scholarly journals The Evaluation of Synergy between University Entrepreneurship Education Ecosystem and University Students’ Entrepreneurship Performance

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Sheng-Yuan Wang ◽  
Xiao-Lan Wu ◽  
Meng Xu ◽  
Quan-Xin Chen ◽  
Ying-Jing Gu
Keyword(s):  
University Students ◽  
Goal Programming ◽  
Index System ◽  
Entrepreneurship Education ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Volterra Model ◽  
University Entrepreneurship ◽  
College And University ◽  
Performance Evaluation Index

The interactive mechanism between college and university entrepreneurship education ecosystem and their students’ entrepreneurial performance needs to be further discussed, as college and university students are an important force in entrepreneurship. Since there is a lack of symbiotic mechanism analysis and interactive optimization research using ecological methods, this paper constructs the evaluation index system of entrepreneurship education ecosystem and entrepreneurship performance evaluation index system and uses the entropy weight method to determine the weight of various indicators in the index system more objectively. In this paper, Lotka–Volterra model in ecology is used to deeply study the mechanism between college and university entrepreneurship education ecosystem and entrepreneurship performance. Lotka–Volterra multichoice goal programming (MCGP) model is used to optimize the collaborative relationship between college and university entrepreneurship education ecosystem and entrepreneurship performance. Finally, a numerical example is given to illustrate the feasibility and effectiveness of the research method. The results show that Lotka–Volterra multichoice goal programming (MCGP) method is effective in evaluating the synergy between college and university entrepreneurship education ecosystem and the students’ entrepreneurship performance.

Study on the Quality Evaluation of Universities’ Network Entrepreneurship Education under E-Commerce Background

2011 ◽  
Vol 204-210 ◽  
pp. 1625-1630
Author(s):  
Yong Yue Zhu ◽  
Yi Nan Su ◽  
Yong Qing Chen
Keyword(s):  
Index System ◽  
Evaluation Model ◽  
Entrepreneurship Education ◽  
Active Role ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Analytic Hierarchy ◽  
Four Dimensions ◽  
Entrepreneurial Spirit ◽  
Initial Stage

In the context of e-commerce boom, network entrepreneurship education carried out by some universities in China plays an important and active role in promoting students’ overall quality cultivation, employment and enterprising, etc. However, researches on the network entrepreneurship education are few and at the initial stage. This paper tried to make an evaluation of universities’ network entrepreneurship education quality and established an evaluation index system from such four dimensions as entrepreneurial spirit, entrepreneurial knowledge and skills, entrepreneurial practice, and social effect. It also built an evaluation model by applying the fuzzy analytic hierarchy process. Empirical study shows that the established evaluation index system has high validity and the evaluation model is of accuracy and strong operability.

Research on Innovation Performance Evaluation Index System of the Productive Service Industry Cluster Based on the Process of Network Innovation

2013 ◽  
Vol 869-870 ◽  
pp. 856-859
Author(s):  
Liang Hu Xu ◽  
Ming Cao ◽  
Qing Miao
Keyword(s):  
Performance Evaluation ◽  
Index System ◽  
Service Industry ◽  
Industrial Clusters ◽  
Innovation Performance ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Industry Cluster ◽  
Performance Evaluation Index ◽  
Performance Evaluation Index System

In this paper, from the perspective of network innovative process, we comes up with the basic assumption, that is, the network innovation can promote absorptive capacity of industrial clusters products so as to improve the innovation performance of the enterprises in cluster. On the basis of this, this paper adopts correlation analysis method to verify the influence extent of productive service industry cluster innovation network on innovation performance. Therefore, we find critical influencing factors of network nodes and set up the innovation performance evaluation index system of productive service industry cluster.

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