AHP Based Quantitative Evaluation Index System of Teacher's Research Performance in the University

Author(s):  
Lili Wang ◽  
Hengfu Wen ◽  
Yang Liu
2017 ◽  
Vol 6 (1) ◽  
pp. 19
Author(s):  
Feng Feng ◽  
Qing Li

Policy transfer is a process in which different organizations learn from each other to achieve policy innovation. It is also considered as an important channel of policy issuance. In China, national independent innovation demonstration zones serve as carriers of not only technological development, but also technological policies issued by China. Along with development of these national independent innovation demonstration zones, policy exchange and cooperation has become increasingly frequent among them. This paper attempts to find out different paths for policy transfer through a textual analysis of policies among China’s national independent innovation demonstration zones. First, quantitative connotation and characteristics of policy transfer are analyzed. Then, a policy transfer quantitative evaluation index system is built based on three dimensions of policy transfer, namely intensity, breadth and speed. Following that, the quantitative evaluation index system is used to analyze policy transfer among national independent innovation demonstration zones. The paper tries to explore favorable policy categories for transfer, and learn the policy development status in these national independent innovation demonstration zones as well as the policy transfer trend from different perspectives. To sum up, this research can provide not only data support for policy innovation of China’s independent innovational demonstration zones and accelerate their in-depth cooperation in terms of policy transfer, but also a new methodological research paradigm for quantitative analysis of policy transfer among parallel organizations.


2021 ◽  
Vol 51 (1) ◽  
Author(s):  
Tingting Liu ◽  
Peijun Tao

ABSTRACT: Wuli-Shili-Renli (WSR) methodology was used to assess the effects of systematic management on university agricultural extension test stations, in order to understand areas for further optimization. We developed a framework model and evaluation index system, of which, the weights of the evaluation index system were determined using AHP. Using an agricultural extension test station of Hebei Agricultural University as an example, we interviewed and surveyed in total of 225 university extension experts from nine test stations. Assessment showed that the test station system organization produces desirable societal benefits and improvements. In addition, the organizational structure and job allocation were found to act as high-impact factors in improving the optimal system function, with the university extension experts functional better in the incentive and guarantee mechanism than other factors. Our investigation validated that the university extension experts were critical in designing the incentives and evaluation programs.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.


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