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 工程技术-计算机：信息系统

CiteScore

14.60

自引率

1.60%

发文量

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.