Examining the Effects of Communication Structure on Inter-Functional Performance Using Social Network Analysis

Scott C. Ellis; Joe Labianca; Jae-Young Oh

Examining the Effects of Communication Structure on Inter-Functional Performance Using Social Network Analysis

Scott C. Ellis, Joe Labianca, Jae-Young Oh

Logistics & Supply Chain Management

Research output: Contribution to conference › Presentation

Abstract

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.

Original language	American English
State	Published - Nov 20 2016
Event	Decision Sciences Institute Annual Meeting (DSI) - Duration: Nov 20 2016 → …

Conference

Conference	Decision Sciences Institute Annual Meeting (DSI)
Period	11/20/16 → …

Keywords

Analysis
Communication structure
Effects
Examining
Inter-functional performance
Social network

DC Disciplines

Business Administration, Management, and Operations
Operations and Supply Chain Management

Access to Document

http://tinyurl.com/hjoj3zf

Cite this

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title = "Examining the Effects of Communication Structure on Inter-Functional Performance Using Social Network Analysis",

abstract = " 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.",

keywords = "Analysis, Communication structure, Effects, Examining, Inter-functional performance, Social network",

author = "Ellis, {Scott C.} and Joe Labianca and Jae-Young Oh",

year = "2016",

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day = "20",

language = "American English",

note = "Decision Sciences Institute Annual Meeting (DSI) ; Conference date: 20-11-2016",

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TY - CONF

T1 - Examining the Effects of Communication Structure on Inter-Functional Performance Using Social Network Analysis

AU - Ellis, Scott C.

AU - Labianca, Joe

AU - Oh, Jae-Young

PY - 2016/11/20

Y1 - 2016/11/20

N2 - 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.

AB - 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.

KW - Analysis

KW - Communication structure

KW - Effects

KW - Examining

KW - Inter-functional performance

KW - Social network

UR - https://digitalcommons.georgiasouthern.edu/logistics-supply-facpres/138

UR - http://tinyurl.com/hjoj3zf

M3 - Presentation

T2 - Decision Sciences Institute Annual Meeting (DSI)

Y2 - 20 November 2016

ER -

Examining the Effects of Communication Structure on Inter-Functional Performance Using Social Network Analysis

Abstract

Conference

Keywords

DC Disciplines

Access to Document

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