scholarly journals Identification the Risk Factors of Industry-University-Research Cooperation Based on the Explanatory Structure Model

2017 ◽  
Author(s):  
Ling Li ◽  
Peng Guo ◽  
Wei Zhang ◽  
Feng Feng
Keyword(s):  
Risk Factors ◽  
University Research ◽  
Structure Model ◽  
Research Cooperation ◽  
Explanatory Structure

Research on Innovation Efficiency and Technology Gap in China Economic Development

2017 ◽  
Vol 34 (02) ◽  
pp. 1750005 ◽  
Author(s):  
Jian-Wen Fang ◽  
Yung-ho Chiu
Keyword(s):  
Economic Development ◽  
Fixed Effect Model ◽  
University Research ◽  
Quadrant Analysis ◽  
Eastern Region ◽  
Network Dea ◽  
Research Cooperation ◽  
Effect Model ◽  
Technology Gaps ◽  
Technology Level

In this paper, we use the meta-frontier network DEA approach to evaluate the innovation efficiency of 30 provinces in China from 2009 to 2011. These provinces have been classified into two groups based on their levels of economic development. The first group comprises provinces in the Eastern region, while the second group comprises provinces in the Central and Western regions. First, we use the meta-frontier network DEA method to estimate the technology gaps of innovation efficiency between different operating types. Second, the quadrant analysis method explores the reasons for efficiency losses. Finally, we take the fixed effect model to examine whether industry–university–research cooperation influences technology efficiency. The empirical results indicate (i) the Eastern region has significantly higher innovation efficiency than the Central and Western regions. (ii) Some Eastern provinces have a high technology level, yet their resource allocation capabilities still need to be improved. (iii) Industry–university–research cooperation is an effective way to improve innovation performance.

Research on Knowledge Creation and Knowledge Diffusion Mechanism of Industry University Research Cooperation Model —Take the Tobacco Industry ASAN Example

2021 ◽  
Vol 7 (6) ◽  
pp. 5304-5317
Author(s):  
Zhang Hongyan ◽  
Luo Xiaoguang
Keyword(s):  
Knowledge Creation ◽  
Tobacco Industry ◽  
Double Helix ◽  
Diffusion Mechanism ◽  
Knowledge Diffusion ◽  
University Research ◽  
Research Cooperation ◽  
Innovative Products ◽  
Cooperation Model ◽  
Level Of Knowledge

Knowledge creation is an important basis of national innovation strategy, and industry university research cooperation is an important way of knowledge creation. Exploring the knowledge diffusion mechanism of different industry university research cooperation modes is conducive to knowledge creation. A good knowledge creation mechanism can improve the level of knowledge creation. Taking the tobacco industry as an example, this paper improves the knowledge creation level of the tobacco industry by establishing the knowledge creation mechanism of the tobacco industry, so as to solve the technical bottleneck of the tobacco industry and increase the number of innovative products in the tobacco industry. Through combing the research of scholars, it is found that the research on the promotion of knowledge creation by industry university research cooperation mode is relatively rich, but the research from the perspective of the relationship between knowledge diffusion mechanism and knowledge creation mechanism is slightly insufficient. In order to improve the knowledge creation level of industry university research cooperation, this paper obtains the knowledge creation mechanism of different industry university research cooperation modes by using SECI knowledge creation model. Innovatively put forward the "double helix" relationship between knowledge creation and knowledge diffusion in industry university research cooperation, that is, the knowledge diffusion mechanism in different industry university research cooperation modes will affect the level of knowledge creation, which provides a theoretical basis for the main subject of industry university research cooperation to find a way to improve the level of industry university research cooperation.

What Contributes to Fireworks-Related Injuries: Risk-Based Supervision Model

2014 ◽  
Vol 1065-1069 ◽  
pp. 2368-2371
Author(s):  
Xiang Wang ◽  
Gang Tao ◽  
Li Jing Zhang
Keyword(s):  
Risk Factors ◽  
Quantitative Analysis ◽  
Statistic Analysis ◽  
Structure Model ◽  
Industrial Workers ◽  
Residential Community ◽  
Rural And Urban ◽  
Supervision Model ◽  
Self Protection ◽  
Working Out

According to statistic analysis of consumer fireworks-related injuries (CFRI) of domestic and overseas, the risk factors causing injuries are determined. Two methods are used to solve problem. Firstly, all the risk factors leading to injures are expressed by the Causality Diagram. Then this Causality Diagram is transferred into hierarchical structure model of AHP for quantitative analysis. By working out the model, the weight of each factor could be obtained. Thereby the significance of each factor is determined. Finally, the hinge factors leading to CFRI can be figured out as the terms of the risk-based supervision model that based on the important aspects to be focused on within self-protection and supervision for consumers in the residential community both of rural and urban, as well as industrial workers of the enterprises.

Research on Innovation Relay Centre structure model of risk factors

MSIE 2011 ◽  
2011 ◽  
Author(s):  
Qin Shanyong ◽  
Bian Yijie ◽  
Guo Jitao ◽  
Liu Minwei
Keyword(s):  
Risk Factors ◽  
Structure Model
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