Nandy, Monomita and Lodh, Suman (2020) Post Covid-19 and business analytics. In: Joshi, Amit , Dey, Nilanjan and Santosh, K. C., (eds.) Intelligent Systems and Methods to Combat Covid-19. Singapore : Springer. pp. 83-91. (Springer Briefs in Applied Sciences and Technology) ISBN 978981156571

Abstract

This paper highlights the way companies can apply artificial intelligence (AI) in the post Covid-19 period. We show that how the AI can be advantageous to develop an inclusive model and apply to the businesses of various sizes. The recommendation can be beneficial for academic researchers to identify several ways to overcome the obstacles that companies may face in post Covid-19 period. The paper also addresses few major global issues, which can assist the policy makers to consider developing a business model to bounce back the world economy after this crisis is over. Overall, this paper enhances the understanding of stakeholders of business about the importance of application of the AI in businesses in a volatile market in post Covid-19 period.

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Official URL:	https://doi.org/10.1007/978-981-15-6572-4_10
Item Type:	Book Section
Uncontrolled Keywords:	artificial intelligence; crisis; Covid-19; artificial neural network; coronavirus; economic development
Research Area:	Research Areas > Accounting and finance
Faculty, School or Research Centre:	Kingston Business School > Department of Accountancy, Finance and Informatics
Series Name:	Springer Briefs in Applied Sciences and Technology
Related URLs:	Publisher
Related Records:	Middlesex University Repository record
Date Deposited:	09 Nov 2022 16:18
Last Modified:	08 Dec 2022 10:56
DOI:	https://doi.org/10.1007/978-981-15-6572-4_10
URI:	https://eprints.kingston.ac.uk/id/eprint/52701

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