scholarly journals Analysis on the topological structure of Inter-Enterprise technology transfer network: Taking Z-Park as an example

2020 ◽  
Vol 34 (11) ◽  
pp. 2050131
Author(s):  
Lin Lin ◽  
Jingying Xu ◽  
Lizhi Xing ◽  
Jun Guan
Keyword(s):  
Topological Structure ◽  
Patent Application ◽  
High Tech ◽  
Cooperative Network ◽  
Innovation Ecosystem ◽  
Scale Free ◽  
Leading Role ◽  
Enterprise Technology ◽  
Cooperation Network ◽  
Innovation Cooperation

To understand quantitatively how hi-tech enterprise cooperates with others in patent application over time is of great importance, for it affects how cooperative mechanism is organized and technology transferred. In this research, we construct the patent cooperation network IETTN from 2008–2017 in Z-Park to measure the overall structure of the network and the changes of nodes in the network, thus providing a new measurement for the innovation cooperation of high-tech enterprises from the perspective of the network. With the continuous expansion of patent cooperation among high-tech enterprises, enterprises’ roles in the cooperative network and innovation ecosystem are quite different. Through analysis, it can be found that the Z-Park patent cooperation network presents an obvious scale-free feature, and a few large state-owned enterprises and research institutions are playing a leading role in the network.

Evolution Model of Technology Innovation Cooperation Network of Software Enterprise

2014 ◽  
Vol 539 ◽  
pp. 355-359
Author(s):  
Wen Long Yu
Keyword(s):  
Technology Innovation ◽  
Target Selection ◽  
Small World ◽  
Selection Strategy ◽  
Complex Network Theory ◽  
Scale Free ◽  
Advantages And Disadvantages ◽  
Enterprise Technology ◽  
Cooperation Network ◽  
Innovation Cooperation

This article will complex network theory is introduced to the world's leading technology innovation cooperation network study, continue to deepen the theoretical study, by numerical simulation and empirical research on the method of combining technical innovation cooperation network to the evolution mechanism and its small world, scale-free characteristics were studied. First perfect the network modeling work decline period. Secondly, put forward the strategy of technology innovation diffusion, namely random selection, target selection and associated enterprises selection strategy, and compares the advantages and disadvantages of relationship between different strategies. Finally, combined the status quo of the cooperation technological innovation in our country, respectively from two levels to enterprises and government strengthen enterprise technical cooperation and improve enterprise technology innovation ability, and puts forward some Suggestions and countermeasures of technology innovation cooperation network further study is forecasted.

scholarly journals Feature and Tendency of Technology Transfer in Z-Park Patent Cooperation Network: From the Perspective of Global Optimal Path

2021 ◽  
Vol 6 (4) ◽  
pp. 111-138
Author(s):  
Jun Guan ◽  
Jingying Xu ◽  
Yu Han ◽  
Dawei Wang ◽  
Lizhi Xing
Keyword(s):  
Technology Transfer ◽  
Technology Diffusion ◽  
Structural Characteristics ◽  
Market Competition ◽  
Optimal Path ◽  
Patent Application ◽  
High Tech ◽  
Innovation Network ◽  
Innovation Activities ◽  
Cooperation Network

Abstract Purpose This study aims to provide a new framework for analyzing the path of technology diffusion in the innovation network at the regional level and industrial level respectively, which is conducive to the integration of innovation resources, the coordinated development of innovative subjects, and the improvement of innovation abilities. Design/methodology/approach Based on the Z-Park patent cooperation data, we establish Inter-Enterprise Technology Transfer Network model and apply the concept of Pivotability to describe the key links of technology diffusion and quantify the importance of innovative partnerships. By measuring the topologically structural characteristics in the levels of branch park and the technosphere, this paper demonstrates how technology spreads and promotes overall innovation activities within the innovation network. Findings The results indicate that: (1) Patent cooperation network of the Z-Park displays heterogeneity and the connections between the innovative subjects distribute extremely uneven. (2) Haidian park owns the highest pivotability in the IETTN model, yet the related inter-enterprise patent cooperation is mainly concentrated in its internal, failing to facilitate the technology diffusion across multiple branch parks. (3) Such fields as “electronics and information” and “advanced manufacturing” are prominent in the cross-technosphere cooperation, while fields such as “new energy” and “environmental protection technology” can better promote industrial integration. Research limitations Only the part of the joint patent application is taken into account while establishing the patent cooperation network. The other factors that influence the mechanism of technology diffusion in the innovation network need to be further studied, such as financial capital, market competition, and personnel mobility, etc. Practical implications The findings of this paper will provide useful information and suggestions for the administration and policy-making of high-tech parks. Originality/value The value of this paper is to build a bridge between the massive amount of patent data and the nature of technology diffusion, and to develop a set of tools to analyze the nonlinear relations between innovative subjects.

A GM(1,N)-based economic cybernetics model for the high-tech industries in China

Kybernetes ◽  
2014 ◽  
Vol 43 (5) ◽  
pp. 672-685 ◽  
Author(s):  
Zheng-Xin Wang
Keyword(s):  
Differential Equation ◽  
Patent Application ◽  
Small Sample ◽  
Total Output ◽  
High Tech ◽  
Data Set ◽  
Content Type ◽  
Fixed Assets ◽  
Grey Differential Equation ◽  
Medical Equipments

Purpose – The purpose of this paper is to propose an economic cybernetics model based on the grey differential equation GM(1,N) for China's high-tech industries and provide the necessary support to assist high-tech industries management departments with their policy making. Design/methodology/approach – Based on the principle of grey differential equation GM(1,N), the grey differential equations of five high-tech industries in China are established using the net fixed assets, labor quantity and patent application quantity as cybernetics variables. After the discretization and first-order subtraction reduction to the simultaneous equation of the five grey models, a linear cybernetics model is resulted in. The structure parameters in the cybernetics system show explicit economic significance and can be identified through least square principle. At last, the actual data in 2004-2010 are introduced to empirically analyze the high-tech industrial system in China. Findings – The cybernetics system for China's high-tech industries are stable, observable, and controllable. On the whole, China's high-tech industries show higher output coefficients of the patent application quantity than those of net fixed assets and labor quantity. This suggests that China's industry development mainly depends on technological innovation rather than capital or labor inputs. It is expected that the total output value of China's high-tech industries will grow at an average annual rate of 15 percent in 2011-2015, with contributions of pharmaceuticals, aircraft and spacecraft, electronic and telecommunication equipments, computers and office equipments, medical equipments and meters by 21, 16, 13, 10, and 28 percent, respectively. In addition, pharmaceuticals, as well as medical equipments and meters, present upward proportions in the gross of Chinese high-tech industries significantly. Electronic and telecommunication equipments, plus computers and office equipments exhibit an obvious decreasing proportion. The proportion of the output value of aircraft and spacecraft is basically stable. Practical implications – Empirical analysis results are helpful for related management departments to formulate reasonable industrial policies to keep the sustained and stable development of the high-tech industries in China. Originality/value – Based on the grey differential equation GM(1,N), this research puts forward an economic cybernetics model for the high-tech industries in China. This model is applicable to the economic system with small sample data set.

scholarly journals Toward the Blueprint of Campus-Based Ecosystems for Innovation

2017 ◽  
Vol 6 (1) ◽  
pp. 84 ◽  
Author(s):  
A. Georges L. Romme
Keyword(s):  
Knowledge Sharing ◽  
Value Chain ◽  
High Tech ◽  
Shared Resources ◽  
Budget Cuts ◽  
Innovation Ecosystem ◽  
Science Park ◽  
Dynamic Portfolio ◽  
High Level ◽  
Innovation Community

The “science park” model has long been showing signs of aging, with many science parks now facing budget cuts by local and regional governments. In this study, we dissect the blueprint of a highly successful campus-based ecosystem, the High Tech Campus Eindhoven (HTCE). As an innovation ecosystem, the HTCE provides its residents (a) access to shared resources and facilities, to facilitate research and product development, and (b) an innovation community that enhances knowledge sharing between people at the campus. The success of the HTCE arises from a deep and inclusive understanding of the conditions in which an ecosystem for research and development can thrive, and the commitment to carefully grow and sustain these conditions. These conditions include: low physical distances between the various buildings, offices and shared facilities; a dynamic portfolio of thematic workshops and meetings stimulate knowledge sharing and informal networking; careful management of the diversity and reputation of the campus; attracting and hosting “connectors” that have the capability to initiate and/or manage collaboration across a newly emerging value chain; and a high level of responsiveness to requests and feedback of residents.

scholarly journals Cooperative Evolution of China’s Excellent Innovative Research Groups from the Perspective of Innovation Ecosystem: Taking an “Environmental Biogeochemistry” Research Innovation Group as a Case Study

2021 ◽  
Vol 18 (23) ◽  
pp. 12584
Author(s):  
Jie Gao ◽  
Shu Liu ◽  
Zhijian Li
Keyword(s):  
Complex Systems ◽  
Technological Innovation ◽  
Research Group ◽  
Innovation Ecosystem ◽  
Team Cooperation ◽  
Innovative Research ◽  
Global Innovation ◽  
Peking University ◽  
Cooperation Network ◽  
External Governance

Research, understanding, and prediction of complex systems is an important starting point for human beings to tackle major problems and emergencies such as global warming and COVID-19. Research on innovation ecosystem is an important part of research on complex systems. With the rapid development of sophisticated industries, the rise of innovative countries, and the newly developed innovation theory, innovation ecosystem has become a new explanation and new paradigm for adapting to today’s global innovation cooperation network and the scientific development of complex systems, which is also in line with China’s concept of building an innovative country and promoting comprehensive innovation and international cooperation with scientific and technological innovation as the core. The Innovative Research Group at Peking University is the most representative scientific and technological innovation team in the frontier field of basic research in China. The characteristics of its organization mechanism and dynamic evolution connotation are consistent with the characteristics and evolution of innovation ecosystem. An excellent innovative research group is regarded as a small innovation ecosystem. We selected the “Environmental Biogeochemistry” Innovation Research Group at Peking University as a typical case in order to understand and analyze the evolution of cooperation among scientific and technological innovation teams, improve the healthy development as well as internal and external governance of this special small innovation ecosystem, promote the expansion of an innovation team cooperation network and the improvement of cooperation quality, promote the linkage supports of funding and management departments, and improve their scientific and technological governance abilities. Through scientometrics, visual analysis of knowledge maps, and an exploratory case study, we study the evolution process and development law of team cooperation. It is found that the main node authors of the cooperation network maintain strong cooperation frequency and centrality, and gradually strengthen with the expansion of the cooperation network and the evolution of time. Driven by the internal cooperative governance of the team and the external governance of the funding and management departments, this group has gradually formed a healthy, orderly, open, and cooperative special innovation ecosystem, which is conducive to the stability and sustainable development of the national innovation ecosystem and the global innovation ecosystem.

scholarly journals Research and Business Cooperation: International Practice and Siberian Experience

2019 ◽  
pp. 643-659
Author(s):  
Nataliya Kravchenko ◽  
Almira Yusupova ◽  
Svetlana Kuznetsova
Keyword(s):  
Success Factors ◽  
Academic Research ◽  
High Tech ◽  
Educational Organizations ◽  
Regional Innovation ◽  
Innovation Ecosystem ◽  
Level Of Confidence ◽  
Academic Researchers ◽  
Regional Economy Development ◽  
Development Of Partnership

The paper discusses possibilities and directions for bridging the gaps between academic research and business by reducing barriers and strengthening incentives for the development of partnership interactions between participants of the regional innovation ecosystem. Many researchers from developed and developing countries focus on the problems of interaction between universities and companies in order to find ways to increase academic research effectiveness and make the results relevant to the business sector’s real demand. Development of partnership relations is known to be a factor which accelerates creation and dissemination of innovations. Improvement of such relationship favours academic researchers’ possibilities, educational programs adjustment, and regional economy development. Basing on international experience review, the paper determines the main tendencies and perspectives of research – business cooperation as well as key directions of partnership cooperation support. The empirical part of the paper deals with the results of original pilot survey which uses data from a number of research, educational organizations and high tech companies from Novosibirsk region. The aim of the survey was to analyze success factors and main obstacles for sustainable research – business cooperation. Qualitative methods including case studies, interviews, and surveys were used within the research. It is shown that, although all representatives of science and business recognize the need to develop partnership relationships, differences in motivations and conflicting goals of participants still remain. Besides well known barriers (lack of financial and other resources, personnel etc.) some other factors turned to be important. Low level of confidence and negative cooperation experience impede cooperation development. Personal issues and previous successful experience help to develop and improve partnerships. Such cases could be found. State support (especially at the regional level) is quite necessary; it is not limited to financial instruments. Support of communications which helps to increase the level of confidence and to decrease “attrition costs” of cooperation is also of great importance

scholarly journals A Study of the Impact of Cloud Computing Alignment on the Enterprise Technological Capability Based on Environmental Turbulence

2021 ◽  
Vol 235 ◽  
pp. 02049
Author(s):  
MingXing Shao ◽  
XiaoHe Yang
Keyword(s):  
Cloud Computing ◽  
Industrial Development ◽  
Technology Development ◽  
Environmental Turbulence ◽  
High Tech ◽  
Enterprise Technology ◽  
Technology Absorption ◽  
The Impact ◽  
Development Capability

One of the most current concerns in the field of information system is whether cloud computing technology can deliver the desired improvement of capability and value to enterprises. This paper studied the enterprise technology development capability of the enterprises in Beijing Zhongguancun Technology Park, the first national high-tech industrial development zone in China, from the perspective of the breadth and depth of the alignment of cloud computing and enterprise. It proposed a theoretical model to study how the breadth and depth of alignment affects the enterprise technology development capability in a turbulent environment and considers the intermediary role of the enterprise technology absorption capability and the moderation role of environmental turbulence in it. The model was tested empirically by questionnaires and structural equation model (SEM). Empirical results showed that both the deep and wide alignment of cloud computing can enhance the enterprise technology development capability by improving the enterprise technology absorption capability.

Dynamics of digital entrepreneurship and the innovation ecosystem

2019 ◽  
Vol 26 (2) ◽  
pp. 266-284 ◽  
Author(s):  
Tatiana Beliaeva ◽  
Marcos Ferasso ◽  
Sascha Kraus ◽  
Eloi Junior Damke
Keyword(s):  
Analytical Techniques ◽  
Integrative Approach ◽  
High Tech ◽  
Innovation Ecosystem ◽  
Content Type ◽  
Internal Resources ◽  
Depth Analysis ◽  
Strategic Relationships ◽  
Different Levels ◽  
Digital Entrepreneurship

Purpose The purpose of this paper is to investigate the dynamics of digital entrepreneurship and the role of innovation ecosystem in its shaping by applying a multilevel perspective on the phenomenon. Design/methodology/approach An exploratory in-depth analysis of an IT company in Brazil is conducted using a quasi-mixed method design and three analytical techniques: pattern-matching, data exposure and social network analysis. The study is based on qualitative data, complemented by quantitative data. The case company is investigated within its time (historical development) and spatial (entire ecosystem) dimensions, providing an integrative approach to analysis. Findings The results revealed significant differences in a set of supporting innovation ecosystem’s actors and relationships throughout the development of the company from lower to higher levels of digitalization. The findings are discussed within a framework that links ecosystem’s actors at different layers with different levels of business digitalization. Research limitations/implications This research brings implications to SMEs in high-tech industries that are aiming to transform their business toward greater digitalization, and stresses the importance of strategic partners in innovation ecosystem in this process. Originality/value The novelty of this research is related to how external actors contribute to a company to adapt and create value, and how companies may exploit opportunities by configuring internal resources and external assets from strategic relationships. The study considers digital entrepreneurship in dynamics, distinguishes between different levels of digitalization and prescribes them different enablers and sets of relationships.

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