Social networks and coordination of expertise

A qualitative study

Ye Ryung Kim-Chung, Liaquat Hossain, Kon Shing Kenneth Chung, Andrew Edwards

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

Abstract

This preliminary research investigates the relationship between properties of social networks and coordination of sharing and access to expertise during disasters, which is extremely important in emergency response during disaster incidents. Therefore, knowing where specialized knowledge (expertise) is located, where it is needed and how it may be brought to bear in timely manner is extremely crucial. We also examine a theoretical model for the inherent role of social network structure, ties and position of actors for gaining access to and sharing of expertise. In this study, we explore specific questions such as-by: How centralization and efficiency in an individual's social network associate with coordination?, and Would network constraint and tie strength in an individual's social network negatively/positively associate with coordination?. The paper provides a theoretical account of how the social network-coordination model is developed and how the model has been preliminary validated by disaster management experts (CIO and managers) from State Emergency Services (SES), NSW, Australia. Results from semi-structured interviews with key managers from SES shows the significance of informal social network roles in their profession, especially for solving disaster management issues. Interviewees elaborate on the point of how social network directly enable their coordination at work. A research framework is also outlined in the conclusion section with directions for future social network analysis and research pathway.

Original languageEnglish
Title of host publicationDSS 2.0 - Supporting Decision Making with New Technologies
Place of PublicationNetherlands, United States
PublisherIOS Press
Pages215-226
Number of pages12
ISBN (Print)9781614993988
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume261
ISSN (Print)0922-6389

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Disasters
Emergency services
Managers
Electric network analysis

Cite this

Kim-Chung, Y. R., Hossain, L., Chung, K. S. K., & Edwards, A. (2014). Social networks and coordination of expertise: A qualitative study. In DSS 2.0 - Supporting Decision Making with New Technologies (pp. 215-226). (Frontiers in Artificial Intelligence and Applications; Vol. 261). Netherlands, United States: IOS Press. https://doi.org/10.3233/978-1-61499-399-5-215
Kim-Chung, Ye Ryung ; Hossain, Liaquat ; Chung, Kon Shing Kenneth ; Edwards, Andrew. / Social networks and coordination of expertise : A qualitative study. DSS 2.0 - Supporting Decision Making with New Technologies. Netherlands, United States : IOS Press, 2014. pp. 215-226 (Frontiers in Artificial Intelligence and Applications).
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Kim-Chung, YR, Hossain, L, Chung, KSK & Edwards, A 2014, Social networks and coordination of expertise: A qualitative study. in DSS 2.0 - Supporting Decision Making with New Technologies. Frontiers in Artificial Intelligence and Applications, vol. 261, IOS Press, Netherlands, United States, pp. 215-226. https://doi.org/10.3233/978-1-61499-399-5-215

Social networks and coordination of expertise : A qualitative study. / Kim-Chung, Ye Ryung; Hossain, Liaquat; Chung, Kon Shing Kenneth; Edwards, Andrew.

DSS 2.0 - Supporting Decision Making with New Technologies. Netherlands, United States : IOS Press, 2014. p. 215-226 (Frontiers in Artificial Intelligence and Applications; Vol. 261).

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

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Kim-Chung YR, Hossain L, Chung KSK, Edwards A. Social networks and coordination of expertise: A qualitative study. In DSS 2.0 - Supporting Decision Making with New Technologies. Netherlands, United States: IOS Press. 2014. p. 215-226. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-399-5-215