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  4. A Replay Analysis Methodology for Small-Group Communication Research: Unique Characteristics, Potential Benefits and Application Guide
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A Replay Analysis Methodology for Small-Group Communication Research: Unique Characteristics, Potential Benefits and Application Guide

Type
conference paper
Date Issued
2015-05-24
Author(s)
Alexander, née Shumarova, Elitsa  
;
Eppler, Martin J.  
;
Bresciani, Sabrina  
Abstract
This paper discusses the application of a “re-play analysis research methodology” – an innovative technique for analyzing group communication discourse. Through a screen recording functionality, the software-supported group debate (captured by the creation and modification of textual elements on a software-preloaded visual template) can be re-played from the start to visually reconstruct how the conversation has unfolded. Apart from providing a step-by-step application guide for the suggested methodology, we outline its unique characteristics and potential benefits. We illustrate the specific methodological advantages that re-play analysis offers through the lens of the “l-o-t-u-s effect” metaphor. Following this, an example study is described in which the re-play methodology was employed in experience sharing sessions with ninety active managers. Reporting on this study allows a broad range of re-play analysis’s potential benefits to be highlighted. In closing the paper, a discussion is held on the range of possible application areas of the re-play analysis.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Book title
Proceedings of the 65th Annual Conference of the International Communication Association (ICA), 21-25 May 2015, San Juan, Puerto Rico
Publisher
International Communication Association (ICA)
Publisher place
Washington
Start page
1
End page
45
Pages
45
Event Title
65th Annual Conference of the International Communication Association (ICA) 2015
Event Location
San Juan, Puerto Rico
Event Date
21.-25.05.2015
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/106428
Subject(s)

information managemen...

Division(s)

MCM -Institute for Me...

Eprints ID
246494
Support
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