A study on the connectivity patterns of individuals within an informal communication network
- Authors
- Koohborfardhaghighi, S.; Lee, D.B.; Kim, J.
- Issue Date
- 2016
- Publisher
- Springer Verlag
- Keywords
- Centrality measures; Informal communication network topology; Organizational learning
- Citation
- Lecture Notes in Electrical Engineering, v.368, pp 161 - 166
- Pages
- 6
- Indexed
- SCOPUS
- Journal Title
- Lecture Notes in Electrical Engineering
- Volume
- 368
- Start Page
- 161
- End Page
- 166
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/15442
- DOI
- 10.1007/978-981-10-0068-3_20
- ISSN
- 1876-1100
1876-1119
- Abstract
- Organizational communication structure affects the nature of human interactions and information flow which in its own turn can lead to a competitive advantage in the knowledge economy. However, in addition to that, social relationships between individuals in an organization can also be utilized to produce positive returns. In this article we emphasize the role of individual structural importance within an organizational informal communication structure as a mechanism for knowledge flow and speeding up organizational learning. Our experimental results indicate the fact that structural position of individuals within their informal communication networks can help the network members to have a better access to ongoing information exchange processes in the organization. The results of our analyses also show that through an informal communication network of people in the form of scale-free connectivity pattern organizational learning is faster comparing to small-world connectivity style. © Springer Science+Business Media Singapore 2016.
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Collections - College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

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