Examining the Effects of Communication Structure on Inter-Functional Performance Using Social Network Analysis
Document Type
Presentation
Presentation Date
11-20-2016
Abstract or Description
We apply social network analyses to 5M email messages, matched survey response data, and archival process data obtained from a global consumer goods manufacturer to examine how communication structure influences the performance of inter-functional dyadic ties. Initial results indicate important moderators that constrain the efficacy of inter-functional communications.
Sponsorship/Conference/Institution
Decision Sciences Institute Annual Meeting (DSI)
Location
Austin, TX
Recommended Citation
Ellis, Scott C., Joe Labianca, Jae-Young Oh.
2016.
"Examining the Effects of Communication Structure on Inter-Functional Performance Using Social Network Analysis."
Department of Logistics & Supply Chain Management Faculty Presentations.
Presentation 138.
https://digitalcommons.georgiasouthern.edu/logistics-supply-facpres/138
