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690. Evaluation of the efficiency of research outputs of Korean private universities: a two-stage network DEA approach

Invited abstract in session MD-48: DEA applications in Education and Health I, stream Data Envelopment Analysis and its Application.

Monday, 14:30-16:00
Room: 60 (building: 324)

Authors (first author is the speaker)

1. Mehdi Shamohammadi
International Business and Trade (IBT), INHA UNIVERSITY

Abstract

The production and assessment of research outputs are pivotal aspects of the university knowledge generation process, influencing spin-offs and collaborations arising from industry-university research endeavors. While numerous studies have utilized research outputs to gauge university performance, many have primarily concentrated on quantitative variables such as the sheer number of publications and patents. This emphasis on quantitative indicators alone may lead to an overestimation and bias in assessing research performance in specific instances. Recognizing this limitation, our study aims to address this gap by employing a two-stage network data envelopment analysis (DEA). In addition to quantitative variables, our focus extends to incorporating quality attributes like publication and patent citations alongside the number of research projects. Our dataset spans 57 research-active South Korean private universities from 2010 to 2019. Empirical findings reveal that integrating quality attributes into an appropriate production model enhances the accuracy and reliability of efficiency measurement results. Furthermore, the use of the two-stage network DEA allows for a nuanced observation of the disparity between the quantity and quality stages of university research outputs, presenting a valuable advancement beyond traditional black-box DEA models.

Keywords

Status: accepted

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