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Evaluation of High-level Sci-tech Talents based on the Method of Better Action Conforming to Natural Rule |
Jia Mingmei,Zhang Lanxia,Fu Jingyao,Zhang Liangting |
School of Business Administration, Northeastern University, Shenyang 110169,China |
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Abstract Though governments and organizations take positive measures to introduce high-level sci-tech talents, the results are unsatisfactory. One of the important reasons is unscientific evaluation. After defining the concept of high-level sci-tech talents, this paper constructs an evaluation index system including morality, knowledge, capacity, performance and influence. Then index weights and evaluation models which highlight individual advantage are designed with the method of better action confirming to natural rules. And 10 high-level sci-tech talents are evaluated. The results show that, the method of better action conforming to natural rule can identify the individual advantages of high-level sci-tech talents effectively and give consider to both individuality and democracy. This paper provides data support to evaluate high-level sci-tech talents with the method of better action confirming to natural rules.
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Received: 22 March 2017
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Corresponding Authors:
Jia Mingmei
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