Guest editorial: Modelling the business and societal decisions under the impact of COVID-19

Shah, Bhavin; Kumar, Vikas; Ekren, Banu Yetkin; Frederico, Guilherme

Abstract

A recent literature base shows that the researchers (Roda et al. 2020) have addressed multiple healthcare issues during the lockdowns and unlock periods (between March 2020-March 2021) to mitigate the effects of Corona Virus Disease-2019 (COVID-19) transmission. Though, modelling approach is found to be benefitial in analyzing widespread of pandemic and formulation of business, economic, and societal strategies pertaining to quarantine and isolations (Hellewell et al. 2020), physical distancing (Robertson, 2019), and healthcare infrastructure capacities estimation (Wood et al. 2020). Frequent variants and waves of the pandemic disrupts the economies, work normalcy, as well as mental fitness of the society which demands rerunning of proposed models with relevant business scenarios to control unforeseen situation more accurately. The supportive models would assist government authorities to decide with policies for lifting up the economy during-and-post pandemic while balancing societal health. Further to this, it is required to confirm that weather the existing models are competent enough to speculate the unforeseen economical challenges resulting from the COVID-19? Also, the regulatory egencies and economists are not aware with, how much spending on healthcare research, development, and management affect economical growth? Hence, it is thought that there is a need of dedicated research theme that looks forward the post COVID-19 management challenges through modeling approach.

• Journal Article Type: Editorial
• Acceptance Date: Oct 13, 2022
• Online Publication Date: May 29, 2023
• Publication Date: May 29, 2023
• Deposit Date: Oct 13, 2022
• Publicly Available Date: Aug 17, 2023
• Journal: Journal of Modelling in Management
• Print ISSN: 1746-5664
• Publisher: Emerald
• Peer Reviewed: Peer Reviewed
• Volume: 18
• Issue: 4
• Pages: 1017-1021
• DOI: https://doi.org/10.1108/JM2-10-2022-0237
• Keywords: COVID-19
• Public URL: https://uwe-repository.worktribe.com/output/10038921