Next Article in Journal
Learning Subword Embedding to Improve Uyghur Named-Entity Recognition
Next Article in Special Issue
A Novel Approach for Web Service Recommendation Based on Advanced Trust Relationships
Previous Article in Journal
Data Consistency Theory and Case Study for Scientific Big Data
Previous Article in Special Issue
Analysis of SAP Log Data Based on Network Community Decomposition
Open AccessArticle

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

School of Economics and Management, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China
*
Author to whom correspondence should be addressed.
Information 2019, 10(4), 138; https://doi.org/10.3390/info10040138
Received: 22 February 2019 / Revised: 6 April 2019 / Accepted: 11 April 2019 / Published: 12 April 2019
(This article belongs to the Special Issue Computational Social Science)
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. View Full-Text
Keywords: innovation resource; collaborative innovation; network evolution; government behaviors innovation resource; collaborative innovation; network evolution; government behaviors
Show Figures

Figure 1

MDPI and ACS Style

Wu, Z.; Shao, Y.; Feng, L. Dynamic Evolution Model of a Collaborative Innovation Network from the Resource Perspective and an Application Considering Different Government Behaviors. Information 2019, 10, 138.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop