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3548. Analysis of citation impact of ORMS journals by DEA models
Invited abstract in session TA-48: DEA applications in Education and Health II, stream Data Envelopment Analysis and its Application.
Tuesday, 8:30-10:00Room: 60 (building: 324)
Authors (first author is the speaker)
| 1. | Josef Jablonsky
|
| Faculty of Informatics and Statistics, Prague University of Economics and Business |
Abstract
Performance and citation impact of scientific journals are measured by traditional metrics such as impact factor, article influence score, journal citation indicator, and others. While the impact factor is based on the total number of citations and does not reflect the quality of journals cited, the article influence score considers the past importance of the citing journals. This paper aims the analyze the possibility of measuring the performance of journals by data envelopment analysis (DEA) models. We applied traditional radial and SBM DEA models with weight restrictions where the outputs of the models are the citation counts from Q1 to Q4 categories and other journals according to the impact factor. This basic model is extended by considering the impact factor of the journals from the previous year as one of the inputs of the model. The results of the study are illustrated in the set of 80 journals from the Web of Science category Operational Research and Management Science (ORMS). The dataset for the study was obtained from the Journal Citation Reports in the period from 2017 until 2022. The relative efficiency scores and the ranking of the journals obtained by the models are presented and compared with traditional metrics.
Keywords
- Efficiency Analysis
- Data Envelopment Analysis
Status: accepted
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