CORPORATE RISK MANAGEMENT AFTER THE COVID-19 CRISIS

The coronavirus crisis and related business failures are widely discussed topics, with COVID-19 raising many concerns about existing risk management models. Many companies have struggled to understand which factors to consider in their business model to address the new risks associated with the pandemic. The resulting financial crisis has highlighted the importance of further research on risk management that will allow businesses to develop feasible models for handling various risks in the ongoing crisis and recovery period.

Existing academic studies emphasise the necessity of revised risk management models, but focus on the risk posed by Artificial Intelligence and other advanced technologies. The detailed study thus fulfils the vital need to understand how the risk management strategies of businesses should be revised, to adapt to changes brought about by the pandemic.

This book is essential reading for students studying risk management, researchers examining the relation between advanced technology and risk management mitigation strategies, businesses working on their strategies around managing risk, and policymakers looking for necessary policy changes for an effective support to businesses.

Contents:

• About the Editors
• About the Contributors
• Introduction: Problematising the Post-Pandemic Corporate Risk Management — Future Directions of Research (Monomita Nandy and Suman Lodh)
• COVID-19, the Growth of Fintech, and the Rise of Risk Management Challenges (Imad A Moosa)
• The Impact of the COVID-19 Pandemic and the European Union Artificial Intelligence Act on the Implementation of AI Systems in Europe (Ewa Dalek-Trudnowska)
• Method Development Aspects of Liquidity Risk Modelling: Dynamic Algorithms for Reinforcement Machine Learning Under Crisis Market Perspectives (Mazin A M Al Janabi)
• Corporate Governance in Banking Industry: A Case of Indian Banking Sector Pre & Post COVID-19 (Neha Puri and Vikas Garg)
• The Impact of COVID-19 Crisis on SMEs and Their Risk Management and Survival Strategies: Evidence from Nigeria (Ignatius Ekanem and Dolapo Lawrence)
• Artificial Intelligence, T-Shaped Teams, and Risk Management Post COVID-19 and Beyond (Linh Tu Ho and Christopher Gan)
• Index

Readership: For students studying Business Finance, Business Analytics, Entrepreneurship, Finance, Accounting.

Key Features:

• The book explains how businesses of different sizes could address risk management challenges, especially those related to the COVID-19 crisis by using advanced technology
• The book is topical. It covers challenges faced by big companies as well as small and medium sized businesses
• This is an interdisciplinary book, linking the topic of risk management related to the COVID-19 for different sized businesses from different countries