Detailed Information

Cited 0 time in webofscience Cited 5 time in scopus
Metadata Downloads

A study on the connectivity patterns of individuals within an informal communication network

Full metadata record
DC Field Value Language
dc.contributor.authorKoohborfardhaghighi, S.-
dc.contributor.authorLee, D.B.-
dc.contributor.authorKim, J.-
dc.date.accessioned2024-08-08T01:31:38Z-
dc.date.available2024-08-08T01:31:38Z-
dc.date.issued2016-
dc.identifier.issn1876-1100-
dc.identifier.issn1876-1119-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/15442-
dc.description.abstractOrganizational 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.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleA study on the connectivity patterns of individuals within an informal communication network-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-981-10-0068-3_20-
dc.identifier.scopusid2-s2.0-84958087668-
dc.identifier.bibliographicCitationLecture Notes in Electrical Engineering, v.368, pp 161 - 166-
dc.citation.titleLecture Notes in Electrical Engineering-
dc.citation.volume368-
dc.citation.startPage161-
dc.citation.endPage166-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorCentrality measures-
dc.subject.keywordAuthorInformal communication network topology-
dc.subject.keywordAuthorOrganizational learning-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Jun Tae photo

Kim, Jun Tae
College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
Read more

Altmetrics

Total Views & Downloads

BROWSE