scholarly journals Research on the Management Optimization of Industry-University-Research Cooperation Projects in Colleges and Universities from the Perspective of Collaborative Management

2021 ◽  
Vol 2 (3) ◽  
pp. 46-49
Author(s):  
Xizhen Wang
Keyword(s):  
Production Management ◽  
Colleges And Universities ◽  
University Research ◽  
Collaborative Management ◽  
Research Cooperation ◽  
Management Efficiency ◽  
Collaborative Innovation ◽  
Incentive Strategies ◽  
Management Optimization ◽  
Innovation Knowledge

Actively launching industry-university-research cooperation projects in colleges and universities is an effective way to build an innovative country. The optimization of collaborative management of industry-university-research cooperation projects in colleges and universities determines whether scientific and technological achievements can be quickly transformed into real productive forces and whether the construction of an innovative country can be accelerated. Formulating scientific and reasonable policies, optimizing incentive strategies, risk management and benefit distribution, as well as optimizing personnel management, production management, and collaborative innovation knowledge management are conducive to improving the management efficiency of industry-university-research collaborative innovation and promoting the process of building an innovative country.

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.

scholarly journals Thinking About the Economic Management of Universities Based on Capital and Cost Management Optimization

2020 ◽  
Vol 3 (4) ◽  
Author(s):  
Lin Liu
Keyword(s):  
Cost Management ◽  
Colleges And Universities ◽  
Optimization Strategy ◽  
Economic Management ◽  
Current Implementation ◽  
Full Discussion ◽  
Educational Career ◽  
Management Optimization

The economic management of colleges and universities has always been a topic of great concern to China's educational career, therefore, this paper will firstly make the necessary analysis of the current implementation of the economic management of colleges and universities in China, and then the reasons for the problems of economic management of colleges and universities in China is realized a detailed investigation, and finally, the economic management of colleges and universities based on capital and cost management optimization strategy is made a full discussion, looking forward to providing the necessary guidance for researchers in this field.

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.

Innovative Hybrid Genetic Algorithms and Line Search Method for Industrial Production Management

2010 ◽  
pp. 142-160 ◽  
Author(s):  
Pandian M. Vasant
Keyword(s):  
Production Management ◽  
Optimization Problems ◽  
Fuzzy Optimization ◽  
Computational Techniques ◽  
Optimization Approach ◽  
Non Linear Programming ◽  
Decision Variables ◽  
Line Search Method ◽  
Non Linear ◽  
Management Optimization

Many engineering, science, information technology and management optimization problems can be considered as non linear programming real world problems where the all or some of the parameters and variables involved are uncertain in nature. These can only be quantified using intelligent computational techniques such as evolutionary computation and fuzzy logic. The main objective of this research chapter is to solve non linear fuzzy optimization problem where the technological coefficient in the constraints involved are fuzzy numbers which was represented by logistic membership functions by using hybrid evolutionary optimization approach. To explore the applicability of the present study a numerical example is considered to determine the production planning for the decision variables and profit of the company.

Sign in / Sign up

Export Citation Format

Share Document