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8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

The Role of Leadership and its Effect on the Temporal Patterns of Global Software Development Teams

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  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2012.250391,
        author={Kathleen Swigger and Ian Brooks},
        title={The Role of Leadership and its Effect on the Temporal Patterns of Global Software Development Teams},
        proceedings={8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2012},
        month={12},
        keywords={leadership virtual team distributed learning computer-mediated communication temporal analysis},
        doi={10.4108/icst.collaboratecom.2012.250391}
    }
    
  • Kathleen Swigger
    Ian Brooks
    Year: 2012
    The Role of Leadership and its Effect on the Temporal Patterns of Global Software Development Teams
    COLLABORATECOM
    ICST
    DOI: 10.4108/icst.collaboratecom.2012.250391
Kathleen Swigger,*, Ian Brooks1
  • 1: University of North Texas
*Contact email: kathy@cs.unt.edu

Abstract

Drawing on previous work, the authors explore the role of leaders and their effect on the temporal communication patterns of global software student project teams. Archived group interactions captured during the course of two virtual team projects involving students in the US, Panama, and Turkey were analyzed using a content analysis scheme derived from a collaboration theory that captures communication behavior associated with teams in virtual environments. Results from these analyses suggest that although teams with leaders have many more communications throughout a project, they have similar temporal patterns as compared to teams without leaders. However, the proportion of the different communication behaviors varies considerably between leader and leaderless teams as well as between leaders and their “followers.” More specifically, analysis demonstrated how variation in temporal patterns for leaders and their followers were different from those team members with no leader, thereby bolstering the argument for developing and testing temporal measures in group research.

Keywords
leadership virtual team distributed learning computer-mediated communication temporal analysis
Published
2012-12-14
Publisher
IEEE
http://dx.doi.org/10.4108/icst.collaboratecom.2012.250391
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