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.

Ranking of European Union Member States Based on the Level of Knowledge Created by the Research and Development Sector

2014 ◽  
Vol 9 (1) ◽  
pp. 47-56
Author(s):  
Krystyna Romaniuk
Keyword(s):  
European Union ◽  
Research And Development ◽  
Knowledge Creation ◽  
Union Member ◽  
Political Life ◽  
Ranking Methods ◽  
Member States ◽  
Management Paradigms ◽  
Level Of Knowledge ◽  
European Union Member States

The contemporary era is characterized by revolutionary changes in the economy, technological progress, social and political life. Globalization exerts pressure on businesses and entire economies to increase their competitive strength which is defined as the ability to create knowledge. Knowledge creation and management became the new management paradigms. The responsibility for knowledge creation rests mainly upon the research and development sector. The aim of this study was to rank European Union Member States based on the level of knowledge created by their respective research and development sectors and to identify knowledge creation leaders. The analysis relied on EUROSTAT data for 2007-2011 and linear ranking methods with a reference standard. Our results indicate that Western European and Scandinavian countries are the leaders in the area of knowledge creation.

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.

Sign in / Sign up

Export Citation Format

Share Document