Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data
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....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.00125 |
| _version_ | 1797340836524982272 |
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| author | Yu Ligang Ye Jin Chen Yang |
| author_facet | Yu Ligang Ye Jin Chen Yang |
| author_sort | Yu Ligang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T10:09:07Z |
| format | Article |
| id | doaj.art-c6105f6a65044aa3b11ee0fe53842dcb |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:09:07Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-c6105f6a65044aa3b11ee0fe53842dcb2024-01-29T08:52:29ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00125Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big dataYu Ligang0Ye Jin1Chen Yang2Science and Technology Industry Department, Suzhou University of Science and Technology, Suzhou, Jiangsu, 215000, ChinaScience and Technology Industry Department, Suzhou University of Science and Technology, Suzhou, Jiangsu, 215000, ChinaSchool of Mathematical Sciences, Suzhou University of Science And Technology, Suzhou, Jiangsu, 215000, ChinaScientific 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.https://doi.org/10.2478/amns.2023.2.00125scientific research resultsdea modeldecision unitconversion efficiencyslack variables62-07 |
| spellingShingle | Yu Ligang Ye Jin Chen Yang Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data Applied Mathematics and Nonlinear Sciences scientific research results dea model decision unit conversion efficiency slack variables 62-07 |
| title | Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data |
| title_full | Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data |
| title_fullStr | Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data |
| title_full_unstemmed | Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data |
| title_short | Exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data |
| title_sort | exploring the model of laboratory construction and optimization to promote the transformation of research results in the context of big data |
| topic | scientific research results dea model decision unit conversion efficiency slack variables 62-07 |
| url | https://doi.org/10.2478/amns.2023.2.00125 |
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