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Predicting factors affecting business operations during pandemic COVID-19
Kybernetes ; 2023.
Article in English | Scopus | ID: covidwho-2231175
ABSTRACT

Purpose:

The global COVID-19 pandemic has rapidly overwhelmed our societies, shocked the global economy and disturbed normal business operations. While such impacts of COVID-19 are becoming clearer, the effects of the disease on business operations are more common. This study mainly focuses on identifying the factors that affect the smooth operation of businesses during a pandemic situation. Design/methodology/

approach:

Analytical hierarchy process (AHP) method was used to rate the result index. A total of 40 professionals and experts of different businesses were listed on stock exchanges, and asked to rank the key variables with relative indices and weighting methods.

Findings:

The results of the AHP successfully assigned weighting scores to all key important factors during the COVID-19 pandemic situation that businesses should focus on, with economic factors receiving the highest score of 60%. Likewise, the other factors that impact values for business operations are reported as social (22%), legal (12.2%), technological (5.16%) and political (0.57%). The results of this study also match with the current policies adopted by different government and nongovernment agencies like the guidelines of the World Health Organization and some most recent research results. Originality/value In the hectic and growing environment under COVID-19 pandemic, more contributions are not enough, and it is helpful for the whole business industry and society by stipulating more views. This study aims to overview the global impacts and challenges of COVID-19 pandemic on business operations. © 2023, Emerald Publishing Limited.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: Kybernetes Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: Kybernetes Year: 2023 Document Type: Article