{"title":"通过风险管理基础设施发展商业风险弹性:大数据分析的调节作用","authors":"Nitya P. Singh","doi":"10.1080/10580530.2020.1833386","DOIUrl":null,"url":null,"abstract":"ABSTRACT This article evaluates how firms are able to enhance the effectiveness of their Risk Management Infrastructure (RMI) by using Big Data Analytics (BDA) to improve their risk resilience capability. A theoretical model is developed and the corresponding hypothesis is tested through a survey instrument and quantitative analysis. The results show that if firms adopt BDA capabilities then it positively moderates the impact of RMI on risk resilience, improving the effectiveness of a risk management infrastructure.","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"39 1","pages":"34 - 52"},"PeriodicalIF":3.0000,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10580530.2020.1833386","citationCount":"13","resultStr":"{\"title\":\"Developing Business Risk Resilience through Risk Management Infrastructure: The Moderating Role of Big Data Analytics\",\"authors\":\"Nitya P. Singh\",\"doi\":\"10.1080/10580530.2020.1833386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This article evaluates how firms are able to enhance the effectiveness of their Risk Management Infrastructure (RMI) by using Big Data Analytics (BDA) to improve their risk resilience capability. A theoretical model is developed and the corresponding hypothesis is tested through a survey instrument and quantitative analysis. The results show that if firms adopt BDA capabilities then it positively moderates the impact of RMI on risk resilience, improving the effectiveness of a risk management infrastructure.\",\"PeriodicalId\":56289,\"journal\":{\"name\":\"Information Systems Management\",\"volume\":\"39 1\",\"pages\":\"34 - 52\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2020-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/10580530.2020.1833386\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Systems Management\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/10580530.2020.1833386\",\"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/10.1080/10580530.2020.1833386","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}
Developing Business Risk Resilience through Risk Management Infrastructure: The Moderating Role of Big Data Analytics
ABSTRACT This article evaluates how firms are able to enhance the effectiveness of their Risk Management Infrastructure (RMI) by using Big Data Analytics (BDA) to improve their risk resilience capability. A theoretical model is developed and the corresponding hypothesis is tested through a survey instrument and quantitative analysis. The results show that if firms adopt BDA capabilities then it positively moderates the impact of RMI on risk resilience, improving the effectiveness of a risk management infrastructure.
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.
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