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

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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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  1. Higher School of Technology, Mohammed I University, BP 473, Hay Al Qods, Oujda, Morocco

    Driss El Kadiri Boutchich

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El Kadiri Boutchich, D. Factors with significant impact on efficiency of research laboratories: case of the public university. Qual Quant 54, 1317–1333 (2020). https://doi.org/10.1007/s11135-020-00987-7

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