scholarly journals Network Centrality and Open Innovation: A Social Network Analysis of an SME Manufacturing Cluster

2019 ◽  
pp. 1-14 ◽  
Author(s):  
Judith Woods ◽  
Brendan Galbraith ◽  
Nola Hewitt-Dundas
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Open Innovation ◽  
Network Centrality

scholarly journals ACOPLAMENTO BIBLIOGRÁFICO NA LITERATURA INTERNACIONAL SOBRE INOVAÇÃO ABERTA NO DESENVOLVIMENTO DE SOFTWARE

2020 ◽  
Author(s):  
Leonardo Pereira Pinheiro de Souza ◽  
Fabiano Armellini
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Open Innovation ◽  
Scientific Literature ◽  
Source Code ◽  
Developed Countries ◽  
Annual Average ◽  
Software Companies ◽  
Methodological Procedures

Software is ubiquitous in an information-based society. Market complexity requires companies to employ open innovation, incorporating external knowledge and providing knowledge to its’ partners. It is aimed to investigate the characteristics of international scientific literature on open innovation and software development, their theoretical affinities and the most relevant authors. As methodological procedures, bibliographic coupling is used, with Social Network Analysis principles, verifying: references in common between papers on this theme, production by country and its annual average. As a result, it is evident that developed countries have higher production on the topic, despite the low annual average. The most referenced papers discuss profitability strategies using open source code. It is concluded that open innovation enables software companies to share knowledge and contribute to the development of society

scholarly journals Knowledge Networks and the Role of Family Firms: The Case of an Italian Regional Cluster

2021 ◽  
Vol 7 (3) ◽  
pp. 193
Author(s):  
Stefano Ghinoi ◽  
Riccardo De Vita ◽  
Bodo Steiner ◽  
Alessandro Sinatra
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Open Innovation ◽  
Family Firms ◽  
Organizational Knowledge ◽  
Knowledge Networks ◽  
Regional Cluster

Studies on open innovation (OI) have highlighted the importance of inter-organizational knowledge networks. However, little is known about OI networks established by family firms, and their roles in such knowledge networks. By focusing on one of the most important Italian footwear clusters, this paper applies Social Network Analysis to investigate the role of family firms in exchanging knowledge according to their intra-cluster position and extra-cluster openness. Our results provide novel evidence on the role of family firms in OI networks, as they suggest that family firms mainly operate as gatekeepers in the technological and managerial networks, while they act as external stars in the market and managerial networks.

Influence of Opinion Leaders on Purchase Intention Using Social Network Analysis

2018 ◽  
Vol 10 (1) ◽  
pp. 1-16
Author(s):  
Yi-Fen Chen ◽  
Chia-Wen Tsai ◽  
Yu-Fu Ann
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Purchase Intention ◽  
Mobile Apps ◽  
Peer Group ◽  
Group Structure ◽  
Perceived Value ◽  
Opinion Leader ◽  
Network Centrality

This article examines social network centralities to identify peer group's opinion leader with the aim of determining whether an opinion leader and perceived value influence purchase intention in the field of paid mobile apps. Social network analysis (SNA) and regression analysis are applied to examine the hypotheses within the theoretical framework. The experiment involved a peer group of college students with total of 46 subjects. Using SPSS to analyze the influences of perceived value and the group's opinion leader on purchase intention, the results showed that consumer purchase intention is positively influenced by both the perceived value of paid mobile apps and positive advices given by opinion leader. In addition, an analysis using Ucinet 6 to examine consulting network centrality, friendship network centrality, and information centrality of every member of the group revealed that based on group structure, the group member having the highest centrality has the group's potential to be the opinion leader.

Microblog Social Network Analysis Based on Network Group Behavior

2013 ◽  
Vol 798-799 ◽  
pp. 435-438
Author(s):  
Lin Wang ◽  
Yang Zhao ◽  
She Hong Liang ◽  
Kan Shi
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Group Behavior ◽  
Scientific Basis ◽  
Network Centrality ◽  
Relationship Matrix ◽  
Close Attention ◽  
Mixed Network ◽  
Exchange Data

This paper has searched the six key influential network group incidents in 2011 in China through SINA Microblog platform, screen the most active Microblog users who pay close attention to the incidents, their Microblog followers are above 50,000 , finally collects 30 Microblog user information by the way of snowballing, form 30*30 “follow – be followed ” Microblog netizens relationship matrix. Specific to this asymmetric matrix, the authors use UCINET social network analysis software and visual software NETDRAW, analyze Microblog network structure, network centrality based on network group incidents, and comprehensively describe the laws to release and acquire group incidents under the mixed network environment of Microblog, combined with the massive Microblog exchange data, to analyze the non-rational behavior of the netizens, so as to provide a scientific basis for setting out the appropriate guiding strategy and interventions.

The Overlap of Collaboration and Planning Networks: A Post-Harvey Study

2021 ◽  
pp. 0739456X2199589
Author(s):  
Bryce Hannibal ◽  
Sierra Woodruff ◽  
Matthew Malecha
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Hazard Mitigation ◽  
Network Centrality

This paper uses social network analysis to assess the overlap of organizations involved in hazard mitigation and planning networks in Houston, TX. We compare measures of network centrality and density to highlight unique characteristics across two networks and discuss implications of connectivity within each network. Results suggest that central actors occupy important structural locations within both networks. These overlapping organizations may be highly influential in both planning and hazard mitigation efforts. Finally, we discuss aspects of connectivity in these networks and discuss how the networks can be used to become more equitable and holistic in planning and hazard mitigation efforts.

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