• DocumentCode
    613625
  • Title

    On the capability of human networks

  • Author

    Hosseini, Elham ; Mousavi, Amin

  • Author_Institution
    Sch. of Eng. & Design, Brunel Univ., Uxbridge, UK
  • fYear
    2013
  • fDate
    15-18 April 2013
  • Firstpage
    200
  • Lastpage
    203
  • Abstract
    The aim of this paper is to propose an analytical model for predicting the collective capability of a group of individuals that are assigned to a job. This collective applied capability in future can be used as a predictor of performance or success of teams that have been given an assignment. In this context capability is defined as the application of a set of inherent and acquired resources and the level of their utilization to complete a job. These resources are classified into three categories Enablers, Preferences and past Attainments. The collective capability is therefore inferred from the interrelationship between the members with respect to their Diversity, Homophily, and their past Experiences/Attainments working in teams. By reviewing the relevant literature a basic definition for capability is provided. Also to introduce a method for measuring collective capability, the existing literature on analysis of social networks and methods of interpreting and modeling the dynamics of human networks are briefly discussed. Such a modeling tool enables managers and decision makers to measure and compare different group formations with respect to their capability and use this capability index as a predictor of future performance. Companies and project managers will be able to implement special team building policies and strategies to maximize their capabilities to ensure better outcomes.
  • Keywords
    social sciences; team working; analytical model; collective capability; context capability; enabler category; human network capability; past attainment category; preference category; social network; team building policy; team performance; Cultural differences; Educational institutions; Employment; Indexes; Organizations; Personnel; Capability Modelling; Human Networks; Management; Managing Project; Project; System; Systems Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Conference (SysCon), 2013 IEEE International
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4673-3107-4
  • Type

    conf

  • DOI
    10.1109/SysCon.2013.6549882
  • Filename
    6549882