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Knowledge Sharing in Security-Sensitive Communities

delete2025-03-26
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OA
AI
Y
Yonit Rusho *
D
Daphne R. Raban
D
David Siman-Tov
G
Gilad Ravid
DOI:10.3390/fi17040144delete
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Abstract

Abstract

En 中文
Collective intelligence inherently relies on knowledge sharing. In security-sensitive organizations, tension arises between the need to develop collective knowledge and organizational culture, which requires secrecy. Drawing on the effects of trust on social behavior, this study examines knowledge-sharing in security-sensitive organizations compared to non-sensitive organizations dealing with the same subject matter. Methodology-We use Social Network Analysis (SNA) to analyze data from 18 communities: 7 security-sensitive and 9 non-sensitive. This comparative analysis explores the impact of organizational culture on communication structures and knowledge-sharing patterns. Findings-(1) The communication structure of security-sensitive communities differs from the structure of non-sensitive communities; (2) Security-sensitive communities have a higher density than non-sensitive communities. (3) When two security-sensitive organizations join together, knowledge sharing decreases. (4) Characteristics of the organizational culture of security-sensitive communities affect their network structure, which in turn affects knowledge sharing. This study provides valuable insights into the complex relationship between organizational culture, trust, and knowledge sharing in security-sensitive contexts. It highlights how secrecy and trust dynamics shape communication patterns and collective intelligence, contributing to a deeper understanding of knowledge-sharing practices in environments where security concerns are paramount. The findings are particularly relevant for improving knowledge-sharing strategies in both security-sensitive and non-sensitive organizations.
Keywords:
collective intelligence
knowledge sharing
social networks analysis
community structure
security-sensitive communities

Journal

Future Internet cover
Future Internet
IF:
3.6
Papers:
1.2K
Citations:
6.5K

Organization

B
Ben Gurion Univ Negev
Scholars:
724
Papers: 349
Citations: 131
I
inst res methodol intelligence irmi
Scholars:
1
Papers: 1
Citations: 0
U
Univ Haifa
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401
Papers: 229
Citations: 41
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