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Erschienen in: Quality & Quantity 4/2020

22.04.2020

Factors with significant impact on efficiency of research laboratories: case of the public university

verfasst von: Driss El Kadiri Boutchich

Erschienen in: Quality & Quantity | Ausgabe 4/2020

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Abstract

This work aims to highlight the factors with significant impact on efficiency of research laboratories of public university. To achieve this goal, Linear Regression is used. In order to scientifically determine the dependant variable of Linear Regression, Data Envelopment Analysis (DEA) is employed. The originality of this work lies in its intermethodology, since efficiency scores, which are determined by DEA, are considered as the dependent variable of the Linear Regression. This work has research implications, since it encourages researchers to integrate the two aforementioned methods as Data Envelopment Analysis uses linear programming which could also be used by Linear Regression. Equally, this works orient laboratories towards factors which have significant impact on their efficiency to improve it. The results of this work show that doctoral theses supervision as well as laboratories ages have significant impact on their efficiency. This study concerns 21 laboratories of a public university in eastern Morocco.

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Metadaten
Titel
Factors with significant impact on efficiency of research laboratories: case of the public university
verfasst von
Driss El Kadiri Boutchich
Publikationsdatum
22.04.2020
Verlag
Springer Netherlands
Erschienen in
Quality & Quantity / Ausgabe 4/2020
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-020-00987-7

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