A review on inputs and outputs in determining the efficiency of universities of medical sciences by data envelopment analysis method

Mojahedian, Mohammad Mahdi; Mohammadi, Aeen; Abdollahi, Mohammad; Kebriaeezadeh, Abbas; Sharifzadeh, Mohammad; Asadzandi, Shadi; Nikfar, Shekoufeh

doi:10.47176/mjiri.34.42

Cited by 4 publications

(4 citation statements)

References 61 publications

(78 reference statements)

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“…Furthermore, the study suggests M. Benlebbad using inputs and outputs to evaluate medical universities. Th is study shows that a large number of individuals are seeking to measure and compare the efficiency of universities in order to improve effi ciency, reduce costs, and manage resources (Mojahedian, Mohammadi, Abdollahi et al, 2020).…”

Section: Dea For Efficiency Studymentioning

confidence: 99%

Enhancing Educational Efficiency Through Data Envelopment Analysis a Case Study of the University Centre of Maghnia-Algeria

BENLEBBAD

2024

ЕУ

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Efficiency is a fundamental concept that involves achieving more with fewer resources. In the field of education, efficiency means using fewer or even limited resources to achieve the desired learning outcomes. Yet, measuring education efficiency is a complex task that requires the use of appropriate methods. One such method is Data Envelopment Analysis (DEA), a nonparametric technique that has been widely used in various fields, including education, health, and banking. This system is based on research operations that can provide users with strategies to achieve optimal efficiency. The aim of this study is to use DEA to calculate the efficiency of the University Centre of Maghnia during the COVID-19 period through comparing the different institutes within this centre. The use of DEA in this study provides an opportunity for decision-makers to strategize effectively and avoid unnecessary costs. The results of the study indicate that two Decision-Making Units (DMUs), namely the master's level in law and the bachelor's level in technology sciences, do not operate at perfect efficiency. Through the use of data analysis, the study identifies the necessary changes to achieve complete efficiency. The DMUs used for comparison are the master's level in Economics, Arabic Languages and Literature, and master of Technology. The study revealed that the average efficiency in the input orientation was 94%, while the output orientation was 92%, assuming various returns to scale. These findings suggest that there is room for improvement in the efficiency of the University Centre of Maghnia.

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Section: Dea For Efficiency Studymentioning

confidence: 99%

Enhancing Educational Efficiency Through Data Envelopment Analysis a Case Study of the University Centre of Maghnia-Algeria

BENLEBBAD

2024

ЕУ

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“…The literature selects inputs and outputs in this study in which undergraduate and graduate efficiencies are compared. Mojahedian et al (2020) reviewed the DEA literature for HEIs.…”

Section: Dataset and Variable Selectionmentioning

confidence: 99%

“…The frequencies of the inputs and outputs obtained from the study are given in Table 2. Mojahedian et al, 2020 In parallel with the studies of HEI efficiency literature, the number of academic staff, the number of students taken as inputs, and the number of graduates taken as output. This study differs from previous studies in two points.…”

Section: Dataset and Variable Selectionmentioning

confidence: 99%

From a strategic management perspective, comparison of graduate/undergraduate education performances of research universities and efficiency determinants: The case of Turkey

PEHLİVANLI¹

2023

bmij

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This study determined undergraduate and graduate education efficiency scores using the 2020 data from 20 state research universities in Turkey. The study used input-oriented data envelopment analysis to compare undergraduate and graduate education efficiencies. In the study, the efficiency of the research universities in the prioritized field(s) was compared with the efficiency in the field(s) in which they operate intensively. It also includes suggestions on increasing their effectiveness in the prioritized field(s). In addition, the Tobit regression model, which is a regression model for limited dependent variables, was used to determine the determinants of efficiency scores. The findings show the undergraduate and graduate education performances of research universities comparatively. In addition, based on the results obtained from the Tobit regression model, suggestions were made to increase graduate performance. Five factors (the number of graduate students per faculty member, the number of undergraduate students per academic staff, the number of graduates/undergraduates in the number of students and graduations, and the number of faculty members per program) have a significant effect on graduate performance. Therefore, it is important in terms of strategic management that research universities should be restructured by considering these factors or that they should be considered in plans. The study offers an alternative perspective to performance management in both education and management.

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“…DEA is a well-known method to determine the relative efficiencies of a set of decision making units (DMUs) It is widely used to compare the efficiency of banks (Henriques et al 2020), healthcare (Sommersguter-Reichmann 2021), in education (Mojahedian et al 2020), in agriculture (Streimikis and Saraji 2021), in transportation (Mahmoudi et al 2020), in supply chain management (Soheilirad et al 2018) and in supplier selection (Dutta et al 2021, Vörösmarty andDobos 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Input and output reconsidered in supplier selection DEA model

Dobos

Vörösmarty

2023

Cent Eur J Oper Res

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The selection of input and output items is crucial for successful application of Data Envelopment Analysis (DEA) as they should express the decision maker's preferences and perceptions of what might affect the efficiency of a decision making unit (DMU). This article addresses the question of the transformation of input and output data that may be required for efficiency analyses using DEA method. Different methods for the data transformation are available in the literature, however, they may lead to different results, which may bias the decisions. This paper attempts to provide some guidance on this issue and to compare the results. An example of supplier evaluation will be used to illustrate the possible solutions and the differences in the final results (supplier evaluated to be among the efficient suppliers).

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A review on inputs and outputs in determining the efficiency of universities of medical sciences by data envelopment analysis method

Cited by 4 publications

References 61 publications

Enhancing Educational Efficiency Through Data Envelopment Analysis a Case Study of the University Centre of Maghnia-Algeria

Enhancing Educational Efficiency Through Data Envelopment Analysis a Case Study of the University Centre of Maghnia-Algeria

From a strategic management perspective, comparison of graduate/undergraduate education performances of research universities and efficiency determinants: The case of Turkey

Input and output reconsidered in supplier selection DEA model

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