Analysis of Evaluation and Cultivation System of Scientific and Technological Innovation Talents in Power Grid Enterprises Based on CIPP Model and Fuzzy AHP Model

Yuanqu Yue 1, Yan Liu 2, Lei Yu 2, Congbo Wang 2, Binhui Jia 3
1 State Grid Talents Exchange and Service Center Co., Ltd., Beijing, 100000, China
2 State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, Zhejiang, 310000, China
3State Grid Zhejiang Electric Power Co., Ltd., Zhejiang Electric Power Research Institute, Hangzhou, Zhejiang, 310000, China

Abstract

Science and technology innovation talents are the center of gravity of the national strategic power, which is crucial for promoting social development and scientific and technological progress. The purpose of this paper is to study the scientific and technological innovation talents of power grid enterprises, build the evaluation index system of scientific and technological innovation talents with reference to the CIPP model, select a power grid enterprise to analyze the examples, and use the fuzzy AHP model to evaluate its scientific and technological innovation talents training. Then build the role mechanism model of science and technology innovation talent cultivation, conduct regression analysis of the influence factors of science and technology innovation talent cultivation, and verify the research hypothesis. The evaluation results of the STI talents of the sample grid enterprises range from 3.6 to 4.0 points, and the evaluation grades are all good, confirming the practicality of the proposed STI talent evaluation method. Except for years of education, high focus in research field and teamwork, the selected personal factors, organizational factors and environmental factors have positive and significant effects on the quality of STI talents training. It is suggested that power grid enterprises improve and promote the development of the training system of scientific and technological innovation talents by building a training and development channel, developing a layered training model, innovating training methods as well as building a research platform.

Keywords: CIPP model, fuzzy AHP, evaluation index system, regression analysis, scientific and technological innovation talents