Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data
In the context of fierce competition for talents in colleges and universities, cultivating and introducing outstanding young talents are crucial to the construction and sustainable development of talents in colleges and universities. The article utilizes the IPO model to construct an evaluation syst...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns-2024-0537 |
| _version_ | 1797279162455556096 |
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| author | Qian Jibing |
| author_facet | Qian Jibing |
| author_sort | Qian Jibing |
| collection | DOAJ |
| description | In the context of fierce competition for talents in colleges and universities, cultivating and introducing outstanding young talents are crucial to the construction and sustainable development of talents in colleges and universities. The article utilizes the IPO model to construct an evaluation system for the quality of cultivation of top talents and the implementation effect of talent introduction policy in colleges and universities. The study takes eight colleges and universities in the university city of Province P as examples, uses the EWM method to determine the weights of the indicators, and carries out a comprehensive evaluation through the improved TOPSIS method and the Data Envelopment Analysis Model (DEA). The results show that in talent cultivation, the weight of the result quality is 18.09% higher than the essential quality. In contrast, in implementing the talent introduction policy, the maximum difference of each weight value is only 1.24%.The effective decision-making unit of the DEA reaches the optimal value of 1.00 in the comprehensive technical efficiency, pure technical efficiency and scale efficiency. The study reveals the shortcomings of implementing talent cultivation and introduction policy in universities. It guides the universities to improve the mechanism of cultivation and introduction of top talents, to enhance the core competitiveness. |
| first_indexed | 2024-03-07T16:20:18Z |
| format | Article |
| id | doaj.art-f7a0eff7696846aabde36a7e1e98405f |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-07T16:20:18Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-f7a0eff7696846aabde36a7e1e98405f2024-03-04T07:30:42ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns-2024-0537Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big DataQian Jibing01Applied Technology College of Soochow University, Suzhou, Jiangsu, 215325, China.In the context of fierce competition for talents in colleges and universities, cultivating and introducing outstanding young talents are crucial to the construction and sustainable development of talents in colleges and universities. The article utilizes the IPO model to construct an evaluation system for the quality of cultivation of top talents and the implementation effect of talent introduction policy in colleges and universities. The study takes eight colleges and universities in the university city of Province P as examples, uses the EWM method to determine the weights of the indicators, and carries out a comprehensive evaluation through the improved TOPSIS method and the Data Envelopment Analysis Model (DEA). The results show that in talent cultivation, the weight of the result quality is 18.09% higher than the essential quality. In contrast, in implementing the talent introduction policy, the maximum difference of each weight value is only 1.24%.The effective decision-making unit of the DEA reaches the optimal value of 1.00 in the comprehensive technical efficiency, pure technical efficiency and scale efficiency. The study reveals the shortcomings of implementing talent cultivation and introduction policy in universities. It guides the universities to improve the mechanism of cultivation and introduction of top talents, to enhance the core competitiveness.https://doi.org/10.2478/amns-2024-0537ipo modelewm methodimproved topsis methoddata envelopment analysistalent introduction51a40 |
| spellingShingle | Qian Jibing Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data Applied Mathematics and Nonlinear Sciences ipo model ewm method improved topsis method data envelopment analysis talent introduction 51a40 |
| title | Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data |
| title_full | Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data |
| title_fullStr | Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data |
| title_full_unstemmed | Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data |
| title_short | Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data |
| title_sort | innovative research on cultivation mechanism and introduction mechanism of top talents in colleges and universities under the background of big data |
| topic | ipo model ewm method improved topsis method data envelopment analysis talent introduction 51a40 |
| url | https://doi.org/10.2478/amns-2024-0537 |
| work_keys_str_mv | AT qianjibing innovativeresearchoncultivationmechanismandintroductionmechanismoftoptalentsincollegesanduniversitiesunderthebackgroundofbigdata |