The link between knowledge sharing connections and employee time savings: A social network analysis

2017 ◽  
Vol 35 (8-9) ◽  
pp. 455-467 ◽  
Author(s):  
Cristina Poleacovschi ◽  
Amy Javernick-Will ◽  
Tony Tong
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Sharing ◽  
Time Savings

Filling structural holes? Guanxi-based facilitation of knowledge sharing within a destination network

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiayuan Liu ◽  
Jianzhou Yan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Sharing ◽  
Design Methodology ◽  
Network Structures ◽  
Structured Interviews ◽  
Tourist Destination ◽  
Structural Holes ◽  
Content Type

PurposeThis study examines the relationships between structural holes, guanxi and knowledge sharing among groups of stakeholders within a Chinese destination network.Design/methodology/approachThis study conducted surveys, social network analysis and semi-structured interviews to gather data from the stakeholders of a popular Chinese tourist destination to test its hypotheses.FindingsKnowledge sharing within the destination network was impeded by structural holes but facilitated by guanxi. Furthermore, the impeding effect of structural holes on knowledge sharing is alleviated by guanxi.Originality/valueThis study illustrates the ways that stakeholders exploit structural holes and guanxi to promote knowledge sharing, and thus offers novel insights into how destination network structures affect the efficacy of stakeholders when it comes to sharing knowledge and promoting their destination.

scholarly journals Utilization of Social Network Analysis (SNA) in Knowledge Sharing in College

2020 ◽  
Vol 4 (2) ◽  
pp. 259-271
Author(s):  
Nurrokhman Nurrokhman ◽  
Hindriyanto Dwi Purnomo ◽  
Kristoko Dwi Hartomo
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Sharing ◽  
Closeness Centrality ◽  
Density Level ◽  
Study Program ◽  
Central Java ◽  
The Social ◽  
Study Programs

Campus competition in Central Java creates superior and empowered human resources to make XYZ campus optimize the Knowledge Sharing process. In optimizing the Knowledge Sharing process on the XYZ campus through interaction and communication between students in the study program. This study aims to identify the Knowledge Sharing collaboration of students on the XYZ campus in three study programs with 100 respondents using the Social Network Analysis (SNA) method. The parameters used in this study include density, degree centrality, closeness centrality, betweenness centrality, and clicks (subgroups). Based on the analysis of the results obtained by the level of density level of 4.7% or weak ties because under 50%. Actor 98 has the highest degree of centrality with outdegree value 32 and indegree 7, while actor 65, which has the highest closeness centrality with inCloseness value 16,952 and outCloseness value 1,020. Actor 15 also has the highest centrality betweenness with an amount of Betweenness 2750,148 and nBetweenness 28,346. In this study, it can be concluded that there is collaboration in the Knowledge Sharing of students on the XYZ campus from each divided into three study programs, namely, informatics engineering, accounting computerization, and graphic design.

scholarly journals A Case Study of Roles in the Social Reading Activities

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Chen Guo ◽  
Chun Luo
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
University Students ◽  
Knowledge Sharing ◽  
Reading Process ◽  
The Social ◽  
Reading Activities ◽  
Social Reading

Readers who participate in social reading activities can play a variety of roles. These roles can reflect differences in the behaviors among readers and influence the knowledge sharing and information flowing in the social reading process. This study investigates a community of university students’ roles in the WeChat reading activities. Social Network Analysis approach was adopted for analyzing the data in WeChat reading. Results indicate that different roles have different effects on the connection between subgroups and the dissemination of information, which can cause influences on the generation and development of social reading networks as well. This study offers implications for facilitating readers’ interactions and knowledge sharing in the social reading contexts.

Influence of Social Media on Enterprise Knowledge Sharing Based on Social Network Analysis

2021 ◽  
Vol 11 (2) ◽  
pp. 99-118
Author(s):  
Yongtao Deng
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Sharing ◽  
Structural Equation Models ◽  
Intermediary Role ◽  
The Common ◽  
The Impact ◽  
Innovation Behavior

Abstract Based on the social network analysis method, this paper studies the impact of corporate knowledge-sharing in social media, sorts out the relationship between corporate internal social capital, knowledge-sharing, and individual innovation behavior, and explores the reliability of the scale through exploratory factor analysis validity test to ensure the reliability and rationality of the questionnaire, using improved social networks to construct structural equation models and regression analysis to verify the research model and related assumptions, and found that social media tacit knowledge-sharing in structural capital, cognitive capital the intermediary effect in the influence of individual innovation behavior is remarkable. The sharing attitude has a broad intermediary role between the interactive relationship and the willingness to share. There is a partial intermediary role between the reciprocity and the willingness to share, the common language, and the willingness to share, the common vision, and the willingness to share.

Safety knowledge sharing on Twitter: A social network analysis

2021 ◽  
Vol 143 ◽  
pp. 105411
Author(s):  
Qi Yao ◽  
Rita Yi Man Li ◽  
Lingxi Song ◽  
M. James C. Crabbe
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Sharing ◽  
Safety Knowledge
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