基于数据包络分析(dea)的科技大学科研效率测度——以科技大学为例

Anas Fathul Ariffin, Muhammad Amir Azahari, Mohd Halimi Ab Hamid, Yeong Kin Teoh, Muhammad Hilmi Samian
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引用次数: 0

摘要

本文旨在利用Charnes, Cooper, and Rhodes (CCR)模型和Banker, Charnes, and Cooper (BCC)模型来衡量UiTM Perlis的研究效率。使用的数据是从2018年至2022年的二手数据,从教务处(HEA)等相关部门获得;工业,社区和校友网络(ICAN)办公室和行政办公室,UiTM Perlis。它还对每年的能力进行了区分,并审查了目前走向2025年的趋势,目的是实现2025年战略计划的使命。两个方面都有五个决策单元(DMU);2018年、2019年、2020年、2021年和2022年是本研究的五个不同年份。本研究使用CCR-I和BCC-I这两个模型是为了保证排名分析结果更加准确和精确。这两个模型都使用了输入导向的模型函数,以此来最大化效率,从而增加精灵的数量。在研究效率方面,2018年和2020年的两个DMU在两个模型中都排名第一。因此,这款DMU在两款车型中都排名第一。
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MEASURING THE RESEARCH EFFICIENCY OF UNIVERSITI TEKNOLOGI MARA (UITM) BY USING DATA ENVELOPMENT ANALYSIS (DEA): A CASE STUDY IN UITM PERLIS
This paper aims to measure research efficiency of UiTM Perlis by using two different models, which are the Charnes, Cooper, and Rhodes (CCR) model and the Banker, Charnes, and Cooper (BCC) model. The data used is secondary data started from 2018 to 2022, obtained from the departments involved such as the Academic Affairs Division (HEA); Industry, Community, and Alumni Network (ICAN) Office, and Administration Office, UiTM Perlis. It has also been distinguished the competencies for each year and examined the current trends towards 2025, with the aim of achieving the mission of the UiTM2025 strategic plan. There are five decision making units (DMU's) for both aspects studied; 2018, 2019, 2020, 2021, and 2022, which are the five distinguished years for this study. The use of the two models in this study, namely CCR-I and BCC-I is to ensure that the ranking analysis results are more accurate and precise. Both models use input-oriented model functions as a way of maximizing efficiency in order to increase the number of fairies. For research efficiency, two DMU’s which is 2018 and 2020, were ranked first for both models. Thus, making this DMU's ranked first for both models.
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CiteScore
4.70
自引率
0.00%
发文量
29
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