Innovation Ecosystem and Innovation Cooperation Networks: The Embeddedness of Global Innovation Chain of Guangdong's Manufacturing Sectors towards Industry 4.0

2020 ◽  
Author(s):  
Sheng Liu ◽  
Wenjing He ◽  
Xiuying Chen ◽  
Jingying Zhang
Keyword(s):  
Industry 4.0 ◽  
Innovation Ecosystem ◽  
Global Innovation ◽  
Manufacturing Sectors ◽  
Innovation Cooperation ◽  
Innovation Chain

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.

The effect of intellectual property treaties on international innovation collaboration: a study based on USPTO patents during 1976–2017

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
JianQin Xiang ◽  
Feicheng Ma ◽  
Haiyan Wang
Keyword(s):  
Intellectual Property ◽  
The United States ◽  
Content Type ◽  
Global Innovation ◽  
Collaboration Environment ◽  
International Patent ◽  
Record Data ◽  
Innovation Cooperation ◽  
States Patent

PurposeStudies have indicated that international innovation collaboration has promoted technology transfer and knowledge spillover between countries. The conclusion of various international intellectual property (IP) treaties has played an essential role in optimizing the international innovation and collaboration environment. This study investigates the effect of IP treaties on international innovation collaboration and whether international IP treaties can promote collaboration between a country and other economies in the world.Design/methodology/approachAfter collecting and extracting the patent record data from the United States Patent and Trademark Office (USPTO), a final dataset of 3,213,626 cooperative patents and 465,236 pairs of collaborations between two countries or regions is established. Based on the international patent collaboration data of 192 countries during 1976–2017, the changes in patent collaboration indicators after these countries joined 23 IP treaties are analyzed.FindingsInternational IP treaties have significantly increased the number of patent cooperation countries of a country and its importance in international cooperation networks. The role of IP treaties is more manifested by the increased opportunities for a country's international innovation cooperation than its influence on global innovation; this is of extreme significance for developing countries to introduce advanced technologies.Originality/valueGinarte and Park (1997) have confirmed that IP treaties have helped to raise the level of IP protection. In this study, the increase in the degree centrality of the international innovation network is evidence of IP treaties to promote innovation cooperation. For a developing country, joining an intellectual property treaty may strengthen intellectual property protection and optimize its own international innovation cooperation methods.

Espousal of Industry 4.0 in Indian Manufacturing Organizations

2020 ◽  
pp. 245-252
Author(s):  
Ravinder Kumar
Keyword(s):  
Power Generation ◽  
Decision Making ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Assembly Lines ◽  
Steam Power ◽  
The Third ◽  
Manufacturing Sectors ◽  
Manufacturing Organizations ◽  
Modern Era

A formal industrialization commenced with steam power generation and the application of machines that mechanized the industrial work in past. Subsequently, the development in electric power, the assembly lines, and mass manufacturing led toward the third era of numeric control and automation. Now in modern era of industry 4.0, robots connected with the computers and machines. Tools are working on machines learning algorithms and running the cyber physical manufacturing systems. Sensing the need of hour, Indian manufacturing organizations are working hard to implement the practices of Industry 4.0. Working on identical direction, the author has identified 12 enablers poignant the espousal of Industry 4.0 in Indian manufacturing sectors from literature review and by opinion of experts. Further, the author has used Decision Making Trial and Evaluation Laboratory (DEMATEL) technique for developing the structural and circumstantial kinship among the enablers of Industry 4.0.

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 Ecosystem of Innovation in Industry 4.0: the case of collaborations in Startups in Brazil

2018 ◽  
Vol 6 (12) ◽  
pp. 26-38
Author(s):  
Marcus Vinicius Gonçalves da Silva ◽  
Clarissa Figueredo Rocha ◽  
Vanessa Pagnoncelli ◽  
Letícia Aparecida Alves de Lima
Keyword(s):  
Open Innovation ◽  
Industry 4.0 ◽  
Chief Executive ◽  
Digital Transformation ◽  
Structured Interviews ◽  
Innovation Ecosystem ◽  
Digital Innovation ◽  
Sources Of Knowledge ◽  
Multiple Case

The article identifies how Research and Development (R&D) collaborations in startups can influence digital innovation in Brazilian manufactures. A qualitative multiple case study was performed with startups incubated at the Federation of Industries of Paraná (FIEP), through semi-structured interviews to the Chief Executive Officer (CEOs) and case document’s, applying the content analysis. The results indicate that the sources of knowledge of the startups and the collaboration with companies, universities, government development agencies and incubators, characterize the actions in the ecosystem of open innovation. It has been found that the complexity of the innovation ecosystem of startups is a strategic asset, and the nature of the collaborations is informal, coupled with a stage of maturity considered low in startups. This study contributes to highlight the nature, dynamics and progress of startup collaborations in the development of digital transformation, and the challenges for the leverage of Industry 4.0 in Brazil.

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.

An Initial Framework for Implementation of Industry 4.0 in the High Technological Manufacturing Sector in Southern California

2019 ◽  
Author(s):  
Sagil James ◽  
Anupam Shetty
Keyword(s):  
Industry 4.0 ◽  
Southern California ◽  
Industrial Revolution ◽  
Manufacturing Sector ◽  
Smart Manufacturing ◽  
New Paradigm ◽  
Manufacturing Sectors ◽  
Southern California Region ◽  
The Internet Of Things ◽  
Initial Framework

Abstract The fourth industrial revolution, also known as Industry 4.0 is a new paradigm that is significantly influencing several manufacturing industries across the globe. Industry 4.0 synchronizes concepts such as Smart Manufacturing, Smart Factory, and the Internet of Things with existing factory automation technologies in order to improve value in manufacturing by monitoring key performance indicators and creates value in all manufacturing related aspects. Currently, several industries have started early initiatives of implementing these technologies. As the industries are evaluating their readiness for implementing the Industry 4.0 concepts, there are several challenges which need to be addressed including high initial investment, lack of standardization, data security and lack of skilled labor. A strategic roadmap towards implementing the Industry 4.0 paradigms is still unclear in the industry as well as in academia. This research develops an initial framework for the effective implementation of Industry 4.0 in the high technology manufacturing sectors in the Southern California region. The results of this study are expected to provide a platform to expand the opportunities of Industry 4.0 further and facilitate worldwide adoption.

ECOSYSTEM "INDUSTRY 4.0" OF AUTOMOTIVE INDUSTRY IN THE CONDITIONS OF WORLD CHALLENGES

2020 ◽  
Vol 1 (6) ◽  
pp. 101-110
Author(s):  
E. S. PODBORNOVA ◽  
Keyword(s):  
Automotive Industry ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Statistical Data ◽  
Digital Technologies ◽  
Automotive Sector ◽  
Innovation Ecosystem ◽  
Fourth Industrial Revolution ◽  
World Industry ◽  
Main Component

The article is devoted to a review of the current problems of the fourth industrial revolution, namely, the development of the Industry 4.0 ecosystem in the automotive sector. The following issues were considered: globalization of world industry; digital technologies as the main component in industrial competition; innovation ecosystem; analysis of statistical data of the world's largest consulting audit companies; directions of modernization of the existing system in the context of the identified problems, as well as recommendations in connection with the current situation with COVID-19.

Espousal of Industry 4.0 in Indian Manufacturing Organizations

2021 ◽  
pp. 1244-1251
Author(s):  
Ravinder Kumar
Keyword(s):  
Power Generation ◽  
Decision Making ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Assembly Lines ◽  
Steam Power ◽  
The Third ◽  
Manufacturing Sectors ◽  
Manufacturing Organizations ◽  
Modern Era

A formal industrialization commenced with steam power generation and the application of machines that mechanized the industrial work in past. Subsequently, the development in electric power, the assembly lines, and mass manufacturing led toward the third era of numeric control and automation. Now in modern era of industry 4.0, robots connected with the computers and machines. Tools are working on machines learning algorithms and running the cyber physical manufacturing systems. Sensing the need of hour, Indian manufacturing organizations are working hard to implement the practices of Industry 4.0. Working on identical direction, the author has identified 12 enablers poignant the espousal of Industry 4.0 in Indian manufacturing sectors from literature review and by opinion of experts. Further, the author has used Decision Making Trial and Evaluation Laboratory (DEMATEL) technique for developing the structural and circumstantial kinship among the enablers of Industry 4.0.

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