Post Covid-19 and business analytics
Book chapter
Nandy, M. and Lodh, S. 2020. Post Covid-19 and business analytics. in: Joshi, A., Dey, N. and Santosh, K. (ed.) Intelligent Systems and Methods to Combat Covid-19 Springer Singapore. pp. 83-91
Chapter title | Post Covid-19 and business analytics |
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Authors | Nandy, M. and Lodh, S. |
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. |
Keywords | Artificial Intelligence, Crisis, Covid-19, Artificial Neural Network, Coronavirus, Economic development |
Page range | 83-91 |
Book title | Intelligent Systems and Methods to Combat Covid-19 |
Editors | Joshi, A., Dey, N. and Santosh, K. |
Publisher | Springer Singapore |
Series | SpringerBriefs in Applied Sciences and Technology |
ISBN | |
Paperback | 9789811565717 |
Electronic | 9789811565724 |
Publication dates | |
Online | 27 Aug 2020 |
27 Aug 2020 | |
Publication process dates | |
Deposited | 11 May 2020 |
Accepted | 05 May 2020 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | This is an author’s accepted manuscript version of a chapter published in Intelligent Systems and Methods to Combat Covid-19. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-981-15-6572-4_10 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-981-15-6572-4_10 |
Language | English |
https://repository.mdx.ac.uk/item/88yv5
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