scholarly journals Study on the Network Structure Character of Core Enterprises in the Innovation Network

2010 ◽  
Vol 5 (2) ◽  
Author(s):  
Ling Li
Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jianbo Wang ◽  
Xing Cao

Our country’s equipment manufacturing industry ranks among the best in all developing countries, but compared with developed countries, there is still a long way to go. It is not only the backwardness of various technologies, but also the interference of other countries. Although our country's equipment manufacturing industry is not as advanced as the advanced technology of developed countries, we still have to stick to our original aspirations, do not underestimate ourselves, and be good at absorbing and learning from the strengths of others to make up for our own weaknesses. While not working behind closed doors and while absorbing technology from other countries, we can make use of our strengths to make up for our weaknesses and develop our own industrial technology. This paper studies the evolution trend of innovation network structure and at the same time studies the evolution mechanism of advanced equipment manufacturing innovation network structure from the perspective of complex systems. The explained variable in this article is green total factor productivity. The variable adopts the Malmquist–Luenberger global super-efficiency index model. There are two main explanatory variables. One is the heterogeneity that affects the efficiency of industrial evolution, including factor heterogeneity, structural heterogeneity, and environmental heterogeneity, and the other is the interaction term of equipment manufacturing specialization agglomeration degree dummy variable multiplied by factor heterogeneity. The regional economic development level is added to the model as a control variable. In the selection of measurement indicators, the per capita GDP is used as the control variable. The experimental results show that each sample is tested in pairs, and the standard error level of the mean is 0.018, which is less than 0.05, indicating that the efficiency of the equipment manufacturing industry’s economic correlation spatial network has a significant impact on the overall economic development level of the industry. The reduction in spur helps to increase economic output.


2020 ◽  
Author(s):  
Xia Cao ◽  
Chuanyun Li ◽  
Jinqiu Li ◽  
Yunchang Li

Abstract With the weighted scale-free cooperative innovation network of industry-university-research established by the weighted evolutionary BBV model as the research object, based on the interaction between knowledge innovation diffusion and network structure, a corresponding model of knowledge innovation diffusion is constructed. By using complex network theory and simulation analysis methods, the evolution law of knowledge innovation diffusion in the industry-university-research cooperative innovation network is analyzed. The results show that the overall knowledge level of the industry-university-research cooperative innovation network shows a rapid growth trend, and the growth rate of knowledge shows a changing trend of slowing first and then increasing abruptly; the greater the degree of the innovator, the higher its knowledge level; the more stable the cooperative relationships between innovator, and the stronger its knowledge diffusion ability; the knowledge diffusion mode and network structure are the reasons for the emergence of sudden changes in the network; the knowledge diffusion constraints and network structure are the keys to knowledge innovation and diffusion; with the passage of time, the knowledge level differentiation among innovators gradually increases, and the role of hub institutions in knowledge innovation diffusion becomes increasingly prominent.


2019 ◽  
Vol 38 (3) ◽  
pp. 310-324
Author(s):  
Rafael Ventura ◽  
María José Quero ◽  
Montserrat Díaz-Méndez

Purpose The purpose of this paper is to analyze how institutions can facilitate or inhibit radical innovation. The authors argue that organizational radical innovation is necessary to maintain a competitive advantage and to evolve in the market place, and institutions are the basis of this innovation. From an innovation and service dominant (SD) logic perspective, network ties are proposed to be a determining factor for the achievement of innovation through institutionalization in the university knowledge management context. Design/methodology/approach A conceptual approach is applied to develop and propose a framework for deepening understanding of radical organizational innovation, institutions and network ties. Data were gathered from Link by UMA-ATech, which in the context of the University of Málaga (Spain) is with great success developing a strategy based on fostering innovation. In all, 22 in-depth interviews were conducted with actors in the Link context, together with additional important second-order data analyses (sector analyses, statistics and company websites). Because of the perceived desirability of innovation, public universities have established a model as a part of this strategy in order to foster and develop new businesses through technology transfer. Findings Changing institutional arrangements are the basis of innovation. Opening universities to the actors around them, with an interest in exchanging resources through the evolution of network ties toward a less bureaucratic and more collaborative and open university (tertius iungens) is the basis for reaching organizational radical innovation in the university context to develop the provider-driven radical innovation network structure via the “University Living Lab” theoretical model. Research limitations/implications A conceptual understanding is used in combination with an empirical approach, in which one case study and 22 organizations are considered in the context of Link-by-UMA ATech, at the University of Málaga. A range of different contexts from other universities would also be useful to add new perspectives to the development of the theory. Practical implications Although radical innovation is occasionally seen in systems and arises naturally in markets, it is interesting to consider the possibility of designing strategies that facilitate the process from the beginning of the design of the business model. In this sense, the present findings could help organizations in general and universities in particular, to devise strategies resulting in positive relationships that could facilitate the design of business model structures. These could in turn foster the development of new institutions resulting in new network ties, which could give rise to radical innovation through the attraction of new actors interested in exchanging service-for-service resources. Originality/value The present paper develops the provider-driven radical innovation network structure of the “University Living Lab” theoretical model, which encourages the university to make decisions to devise more open models based on a change of network ties, in turn based on the design of new institutional arrangements. These concepts have not previously been put together, and build on the theories of institutions and organizational radical innovation. This theoretical contribution is framed within the SD logic perspective and specifically in the 11th fundamental premise (FP 11/5th axiom) to better understand how innovation occurs in service ecosystems, allowing the provider the possibility of developing such processes through the design of institutional arrangements.


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