3.8 Article

A Comparative Analysis of Business and Economics Researchers in the Visegrad Group of Countries, Austria and Romania Based on the Data Obtained from SciVal and Scopus

Journal

STATISTIKA-STATISTICS AND ECONOMY JOURNAL
Volume 103, Issue 3, Pages 324-341

Publisher

CESKY STATISTICAL OFFICE
DOI: 10.54694/stat.2023.5

Keywords

Science metrics; economics; management; multivariate statistics

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Research background: This paper aims to compare the performance of economic researchers in Austria, Romania, and the Visegrad 4 countries (Czech Republic, Hungary, Poland, and Slovakia) using indicators from Scopus and SciVal databases. The study defines an economic researcher using database indicators and focuses on the statistical properties of these indicators and the grouping of researchers from different countries. The paper's purpose is to present key indicators, group researchers, and compare publication performance. The study uses principal component analysis, multicollinearity analysis, and correlation analysis. The findings show that Austrian economic researchers perform the best.
Research background: The aim of the paper is to compare the performance of economic researchers in Austria, Romania and the Visegrad 4 (Czech Republic, Hungary, Poland, and Slovakia) using performance indicators of researchers from the Scopus and SciVal databases. In the comparison of countries, Austria is included as a benchmark country, while the other five countries represent the countries of the former Eastern bloc. In the study, the definition of an economic researcher is based on indicators that can be obtained from databases. The study focuses first on the statistical properties of the indicators and then groups' researchers from countries using these indicators.Purpose of the article: Paper pursued two goals. First, by presenting the relationships between the data obtained from the Scopus/SciVal databases, to present the most important key indicators, then to group the researchers with the help of the analyzed indicators, and to compare the publication performance of the chosen countries. A researcher is considered to be an economic researcher in the study whose at least thirty percent of the published articles in the SCImago database are in the subject areas of Business, Management, and Accounting and Economics, Econometrics, and Finance.Methods: Three methods were used to perform the study. First, principal component analysis, multicollinearity analysis with variance inflation factor (VIF), and partial correlation analysis were performed using the correlation matrix. Second, using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) ranking procedure, researchers from each country were ranked using indicators. Finally, the distribution of ninths and tenths of ranked researchers was analyzed for each country. Three data sets were used for the analysis. A representative sample proportional to the population of a country, followed by the principle known in team sports that each country nominates the same number of athletes, and finally a dataset of all selected researchers.Findings & value added: The first most important result can be stated that the stochastic linear relationships that can be described with the three data sets are very similar, the causal relationships are also the same. Based on the principal component analysis, the indicators can be divided into two groups: the component consisting of raw data and the component consisting of reference-based variables. In this case, too, the three datasets resulted in the same groups of variables. Of the eight indicators, two proved to be collinear: all references and the Hirsch index of all publications. A comparison of researchers from countries showed that economic researchers in Austria perform best, and researchers from other countries only follow in each dataset. The results are similar; it is difficult to rank between countries.

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