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 How Intellectual Property Management Capability and Network Strategy Affect Open Technological Innovation in the Korean New Information Communications Technology Industry

2018 ◽  
Vol 10 (8) ◽  
pp. 2600 ◽  
Author(s):  
So Kim ◽  
Eungdo Kim
Keyword(s):  
Intellectual Property ◽  
Technological Innovation ◽  
Open Innovation ◽  
Communications Technology ◽  
Management Capability ◽  
New Information ◽  
Cooperation Network ◽  
Ict Industry ◽  
The Impact ◽  
Ip Management

This paper analyses factors in open innovation activity in the Korean new information and communications technology (ICT) industry, with a focus on cooperation network strategy and intellectual property (IP) management capability, by applying multiple regression models with data collected from 300 companies within the industry. The results of this analysis suggested that the intensity and variation of a company’s technological cooperation with a new ICT company has a statistically meaningful impact on its innovation. In particular, the impact depended on the type of cooperation network. Though IP management capability was also shown to have an important influence on a new ICT company’s innovation, the impact of specific actions for IP management varied by the specific type of innovation results. This study suggests that new ICT companies need to construct technological innovation networks using multiple external sources and enhance their IP management capability in order to increase their technological innovation performance. The factors influencing technological innovation are elements of open innovation, indicating the open technological innovativeness of the new ICT Industry.

scholarly journals The Construction and Evolution of Technological Innovation Ecosystem of Chinese Firms: A Case Study of LCD Technology of CEC Panda

2019 ◽  
Vol 11 (22) ◽  
pp. 6373 ◽  
Author(s):  
Jingxian Gan ◽  
Yong Qi ◽  
Chen Tian
Keyword(s):  
Technological Innovation ◽  
Liquid Crystal Display ◽  
Longitudinal Case Study ◽  
Innovation Ecosystem ◽  
Chinese Firms ◽  
Internal Factors ◽  
Driving Mechanisms ◽  
Three Stages ◽  
Main Factor

With a longitudinal case study on the development of Liquid Crystal Display (LCD) technology of China Electronics (CEC) Panda, this study examined how Chinese firms build their technological innovation ecosystem (TIE). We explored the evolution and the driving mechanisms of TIE. The results of the study found: (1) The enterprise’s motivations for innovation and innovation efficiency can be improved when the core enterprise’s TIE is constructed. (2) The evolution of the enterprise’s TIE undergoes three stages: formation period, incubation period, and development period. (3) The interaction between the external factors from the environment and the internal factors from the agent drives the evolution of the TIE (4). Three types of driving modes develop, depending on the nature of the main factor affecting TIE development: extrapolation drive, hybrid drive, and internal drive.

40 Years of Technological Innovation in China: A Review of the Four-Stage Climbing Track

2019 ◽  
Vol 04 (03) ◽  
pp. 1950008 ◽  
Author(s):  
Jiasu Lei ◽  
Ying Liu ◽  
Yaoyuan Qi ◽  
Qingzhi Zhang
Keyword(s):  
Technological Innovation ◽  
International Governance ◽  
Innovation Ecosystem ◽  
Competition And Cooperation ◽  
Scientific Innovation ◽  
Innovation Model ◽  
Innovation Competition ◽  
Reform And Opening Up ◽  
Opening Up ◽  
Innovation And Development

This paper combs the landscapes of China’s technological innovation practice during the 40 years of reform and opening up, and describes it as “Four-Stage Climbing” that is, “Learning–Introducing–Supplying Stage” (LIS Stage), “Introducing–Imitating–Improving Stage” (III Stage), “Integrating–Boosting–Creating Stage” (IBC Stage), and the “Innovating–Iterating–Promoting Stage” (IIP Stage). It also explains the background of each stage and its specific innovation model. Furthermore, the paper emphasizes the main features, basic experiences and main lessons of China’s technological innovation practice during the past 40 years. This paper demonstrates that with the deepening of innovation-driven development, especially in the field of “Innovation Leads Development” which is valued by the country and industry, at this stage, it is urgent to pay closer attention to the following issues: first of all, the possible changes in mechanisms of international innovation competition and cooperation under the background of potential reconstruction for international governance; secondly, the occurrence and realization mechanism of Leading Scientific and Technological Innovation in the era of science and technology, as well as the structural and institutional mechanisms of the national innovation ecosystem, and also the ecological niche in which the future scientific innovation subject and technological innovation subject should be in the national innovation ecosystem; furthermore, the mechanism of innovation and development for “science-based industries”; last but not the least, the logical construction of innovation and development research under the Chinese context.

scholarly journals Entrepreneurship, intellectual property and innovation ecosystems

2021 ◽  
Vol 9 (2) ◽  
pp. 108-134
Author(s):  
Diego Reis ◽  
Fábio Moura ◽  
Iracema Aragão
Keyword(s):  
Intellectual Property ◽  
Fixed Effects ◽  
Fixed Time ◽  
Empirical Literature ◽  
Innovation Ecosystem ◽  
Innovation Ecosystems ◽  
Time Control ◽  
Global Innovation ◽  
Structural Relationships ◽  
The Relationship

This research aims to determine the relationship between entrepreneurship, intellectual property and innovation ecosystems at a global level. To assess the structural relationships between ecosystems, the unconditional quantile regressions using annual country data are estimated from two perspectives, namely: pooled data and data with fixed effects and time control. The Global Entrepreneurship Index (GEI), the US Chamber International IP Index (IPI) and the Global Innovation Index (GII) are used as a proxy for the entrepreneurship, intellectual property and innovation ecosystem, respectively. The results indicate that the entrepreneurship and intellectual property ecosystems has a causal relationship with the global innovation ecosystem. However, when control of individual and fixed time effects is included, the relationship between ecosystems is confirmed in just a few quantiles. The sterile results require efforts from public, private and other agents to improve the performance of ecosystems, especially to increase the generation of innovative assets. This study looks at ecosystems from a different perspective, and the results are relevant to policymakers looking to improve the ecosystems of entrepreneurship, intellectual property and innovation. The originality of this article lies in bringing together issues that are generally dealt with in theoretical and empirical literature in separate domains. The study of the relationship between ecosystems from global indexes remains a little explored field, despite the various alternative approaches already investigated.

scholarly journals Technology sharing game from ecological perspective

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Hua Zou ◽  
Deyu He
Keyword(s):  
Technological Innovation ◽  
Evolutionary Game ◽  
Innovation Ecosystem ◽  
Competition And Cooperation ◽  
Innovation Activities ◽  
Enterprise Technology ◽  
Innovation Platform ◽  
Relationship Of ◽  
Main Relationship ◽  
Insight Into

Abstract New technological revolution has brought about significant changes in technological innovation activities. The platform has become an indispensable part of the innovation ecosystem of technology-intensive enterprises, which is derived from enterprise technology sharing. The main relationship of the innovation ecosystem is competition and cooperation. We use evolutionary game theory to consider the sharing behaviour of two enterprises in terms of different implicit parameters, thereby providing insight into the design of innovation ecosystem and technology innovation platform policies that promote open and shared technological innovation.

scholarly journals INNOVATIVE ECOSYSTEM IN THE CONDITIONS OF THE COVID-19 PANDEMIC

2020 ◽  
Vol 134 (6) ◽  
pp. 16-25
Author(s):  
PURDENKO Olena
Keyword(s):  
The State ◽  
Optimal Conditions ◽  
Innovation Ecosystem ◽  
Innovation Ecosystems ◽  
Highly Efficient ◽  
Factors Influencing ◽  
Global Innovation ◽  
Main Factors

There is characterized the state of functioning of the innovation ecosystem in the conditions of a pandemic. There is presented the experience of reorganization of highly efficient innovation ecosystems during the crisis, which contributed to the achievement of optimal conditions for functioning and development. There are analyzed the main indi­cators of the Global Innovation Index 2020 and the main factors influencing the formation of the innovation ecosystem of Ukraine. There are proposed measures to strengthen it.

Sign in / Sign up

Export Citation Format

Share Document