2014 ◽  
Vol 700 ◽  
pp. 701-704
Author(s):  
Cheng Jun Wang ◽  
Huan Jia

Based on the field survey data,statisticsing and analysising the influence factors of industry flows of science and technology human resources in Shaanxi Province by using multiple linear regression model and Logistic regression model.The results show that: enterprise promotion chance, industry development ability, family factors and change lifestyle these four factors promote or weaken the effect on the flow of talent directly;Age,working ability,professional degree are the constitute factors influencing science and technology talent flow;However, the influence of gender, education, welfare and residential moves is not significant for industry flow of science and technology human resources.


2021 ◽  
Vol 251 ◽  
pp. 02024
Author(s):  
Xiaoqing Wang ◽  
Chunxiao Mu

The existing evaluation system of scientific and technological talents is insufficient in classification and evaluation, lacks clear evaluation objectives and evaluation standards, and attaches too much importance to the achievements of scientific and technological talents and lacks the development potential of scientific and technological talents. In this paper, using intelligent era information technology reform of science and technology talent assessment system, to advocate and innovation for the purpose, classification of evaluation objects, evaluation criterion of explicit, the diversification of evaluation subject, evaluation method is scientific, the diversification of evaluation methods, to effectively identify innovative science and technology talents, motivating talents of science and technology innovation power and guide the scientific and technological personnel work to lay the foundation.


2021 ◽  
Vol 15 (1) ◽  
pp. 1-20
Author(s):  
Ki Uhn Ahn ◽  
Cheol Soo Park ◽  
Kyung-Jae Kim ◽  
Deuk-Woo Kim ◽  
Chang-U Chae

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