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Corporate risk management after the COVID-19 crisis [electronic resource] / editors, Suman Lodh, Monomita Nandy.

Contributor(s): Material type: TextTextSeries: Transformations in banking, finance and regulation ; vol. 7.Publication details: London : World Scientific Publishing Europe Ltd., c2024.Description: 1 online resource (xxix, 200 p.)ISBN:
  • 9781800614239
  • 1800614233
Subject(s): Genre/Form: DDC classification:
  • 658.15/5 23
LOC classification:
  • HD61
Online resources:
Contents:
COVID-19, the growth of Fintech, and the rise of risk management challenges -- The impact of the COVID-19 pandemic and the European Union Artificial Intelligence Act on the implementation of AI systems in Europe -- Method development aspects of liquidity risk modelling: dynamic algorithms for reinforcement machine learning under crisis market perspectives -- Corporate governance in banking industry: a case of Indian banking sector pre and post COVID-19 -- The impact of COVID-19 crisis on SMEs and their risk management and survival strategies: evidence from Nigeria -- Artificial intelligence, T-shaped teams, and risk management post COVID-19 and beyond.
Summary: "The coronavirus crisis and related business failure are widely discussed in recent times. The unique nature of the COVID-19 crisis has raised several concerns about the risk management models adopted by many businesses. It is difficult for companies to understand which factors to consider in their business model to adeptly deal with the new risks associated with COVID-19. Few businesses managed to continue their operation, especially if their existing risk management strategies were broader before the crisis. The financial crisis created by coronavirus pandemic highlights the importance of further research in risk management, which will allow businesses to identify a feasible model to handle various risks in the ongoing crisis recovery period. Existing academic studies present discussions around a need for revised risk management models, importance of Artificial Intelligence, or other advanced technologies in risk management. It is therefore vital to conduct a detailed study to understand how the risk management strategies of the businesses should be revised following the COVID-19 crisis, to adapt to the changes brought about by the pandemic. This textbook 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 policy makers looking for necessary policy changes that support businesses"-- Publisher's website.
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Item type Current library Status Barcode
Books Books Centerville Available 1000000089
Books Books Centerville Available 1000000090
Books Books Centerville Available 1000000091

Includes bibliographical references and index.

COVID-19, the growth of Fintech, and the rise of risk management challenges -- The impact of the COVID-19 pandemic and the European Union Artificial Intelligence Act on the implementation of AI systems in Europe -- Method development aspects of liquidity risk modelling: dynamic algorithms for reinforcement machine learning under crisis market perspectives -- Corporate governance in banking industry: a case of Indian banking sector pre and post COVID-19 -- The impact of COVID-19 crisis on SMEs and their risk management and survival strategies: evidence from Nigeria -- Artificial intelligence, T-shaped teams, and risk management post COVID-19 and beyond.

"The coronavirus crisis and related business failure are widely discussed in recent times. The unique nature of the COVID-19 crisis has raised several concerns about the risk management models adopted by many businesses. It is difficult for companies to understand which factors to consider in their business model to adeptly deal with the new risks associated with COVID-19. Few businesses managed to continue their operation, especially if their existing risk management strategies were broader before the crisis. The financial crisis created by coronavirus pandemic highlights the importance of further research in risk management, which will allow businesses to identify a feasible model to handle various risks in the ongoing crisis recovery period. Existing academic studies present discussions around a need for revised risk management models, importance of Artificial Intelligence, or other advanced technologies in risk management. It is therefore vital to conduct a detailed study to understand how the risk management strategies of the businesses should be revised following the COVID-19 crisis, to adapt to the changes brought about by the pandemic. This textbook 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 policy makers looking for necessary policy changes that support businesses"-- Publisher's website.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

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