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

IF 3 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Nitya P. Singh
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引用次数: 13

摘要

本文评估了企业如何能够通过使用大数据分析(BDA)来提高其风险抵御能力,从而提高其风险管理基础设施(RMI)的有效性。建立了理论模型,并通过调查仪器和定量分析对相应的假设进行了检验。结果表明,如果企业采用BDA能力,那么它正向调节RMI对风险弹性的影响,提高风险管理基础设施的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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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.
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