Inflation rate and COVID-19: a bibliometric analysis using R

Siti Asmah Juhan and Suddin Lada and Mat Salleh @ Salleh Wahab and Faerozh Madli (2023) Inflation rate and COVID-19: a bibliometric analysis using R. Journal of the Asian Academy of Applied Business, 8. pp. 1-22. ISSN 1675-9869

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Abstract

This research intends to investigate the connection between the inflation rate and COVID-19 through a literature review and bibliometric analysis. The research set out to rigorously document the author's and source's relevance by cataloging their theoretical framework, total output, and emerging knowledge trends. Information is gathered and analysed using Microsoft Excel and R Studio from Scopus databases. Based on a large body of literature, we compiled a searchable database of the 205 most pertinent documents and papers over the last three years. According to preliminary statistics, there was a rise in the number of studies on the inflation rate and COVID-19 between 2020 and 2022. The most significant journals, authors, documents and papers on the subject are identified using bibliometric analysis using R. By combining the most important aspects of the inflation rate and COVID-19 into a single idea, this study shows how a new research topic can be developed, establishing new study avenues in the vast subject of the inflation rate as well as the recently developed and fiercely fought topic of COVID-19.

Item Type:	Article
Keyword:	Inflation rate, COVID-19, bibliometric analysis
Subjects:	H Social Sciences > HA Statistics > HA1-4737 Statistics > HA154-4737 Statistical data R Medicine > RA Public aspects of medicine > RA1-1270 Public aspects of medicine > RA421-790.95 Public health. Hygiene. Preventive medicine > RA643-645 Disease (Communicable and noninfectious) and public health
Department:	FACULTY > Faculty of Business, Economics and Accounting
Depositing User:	SITI AZIZAH BINTI IDRIS -
Date Deposited:	26 Nov 2024 13:33
Last Modified:	26 Nov 2024 13:33
URI:	https://eprints.ums.edu.my/id/eprint/41987

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