000			03745nam a2200445 a 4500
001			000q0419
003			WSP
005			20250414083508.0
007			cr |nu|||unuuu
008			230413s2024 enk ob 001 0 eng d
010			_a 2023016699
020			_a9781800614239 _q(ebook)
020			_a1800614233 _q(ebook)
020			_z9781800614222 _q(hbk.)
040			_aWSPC _beng _cWSPC
050		4	_aHD61
072		7	_aBUS _x027020 _2bisacsh
072		7	_aBUS _x017000 _2bisacsh
072		7	_aBUS _x041000 _2bisacsh
082	0	4	_a658.15/5 _223
049			_aMAIN
245	0	0	_aCorporate risk management after the COVID-19 crisis _h[electronic resource] / _ceditors, Suman Lodh, Monomita Nandy.
260			_aLondon : _bWorld Scientific Publishing Europe Ltd., _cc2024.
300			_a1 online resource (xxix, 200 p.).
490	1		_aTransformations in banking, finance and regulation, _x2752-583X ; _vvol. 7
504			_aIncludes bibliographical references and index.
505	0		_aCOVID-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.
520			_a"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"-- _cPublisher's website.
538			_aMode of access: World Wide Web.
538			_aSystem requirements: Adobe Acrobat Reader.
650		0	_aRisk management.
650		0	_aCrisis management.
650		0	_aIndustrial management.
650		0	_aCOVID-19 Pandemic, 2020- _xEconomic aspects.
655		0	_aElectronic books.
700	1		_aLodh, Suman.
700	1		_aNandy, Monomita.
830		0	_aTransformations in banking, finance and regulation ; _vvol. 7.
856	4	0	_uhttps://www.worldscientific.com/worldscibooks/10.1142/q0419#t=toc _zAccess to full text is restricted to subscribers.
999			_c9965 _d9965