<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>Scientific research results represent a country’s innovation capability. To previous statistics, the scientific research results of Chinese university laboratories are more focused on the basic research stage, while the industrialization and commercialization stages of the results are often broken. In this paper, by using the DEA model to determine the relationship between input and output, decision unit, and efficiency variables, the input-output indexes are selected for the calculation to obtain the comprehensive efficiency, pure technical efficiency, and scale efficiency of the transformation of scientific research results in university laboratories; subsequently, the output slack variables of non-DEA validity decision unit are analyzed differently. The results show a 63.41% difference between the maximum comprehensive efficiency value and the minimum value of the transformation of scientific research results in 30 universities, and the slack variable variance analysis reveals that there is 42.27% input redundancy and 31.87% output deficiency in 30 universities. This paper improves the conversion rate of laboratory scientific research results based on the improvement of input and output indicators from the decision-making level; and proposes the tripartite collaboration model of laboratories governments, and enterprises, which promotes the acceleration of scientific research results into the market and the industrialization of scientific research results.</p>
</abstract>

Scientific research results represent a country’s innovation capability. To previous statistics, the scientific research results of Chinese university laboratories are more focused on the basic research stage, while the industrialization and commercialization stages of the results are often broken. In this paper, by using the DEA model to determine the relationship between input and output, decision unit, and efficiency variables, the input-output indexes are selected for the calculation to obtain the comprehensive efficiency, pure technical efficiency, and scale efficiency of the transformation of scientific research results in university laboratories; subsequently, the output slack variables of non-DEA validity decision unit are analyzed differently. The results show a 63.41% difference between the maximum comprehensive efficiency value and the minimum value of the transformation of scientific research results in 30 universities, and the slack variable variance analysis reveals that there is 42.27% input redundancy and 31.87% output deficiency in 30 universities. This paper improves the conversion rate of laboratory scientific research results based on the improvement of input and output indicators from the decision-making level; and proposes the tripartite collaboration model of laboratories governments, and enterprises, which promotes the acceleration of scientific research results into the market and the industrialization of scientific research results.

Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data

Science and Technology Industry Department

Suzhou University of Science and Technology

Suzhou University of Science And Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Scientific research results represent a country’s innovation capability. To previous statistics, the scientific research results of Chinese university...

Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data

Data publikacji: 02 sie 2023

Zakres stron: -

Otrzymano: 07 paź 2022

Przyjęty: 10 lut 2023

DOI: https://doi.org/10.2478/amns.2023.2.00125

Słowa kluczowe
Scientific research results, DEA model, Decision unit, conversion efficiency, Slack variables

© 2023 Ligang Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data

Data publikacji: 02 sie 2023

Zakres stron: -

Otrzymano: 07 paź 2022

Przyjęty: 10 lut 2023

DOI: https://doi.org/10.2478/amns.2023.2.00125

Słowa kluczoweScientific research results, DEA model, Decision unit, conversion efficiency, Slack variables

© 2023 Ligang Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
Scientific research results, DEA model, Decision unit, conversion efficiency, Slack variables