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<p>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.</p>
</abstract>

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.

Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data

Applied Technology College of Soochow University

Applied Mathematics and Nonlinear Sciences

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

In the context of fierce competition for talents in colleges and universities, cultivating and introducing outstanding young talents are crucial to the...

Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 12. Jan. 2024

Akzeptiert: 19. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0537

Schlüsselwörter
IPO model, EWM method, Improved TOPSIS method, Data Envelopment Analysis, Talent Introduction

© 2023 Jibing Qian, published by Sciendo

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

Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 12. Jan. 2024

Akzeptiert: 19. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0537

SchlüsselwörterIPO model, EWM method, Improved TOPSIS method, Data Envelopment Analysis, Talent Introduction

© 2023 Jibing Qian, published by Sciendo

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

Schlüsselwörter
IPO model, EWM method, Improved TOPSIS method, Data Envelopment Analysis, Talent Introduction