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.

KEYWORDS:

• Big Data Analytics
• IT Infrastructure capability
• IS strategy
• Risk Management Infrastructure
• Business Risk Resilience

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

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Notes on contributors

Nitya Singh

Nitya Singh is an Assistant Professor of Management at the Franklin P. Perdue School of Business, Salisbury University, USA. He earned a Ph.D. in Manufacturing and Technology Management from the College of Business, the University of Toledo; and a Ph.D. in Political Science and International Affairs from the University of Georgia, USA. He holds an MBA from a premier business school in India, and has extensive industry and academic work experience. His research interests are in the areas of strategic management, supply chain risk management, internationalization strategies of emerging multinational corporations, big data analytics, and global supply chain management.