through IoT-enabled natural disaster management: A COVID-19 response in São Paulo state Optimising air quality prediction in smart cities with hybrid particle swarm optimization-long-short term memory-recurrent neural network model
×
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