• DocumentCode
    589078
  • Title

    The Impact of Communication Structure and Interpersonal Dependencies on Distributed Teams

  • Author

    La Fond, T. ; Roberts, David ; Neville, Jennifer ; Tyler, J. ; Connaughton, S.

  • fYear
    2012
  • fDate
    3-5 Sept. 2012
  • Firstpage
    558
  • Lastpage
    565
  • Abstract
    In the past decade, we have witnessed an explosive growth of the Web, online communities, and social media. This has led to a substantial increase in the range and scope of electronic communication and distributed collaboration. In distributed teams, social communication is thought to be critical for creating and sustaining relationships, but there is often limited opportunity for team members to build interpersonal connections through face to face interactions. Although social science research has examined some relational aspects of distributed teams, this work has only recently begun to explore the potentially complex relationship between communication, interpersonal relationship formation, and the effectiveness of distributed teams. In this work, we analyze data from an experimental study comparing distributed and co-located teams of undergraduates working to solve logic problems. We use a combined set of tools, including statistical analysis, social network analysis, and machine learning, to analyze the influence of interpersonal communication on the effectiveness of distributed and co-located teams. Our results indicate there are significant differences in participants´ self- and group perceptions with respect to: (i) distributed vs. co-located settings, and (ii) communication structures within the team.
  • Keywords
    groupware; learning (artificial intelligence); social networking (online); statistical analysis; Web; colocated teams; data analysis; distributed collaboration; distributed team relational aspects; electronic communication structure; face-to-face interactions; interpersonal connections; interpersonal dependencies; logic problems; machine learning; online communities; participant group-perceptions; participant self-perceptions; social communication; social media; social network analysis; social science research; statistical analysis; undergraduates; Analysis of variance; Conferences; Educational institutions; Face; Predictive models; Productivity; Social network services; Cooperative Teams; Data Mining; Machine Learning; Social Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Privacy, Security, Risk and Trust (PASSAT), 2012 International Conference on and 2012 International Confernece on Social Computing (SocialCom)
  • Conference_Location
    Amsterdam
  • Print_ISBN
    978-1-4673-5638-1
  • Type

    conf

  • DOI
    10.1109/SocialCom-PASSAT.2012.117
  • Filename
    6406308