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Impact of ethics on research productivity in higher education

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Abstract

The objective of this research is to assess the impact of ethics on research productivity within laboratories of public universities. To achieve this objective, neural networks’ method is used to highlight impacting and impacted variable modalities. Findings show ethical variables having the greatest impact on research productivity are ethics supporting document and transparency, while the variables most impacted by ethics are publications and scientific projects. Finally, the originality of this work lies in the reconciliation of two dimensions that appear to be irreconcilable a priori, namely, ethics which has a social connotation and productivity which has an economic connotation. It also resides in employing neural networks’ method, with is rarely used in social sciences.

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  1. Hay Al Qods, Complexe Universitaire, 473, Oujda, BP, Morocco

    Driss El Kadiri Boutchich

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PHD in economics

Graduate Diploma in Management Techniques (Data Analysis, Mathematical Programming, Inputs and Outputs methods, Statistics…)

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Appendices

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Table 9 Variables Coded
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Fig. 1
figure 1

Architecture of neural network Model. Source: SPSS

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El Kadiri Boutchich, D. Impact of ethics on research productivity in higher education. International Journal of Ethics Education 6, 253–271 (2021). https://doi.org/10.1007/s40889-021-00123-5

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