小商店的数据挖掘:通过忠诚度计划的BI功能为实体店赋权1

IF 3 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Systems Management Pub Date : 2020-12-14 DOI:10.1080/10580530.2020.1855486
M. Kamm, Jan-Peter Kucklick, Johannes Schneider, J. Brocke
{"title":"小商店的数据挖掘:通过忠诚度计划的BI功能为实体店赋权1","authors":"M. Kamm, Jan-Peter Kucklick, Johannes Schneider, J. Brocke","doi":"10.1080/10580530.2020.1855486","DOIUrl":null,"url":null,"abstract":"ABSTRACT While the analysis and usage of data are increasing in importance, the application of sophisticated BI solutions in small stores is limited by available technical capabilities and financial resources. This study investigates how brick-and-mortar stores can benefit from an expansion of service functionalities of a cross-industry loyalty card provider. Digitalizing the loyalty program created new opportunities, while the analysis of shopping data of 13 years, 19,000 customers, and 55 shops empowered data-based decision support.","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10580530.2020.1855486","citationCount":"1","resultStr":"{\"title\":\"Data mining for small shops: Empowering brick-and-mortar stores through BI functionalities of a loyalty program1\",\"authors\":\"M. Kamm, Jan-Peter Kucklick, Johannes Schneider, J. Brocke\",\"doi\":\"10.1080/10580530.2020.1855486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT While the analysis and usage of data are increasing in importance, the application of sophisticated BI solutions in small stores is limited by available technical capabilities and financial resources. This study investigates how brick-and-mortar stores can benefit from an expansion of service functionalities of a cross-industry loyalty card provider. Digitalizing the loyalty program created new opportunities, while the analysis of shopping data of 13 years, 19,000 customers, and 55 shops empowered data-based decision support.\",\"PeriodicalId\":56289,\"journal\":{\"name\":\"Information Systems Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2020-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/10580530.2020.1855486\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Systems Management\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/10580530.2020.1855486\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems Management","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/10580530.2020.1855486","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 1

摘要

摘要尽管数据的分析和使用越来越重要,但复杂的BI解决方案在小型商店中的应用受到可用技术能力和财务资源的限制。这项研究调查了实体店如何从跨行业忠诚卡提供商的服务功能扩展中受益。忠诚度计划的数字化创造了新的机会,而对13年、19000名顾客和55家商店的购物数据的分析为基于数据的决策支持提供了支持。
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
Data mining for small shops: Empowering brick-and-mortar stores through BI functionalities of a loyalty program1
ABSTRACT While the analysis and usage of data are increasing in importance, the application of sophisticated BI solutions in small stores is limited by available technical capabilities and financial resources. This study investigates how brick-and-mortar stores can benefit from an expansion of service functionalities of a cross-industry loyalty card provider. Digitalizing the loyalty program created new opportunities, while the analysis of shopping data of 13 years, 19,000 customers, and 55 shops empowered data-based decision support.
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
Information Systems Management
Information Systems Management 工程技术-计算机:信息系统
CiteScore
14.60
自引率
1.60%
发文量
20
审稿时长
>12 weeks
期刊介绍: Information Systems Management (ISM) is the on-going exchange of academic research, best practices, and insights based on managerial experience. The journal’s goal is to advance the practice of information systems management through this exchange. To meet this goal, ISM features themed papers examining a particular topic. In addition to themed papers, the journal regularly publishes on the following topics in IS management. Achieving Strategic IT Alignment and Capabilities IT Governance CIO and IT Leadership Roles IT Sourcing Planning and Managing an Enterprise Infrastructure IT Security Selecting and Delivering Application Solutions Portfolio Management Managing Complex IT Projects E-Business Technologies Supporting Knowledge Work The target readership includes both academics and practitioners. Hence, submissions integrating research and practice, and providing implications for both, are encouraged.
期刊最新文献
Understanding the Effect of Environment- and Organization-Specific Factors on Sustained Crowdsourcing Contest Participation How Ratings Shape the Supply on Sharing Economy Platforms: A Longitudinal Cohort Study on Listing Survival on Airbnb Continuance in Portuguese Peer-To-Peer Accommodation Services Through the Lens of Process Virtualization Theory A Cross-Country Study on Digital Payment Considering Cultural Dimensions Explaining Social Media Use Reduction As an Adaptive Coping Mechanism: The Roles of Privacy Literacy, Social Media Addiction and Exhaustion
×
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