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The Consequences of COVID-19 Disruption on Sustainable Economy in the Top 30 High-Tech Innovative Countries.
Ikram, Muhammad; Sayagh, Youssef.
  • Ikram M; School of Business Administration, Al Akhawayn University in Ifrane, Avenue Hassan II, P.O. Box 104, 53000 Ifrane, Morocco.
  • Sayagh Y; School of Business Administration, Al Akhawayn University in Ifrane, Avenue Hassan II, P.O. Box 104, 53000 Ifrane, Morocco.
Glob J Flex Syst Manag ; 24(2): 247-269, 2023.
Article in English | MEDLINE | ID: covidwho-2296863
ABSTRACT
This study aims to investigate the effects of the COVID-19 pandemic on the innovation index, Gross Domestic Product (GDP), high technology exports, and human development (HDI) in the world's leading 30 high-tech innovative countries. Using grey relational analysis models, the association between COVID-19 and other economic development indices was investigated. The model selects the country least affected by the pandemic from the top 30 innovative countries through a conservative (maximin) method based on grey association values. Data was collected from World Bank databases and analyzed to compare pre- and post-COVID-19 periods (2019, 2020). The outcomes of this study provide essential recommendations for industries and decision-makers with suitable action plans to preserve economic systems from further harm caused by the global COVID-19 outbreak. The ultimate goal is to boost the innovation index, GDP, high-tech exports, and HDI of high-tech economies and pave the way for a sustainable economy. To the author's knowledge, this is the first study to develop a multidimensional framework to assess COVID-19's impact on the sustainable economy of top 30 high-tech innovative countries, and to conduct a comparative analysis to identify the strong and weak effects of COVID-19 on sustainable economic growth.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Long Covid Language: English Journal: Glob J Flex Syst Manag Year: 2023 Document Type: Article Affiliation country: S40171-023-00338-z

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Topics: Long Covid Language: English Journal: Glob J Flex Syst Manag Year: 2023 Document Type: Article Affiliation country: S40171-023-00338-z