Does PhD Enrolment Improve the Research Efficiency of Educational Institutes: A Comparative Assessment of Indian Universities Using Data Envelopment Analysis

2023 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Varnika Gupta ◽  
Nisha Bharti ◽  
Sushant Malik
Keyword(s):  
Data Envelopment Analysis ◽  
Comparative Assessment ◽  
Data Envelopment ◽  
Using Data ◽  
Research Efficiency

scholarly journals Efficiency of Higher Education in the Presence of Shared Inputs using Data Envelopment Analysis

2021 ◽  
Vol 50 (11) ◽  
pp. 3421-3438
Author(s):  
Michael Gidey Gebru ◽  
Saqlain Raza ◽  
Mansoor Shaukat Khan
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Shared Resources ◽  
Research Activity ◽  
Teaching Efficiency ◽  
Overall Efficiency ◽  
Internal Operations ◽  
Using Data ◽  
Research Efficiency

This study measures the efficiency of higher education institutions with respect to teaching activity, research activity, and overall activities and also provides a direction for low-performing institutions to improve their performance. In many instances, the efficiency of the institution is a sum up of the efficiency of its activities. However, when the activities consume some resources in common, it requires the allocation of shared resources among the activities. Since sums up the efficiency of each activity does not give the institution's overall efficiency, we use a joint data envelopment analysis that takes into account the institution's internal operations to measure the teaching efficiency, research efficiency, and overall efficiency of the institutions. The empirical results indicate that the institutions that execute both activities simultaneously become more productive rather than adopt a single activity. Hence, this study suggests a useful and measurable action to improve the institution’s performance.

scholarly journals Determine Potential Efficiency of Publications Amount for Engineering Departments Using Data Envelopment Analysis

2021 ◽  
Vol 14 (8) ◽  
pp. 23
Author(s):  
Tarek Abokhashabah ◽  
Fares Albar
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Data Envelopment ◽  
Quality Development ◽  
University Management ◽  
Research Publications ◽  
Dea Method ◽  
Using Data ◽  
Potential Efficiency ◽  
Research Efficiency

This paper investigates the potential efficiency of researches from various departments under a common faculty in terms of their individual publications. The outcome in terms of the number of research publications of the eight departments working under the faculty of engineering at King Abdul-Aziz University was utilized as the case for these investigations. Data Envelopment Analysis (DEA) is utilized for the benchmarking of the research potential efficiency of these departments. The results of these studies are useful to know the potential research efficiency of each department under investigation and enable the respective departments/administration to determine the number of research publications necessary from each department to reach their respective optimal levels. The present study is helpful in diverting the interest of university management towards the quality development in education and research. The study is important as it uses Data Envelopment Analysis (DEA) method to determine the relative efficiency of the publication amount for engineering departments at King Abdul-Aziz University. It further suggests some of the important measures required for the improvement.

Data Envelopment Analysis (DEA) in the Psychological Sciences

2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart
Keyword(s):  
Data Envelopment Analysis ◽  
Aggressive Behavior ◽  
Personality Traits ◽  
Educational Administration ◽  
Latent Variable ◽  
Organizational Management ◽  
Data Envelopment ◽  
Targeted Interventions ◽  
Component Skills ◽  
Using Data

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.

scholarly journals Performance Evaluation of Fishery Enterprises Using Data Envelopment Analysis—A Malmquist Model

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 469
Author(s):  
Chia-Nan Wang ◽  
Thi-Ly Nguyen ◽  
Thanh-Tuan Dang ◽  
Thi-Hong Bui
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Technological Progress ◽  
Data Envelopment ◽  
Domestic Economy ◽  
Factor Productivity ◽  
Sales Revenue ◽  
Business Efficiency ◽  
Using Data ◽  
Decision Making Units

In Vietnam, fishing is a crucial source of nutrition and employment, which not only affects the development of the domestic economy but is also closely related to exports, heavily influencing the economy and foreign exchange. However, the Vietnamese fishery sector has been facing many challenges in innovating production technology, improving product quality, and expanding markets. Hence, the fishery enterprises need to find solutions to increase labor productivity and enhance competitiveness while minimizing difficulties. This study implemented a performance evaluation from 2015 to 2018 of 17 fishery businesses, in decision making units (DMUs), in Vietnam by applying data envelopment analysis, namely the Malmquist model. The objective of the paper is to provide a general overview of the fishery sector in Vietnam through technical efficiency, technological progress, and the total factor productivity in the four-year period. The variables used in the model include total assets, equity, total liabilities, cost of sales, revenue, and profit. The results of the paper show that Investment Commerce Fisheries Corporation (DMU10) and Hoang Long Group (DMU8) exhibited the best performances. This paper offers a valuable reference to improve the business efficiency of Vietnamese fishery enterprises and could be a useful reference for related industries.

scholarly journals Measuring the Efficiency of Football Clubs Using Data Envelopment Analysis: Empirical Evidence From Spanish Professional Football

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402198925
Author(s):  
Isidoro Guzmán-Raja ◽  
Manuela Guzmán-Raja
Keyword(s):  
Data Envelopment Analysis ◽  
High Efficiency ◽  
Sport Performance ◽  
Data Envelopment ◽  
Professional Football ◽  
Efficiency Measure ◽  
Factors Affecting ◽  
Football Clubs ◽  
Main Factors ◽  
Using Data

Professional football clubs have a special characteristic not shared by other types of companies: their sport performance (on the field) is important, in addition to their financial performance (off the field). The aim of this paper is to calculate an efficiency measure using a model that combines performance (sport and economic) based on data envelopment analysis (DEA). The main factors affecting teams’ efficiency levels are investigated using cluster analysis. For a sample of Spanish football clubs, the findings indicate that clubs achieved a relatively high efficiency level for the period studied, and that the oldest teams with the most assets had the highest efficiency scores. These results could help club managers to improve the performance of their teams.

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