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
Link To Document :
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