Abstract
The effect of social network structure on team performance is difficult to investigate using standard field observational studies. This is because social network structure is an endogeneous variable, in that prior team performance can influence the values of structural measures such as centrality and connectedness. In this work we propose a novel simulation model based on agent-based modeling that allows social network structure to be treated as an exogeneous variable but still be allowed to evolve over time. The simulation model consists of experiments with multiple runs in each experiment. The social network amongst the agents is allowed to evolve between runs based on past performance. However, within each run, the social network is treated as an exogenous variable where it directly affects workflow performance. The simulation model we describe has several inputs and parameters that increase its validity, including a realistic workflow management depiction and real-world cognitive strategies by the agents.
Highlights
A social network is a structure whose nodes represent members in a social context and whose edges can represent interaction, collaboration or influence between the members [1]
We model the organizational tasks in a similar way, and our simulation model aims to extend current work in the area by using Agent Based Modeling Systems (ABMS) based experiments to study the effects of differing network structures on task performance
Is it possible to create semantically rich agent based simulations of organizational task execution where simple behaviors lead to emergent patterns? Our approach differs from other studies in the social science area in that we model agent behaviors representing the area of organizational task completion drawing from both the workflow modeling literature and management literature
Summary
A social network is a structure whose nodes represent members in a social context and whose edges can represent interaction, collaboration or influence between the members [1]. [16] pointed out how management efforts to inform and motivate employees can affect strategically aligned behavior that can lead to better task performance. There is a broad recognition in the management literature that organizational tasks are performed in a social context [13]. Such efforts can be facilitated using social networks that allow diffusion of information amongst employees and teams.
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