2020
DOI: 10.47176/mjiri.34.42
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A review on inputs and outputs in determining the efficiency of universities of medical sciences by data envelopment analysis method

Abstract: By increasing the number of university students and limited funds allocated to universities, maintaining the efficiency of universities resources is necessary. Data envelopment analysis (DEA) method is one of the most widely used methods to evaluate efficiency of universities. →What this article adds:To evaluate efficiency via DEA method, selecting outputs and inputs plays an important role. Results of this study determine most inputs and outputs that can be used to evaluate the efficiency of universities of m… Show more

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Cited by 2 publications
(3 citation statements)
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References 61 publications
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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%
See 1 more Smart Citation
“…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%
“…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%