scholarly journals Research on the Influence of Industry-University-Research Cooperation Innovation Network Characteristics on Subject Innovation Performance

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Mingxing Li ◽  
Mengjuan Zhang ◽  
Fredrick Oteng Agyeman ◽  
Hira Salah ud din Khan
Keyword(s):  
Automobile Industry ◽  
Innovation Performance ◽  
University Research ◽  
Innovation Activity ◽  
Innovation Network ◽  
Research Cooperation ◽  
Network Characteristics ◽  
Structural Hole ◽  
The Subject ◽  
Per Capita

The automobile industry serves as the primary industry for national development and also enhances manufacturing development strategies. Its source of power comes from the maturity and operational efficiency of the technology innovation network within the industry. Firstly, this paper takes the automobile industry of the Yangtze River Economic Belt as the research object and depicts the topological structure of the 1985–2015 Industry-University-Research Cooperation Innovation Network (IURCIN) from the perspective of space-time evolution. Then, based on the 2015 industrial network characteristic data, the paper analyses the impact of individual network characteristics such as intermediate centrality, structural hole limitation, and cooperation intensity on the innovation performance of the respective network. At the same time, it adds innovation activity, per capita gross regional product (GRP), and research and development (R&D) fund input intensity as control variables in the quantitative analysis. The results show that the centrality and structural hole limitation significantly and positively affect the subject innovation performance. The cooperation intensity and the subject innovation performance have an inverted U-shaped relationship. The innovation activity has a positive effect on the subject’s innovation performance. Furthermore, per capita GRP and R&D expenditure intensity on the main innovation performance is not significant. Finally, the countermeasures and suggestions are put forward to promote the innovation performance of each subject in the IURCIN.

scholarly journals Formation of subject composition and structure of innovative activity in the conditions of digitalization

2021 ◽  
Vol 244 ◽  
pp. 10005
Author(s):  
Evgeniya Sizova ◽  
Evgeniya Zhutaeva ◽  
Olga Volokitina ◽  
Vladimir Volokitin
Keyword(s):  
Graph Theory ◽  
External Environment ◽  
Innovation Activity ◽  
Innovation Network ◽  
Conceptual Scheme ◽  
Composition And Structure ◽  
The Subject ◽  
Implementation Of Innovations ◽  
Oriented Approach

The article is devoted to the application of the subject-oriented approach in the management of innovative activities in the context of digitalization. The key directions of the analysis of the readiness of the enterprise for the implementation of innovations are identified and substantiated and their impact on innovative processes is characterized. The multi-subject nature is noted as one of the most significant aspects of the implementation of innovative activities by an enterprise, which affects its effectiveness. A conceptual scheme for the interaction of subjects is proposed, taking into account the specifics of innovation and focus on improving its efficiency in key areas. In order to form the optimal subject composition, a classification of the participants in the innovation network is proposed. The mechanisms of accounting for the degree of workload of an innovative subject as a consequence of the multi-project nature of the activity are considered. An algorithm has been developed for constructing the optimal subjective structure of innovation activity, based on the use of elements of graph theory in order to assess its optimality. Risks of intersubjective interaction are formulated when participants of the external environment participate in the innovation network.

Relationship quality, absorptive capacity and innovation performance of industry university research cooperative enterprises

2021 ◽  
pp. 1-10
Author(s):  
Zhihong Ai
Keyword(s):  
Relationship Quality ◽  
Absorptive Capacity ◽  
Absorption Capacity ◽  
Innovation Performance ◽  
University Research ◽  
Three Dimensions ◽  
Research Cooperation ◽  
Research Perspective ◽  
Cooperative Enterprises ◽  
The Impact

Based on the research perspective of industry university research cooperation, taking 227 industry university research cooperation enterprises as the research object, this paper studies the impact of relationship quality on absorptive capacity under the background of industry university research cooperation by using the calculation method of science and engineering SPSS. The results show that the three dimensions of relationship quality significantly improve potential absorptive capacity, potential absorptive capacity is conducive to actual absorptive capacity, the organizational learning plays a regulatory role between potential absorption capacity and actual absorptive capacity, actual absorptive capacity is conducive to the improvement of innovation performance, absorptive capacity plays a mediating role between relationship quality and innovation performance. It can be seen absorptive capacity plays a key role in industry university research cooperation, and cooperative enterprises should attach importance to the cultivation of their own absorptive capacity.

scholarly journals Does Entrepreneurship Contribute to Innovation Performance When Considering Spatial Spillover Effects? Evidence From the Automobile Industrial Cluster in China

SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402098299
Author(s):  
Haishi Li ◽  
Xiangyi Xu ◽  
Shuaishuai Li
Keyword(s):  
Automobile Industry ◽  
Hot Spots ◽  
Hot Spot ◽  
Empirical Support ◽  
Temporal Patterns ◽  
Spillover Effects ◽  
Industrial Clusters ◽  
Innovation Performance ◽  
Spatial Spillover ◽  
Spatio Temporal

Entrepreneurship, as one of the important factors to promote industrial innovation, is closely related to the development of the regional economy. Based on the methods of Kernel density and standard deviation ellipse, this article presents the spatio-temporal patterns of entrepreneurship and innovation performance. The article also examines the spatial spillover mechanism of entrepreneurship on innovation performance by establishing spatial Durbin models. The heterogeneous results of the spatial regression models in six clusters are also discussed. The final results show that the spatio-temporal patterns of entrepreneurship are gradually presenting three major hot spots and two secondary hot spots while the spatio-temporal patterns of innovation performance are presenting four major hot spots and a secondary hot spot; the spatial distribution of both entrepreneurship and innovation performance are changing regularly; the spillover effects of entrepreneurship and innovation performance are both significant; the spatial spillover mechanisms in six automobile industrial clusters are different. The results can provide empirical support for decision-making in the automobile industry in China in the future.

scholarly journals Applying the Heuristic to the Risk Assessment within the Automotive Industry Supply Chain

2017 ◽  
Vol 7 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Daniela Marasova ◽  
Miriam Andrejiova ◽  
Anna Grincova
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Automobile Industry ◽  
Risk Identification ◽  
Strategic Decision ◽  
Strategic Factor ◽  
Identification Evaluation ◽  
Key Factor ◽  
The Subject ◽  
Prospective Risk

AbstractRisk management facilitates risk identification, evaluation, control, and by means of appropriate set of measures, risk reduction or complete elimination. Therefore, the risk management becomes a strategic factor for a company’s success. Properly implemented risk management system does not represent a tool to avoid the risk; it is used to understand the risk and provide the bases for strategic decision-making.Risk management represents a key factor for the supply chain operations. Managing the risks is crucial for achieving the customer satisfaction and thus also a company’s success. The subject-matter of the article is the assessment of the supply chain in the automobile industry, in terms of risks. The topicality of this problem is even higher, as after the economic crisis it is necessary to revaluate the readiness of the supply chain for prospective risk conditions. One advantage of this article is the use of the Saaty method as a tool for the risk management within the supply chain.

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