数据包络分析与高等教育:2018-2022年文献的系统回顾和过去30年文献的文献计量分析

IF 2 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Anis Mardiana Ahmad, Noor Saifurina Nana Khurizan
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引用次数: 0

摘要

自 1978 年首次提出数据包络分析法(DEA)以来,人们对它的兴趣与日俱增。为了回应人们的浓厚兴趣,我们进行了系统的文献综述以及文献计量学研究,以描述最前沿的研究成果,并提供有关全球应用数据包络分析和高等教育系统(DEA-HE)的高影响力论文的定量概要。本研究审查了 2018 年至 2022 年间发表的 75 篇系统文献综述(SLR)研究和 1992 年至 2022 年间发表的 508 篇文献计量学研究。通过SLR分析,确定了四个以绩效为重点的领域:机构绩效、部门绩效、学习项目绩效和其他高等教育(HE)活动绩效。本研究强调了部分 SLR 文献中的问题、方法和解决方案。文献计量分析表明,自 2003 年以来,DEA-HE 呈上升趋势,其中 2021 年的出版物数量最多。托马索-阿加西斯蒂(Tommaso Agasisti)是发表论文最多的作者,吉尔-约翰斯(Jill Johnes)是最有影响力的作者。科学计量学》杂志在该领域发表的论文最多。这项研究为今后的研究奠定了基础。未来的审稿人可能会发现,本研究中介绍的常见做法、限制因素和基本假设有助于选择和分析相关研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Envelopment Analysis and Higher Education: A Systematic Review of the 2018–2022 Literature and Bibliometric Analysis of the Past 30 Years of Literature
The interest in Data Envelopment Analysis (DEA) has grown since its first put forward in 1978. In response to the overwhelming interest, systematic literature reviews, as well as bibliometric studies, have been performed in describing the state-of-the-art and offering quantitative outlines with regard to the high-impact papers on global applications of DEA and the higher education system (DEA-HE). This study examines 75 systematic literature review (SLR) studies published between 2018 and 2022 and 508 bibliometric studies published between 1992and 2022. Four performance-focused areas are identified through SLR analysis: institutional performance, departmental performance, performance of study program, and performance of other higher education (HE) activities. This study highlights issues, methods, and resolutions in selected SLR literature. Bibliometric analysis revealed an increasing trend in DEA-HE since 2003, with the highest number of publications in 2021. Tommaso Agasisti was the most productive author, and Jill Johnes was the most influential. The journal Scientometric had the most publications in the area. This study lays the groundwork for future research. Future reviewers may find the common practises, constraints, and underlying assumptions presented in this study useful for the selection and analysis of relevant studies.
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来源期刊
Sage Open
Sage Open SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.40
自引率
5.00%
发文量
721
审稿时长
12 weeks
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