Related Experiment Video
Updated: Sep 20, 2025

05:02
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
32.1K
COVID-19 research in management: An updated bibliometric analysis
Hossein Hashemi1, Reza Rajabi2, Thomas G Brashear-Alejandro3,1
1Department of Marketing, Isenberg School of Management, University of Massachusetts, Amherst, United States.
Summary
This study analyzes management research on COVID-19
Area of Science:
- Management Science
- Bibliometrics
- Pandemic Studies
Background:
- The COVID-19 pandemic significantly impacted global economies and academic research.
- Management scholars rapidly investigated the pandemic's effects on consumption, sourcing, the workplace, and corporate strategies since early 2020.
Purpose of the Study:
- To conduct a bibliometric analysis of COVID-19 research in management literature over a two-year period.
- To identify key research themes, their categorization, and future research directions.
Main Methods:
- Bibliometric design applied to a comprehensive database of COVID-19 management studies.
- Analysis included research performance, thematic analysis, and categorization of themes (societal, organizational, individual).
Main Results:
- Identified the performance of research constituents within the COVID-19 management literature.
- Thematic analysis revealed key areas of focus, categorized at societal, organizational, and individual levels.
- Future research calls within the literature were systematically analyzed.
Conclusions:
- The study provides a structured overview of the burgeoning COVID-19 management research landscape.
- Highlights the research community's response and identifies critical areas for future investigation in pandemic-related management studies.
Related Concept Videos
Steps in Outbreak Investigation
220
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
220
Statistical Methods for Analyzing Epidemiological Data
561
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
561
Single Nucleotide Polymorphisms-SNPs
16.0K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
16.0K
Chi-square Analysis
38.8K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
38.8K
Pareto Chart
7.0K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.0K
Genomics
37.6K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
37.6K

