Post Covid-19 and business analytics

Lodh, Suman ORCID: and Nandy, Monomita (2020) Post Covid-19 and business analytics. In: Intelligent systems and methods to combat COVID-19. Springer. . (Accepted/In press)

[img] PDF - Final accepted version (with author's formatting)
Restricted to Repository staff and depositor only

Download (346kB)


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.

Item Type: Book Section
Keywords (uncontrolled): Artificial Intelligence, Crisis, Covid-19, Artificial Neural Network, Coronavirus, Economic development
Research Areas: A. > Business School
A. > Business School > Accounting and Finance
Item ID: 29833
Useful Links:
Depositing User: Suman Lodh
Date Deposited: 11 May 2020 17:22
Last Modified: 11 May 2020 17:22

Actions (login required)

Edit Item Edit Item

Full text downloads (NB count will be zero if no full text documents are attached to the record)

Downloads per month over the past year