Evolution of the collaborative innovation network in the Korean ICT industry: a patent-based analysis

2021 ◽  
pp. 1-16
Author(s):  
Inyoung Hwang
Keyword(s):  
Innovation Network ◽  
Collaborative Innovation ◽  
Ict Industry

scholarly journals Dynamic Evolution Model of a Collaborative Innovation Network from the Resource Perspective and an Application Considering Different Government Behaviors

Information ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 138 ◽  
Author(s):  
Wu ◽  
Shao ◽  
Feng
Keyword(s):  
Network Evolution ◽  
Evolution Model ◽  
Dynamic Evolution ◽  
Innovation Network ◽  
Transfer Policy ◽  
Collaborative Innovation ◽  
Innovation Output ◽  
The Government ◽  
Small Change ◽  
Innovative Behaviors

The evolution of a collaborative innovation network depends on the interrelationships among the innovation subjects. Every single small change affects the network topology, which leads to different evolution results. A logical relationship exists between network evolution and innovative behaviors. An accurate understanding of the characteristics of the network structure can help the innovative subjects to adopt appropriate innovative behaviors. This paper summarizes the three characteristics of collaborative innovation networks, knowledge transfer, policy environment, and periodic cooperation, and it establishes a dynamic evolution model for a resource-priority connection mechanism based on innovation resource theory. The network subjects are not randomly testing all of the potential partners, but have a strong tendency to, which is, innovation resource. The evolution process of a collaborative innovation network is simulated with three different government behaviors as experimental objects. The evolution results show that the government should adopt the policy of supporting the enterprises that recently entered the network, which can maintain the innovation vitality of the network and benefit the innovation output. The results of this study also provide a reference for decision-making by the government and enterprises.

Investigating Usability of an Innovation Management Decision Aid

2019 ◽  
Author(s):  
Elizabeth Gendreau ◽  
Joshua D. Summers ◽  
Lamiae Benhayoun-Sadafiyine ◽  
Marie-Anne Le Dain
Keyword(s):  
Decision Aid ◽  
Assessment Tool ◽  
Innovation Management ◽  
Management Decision ◽  
Innovation Network ◽  
Think Aloud ◽  
Collaborative Innovation ◽  
Management Decision Making ◽  
Subjective Importance ◽  
The Impact

Abstract Initial usability testing was used to identify and fix usability concerns within a recently developed absorptive capacity assessment tool. The tool was designed to aid innovation management decision making by helping firms understand their processing of external knowledge within the context of a collaborative innovation network. Part of the recent development of the tool involved the implementation of Simos-Roy-Figueira’s revised method for eliciting subjective importance weights. However, the method, as it was applied within the tool, suffered from poor usability that could not be fully addressed. This paper presents a study on the usability of the tool further by conducting additional think-aloud studies to better understand its nature. Five common attributes of usability (efficiency, effectiveness, satisfaction, learnability, and usefulness) were characterized based on the findings from the think-aloud studies in order to develop a list of recommendations for improving usability. The goal of these recommendations is to help future academic developers of decision aid tools to better consider usability in their own work to maximize the impact and dissemination of their research.

scholarly journals An Evolution Analysis of Collaborative Innovation Network considering Government Subsidies and Supervision

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Yingying Xu ◽  
Liangqun Qi ◽  
Xichen Lyu ◽  
Xinyu Zang
Keyword(s):  
Evolutionary Game ◽  
Innovation Networks ◽  
Innovation Network ◽  
Scale Free Network ◽  
Government Subsidies ◽  
Scale Free ◽  
Evolution Analysis ◽  
Collaborative Innovation ◽  
Free Network ◽  
The Government

Collaborative innovation networks have the basic attributes of complex networks. The interaction of innovation network members has promoted the development of collaborative innovation networks. Using the game-based theory in the B-A scale-free network context, this paper builds an evolutionary game model of network members and explores the emergence mechanism from collaborative innovation behavior to the macroevolution of networks. The results show that revenue distribution, compensation of the betrayer, government subsidies, and supervision have positively contributed to the continued stability of collaborative innovation networks. However, the effect mechanisms are dissimilar for networks of different scales. In small networks, the rationality of the revenue distribution among members that have similar strengths should receive more attention, and the government should implement medium-intensity supervision measures. In large networks, however, compensation of the betrayer should be attached greater importance to, and financial support from the government can promote stable evolution more effectively.

scholarly journals Evolution Decision, Drivers and Green Innovation Performance for Collaborative Innovation Center of Ecological Building Materials and Environmental Protection Equipment in Jiangsu Province of China

2018 ◽  
Vol 15 (11) ◽  
pp. 2365 ◽  
Author(s):  
Wei Fang ◽  
Lulu Tang ◽  
Pengxiao Cheng ◽  
Naveed Ahmad
Keyword(s):  
Environmental Protection ◽  
Building Materials ◽  
Innovation Performance ◽  
Innovation Network ◽  
Governance Mechanism ◽  
Green Innovation ◽  
Relationship Strength ◽  
Decision Factors ◽  
Collaborative Innovation ◽  
Ecological Building

Faced with the bottlenecks and shortcomings brought about by the resource and environmental issues regarding the sustainable development of the economy and society, green innovation has become an important symbol to measure the sustainable competitive advantage of a country and a region. As an important carrier of green innovation, the evolution process of the collaborative innovation network and its green innovation performance are affected by many factors. Therefore, this paper refines the influencing factors of the formation and evolution of collaborative innovation networks and the evaluation indicators of the green innovation performance by literature analysis. According to the characteristics of each evolutionary influence factor, the relationship governance mechanism, relationship strength, and dominant role are defined as decision factors. The rest are defined as drivers. Then, the Analytic Network Process (ANP) is used to empirically analyze the interaction between network evolution decision, driving factors, and green innovation performance, and the interaction relationship model of decision factors, driving factors, and green innovation performance is obtained. The qualitative simulation algorithm based on qualitative simulation (QSIM) basic theory is used to simulate the evolution of a collaborative innovation network, and find the optimal decision to make the green innovation performance reach its relatively high point. Finally, this paper considers the Collaborative Innovation Center of Ecological Building Materials and Environmental Protection Equipment in Jiangsu Province of China as the research object, focusing on its initial stage of growth and maturity. Combining the theory of QSIM with the actual simulation, according to the different development stages of the Collaborative Innovation Center, this paper provides decisions that can promote the rapid improvement of green innovation performance in three aspects: relationship governance mechanism, relationship strength, and core leadership.

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