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Cited 3 time in webofscience Cited 5 time in scopus
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How different connectivity patterns of individuals within an organization can speed up organizational learning

Authors
Koohborfardhaghighi, SomayehLee, Dae BumKim, Juntae
Issue Date
Sep-2017
Publisher
SPRINGER
Keywords
Knowledge management system; Knowledge sharing; Centrality measures; Informal communication network topology; Organizational learning; Agent-based modeling
Citation
MULTIMEDIA TOOLS AND APPLICATIONS, v.76, no.17, pp 17923 - 17936
Pages
14
Indexed
SCIE
SCOPUS
Journal Title
MULTIMEDIA TOOLS AND APPLICATIONS
Volume
76
Number
17
Start Page
17923
End Page
17936
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/14801
DOI
10.1007/s11042-016-3348-8
ISSN
1380-7501
1573-7721
Abstract
Knowledge sharing within a cooperative organization is an important issue since the power of its outcome has been the principal source of competitive advantage over the competitors in the market. However, without a proper collective knowledge management, its utilization as a strategic weapon or competitive advantage becomes difficult and inefficient. From an organizational perspective, the most important aspect of knowledge management is to transfer knowledge. In this regards, organizations must adopt structures that allow them to create and transfer more knowledge. 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 organizational learning through an informal communication network of people in the form of scale-free connectivity pattern is faster comparing to the small-world connectivity style.
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College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
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