A multi-agent simulation of retail management practices

Authors:
Peer-Olaf Siebers;Uwe Aickelin;Helen Celia;Chris Clegg
Affiliations:
University of Nottingham, Nottingham, UK;University of Nottingham, Nottingham, UK;University of Leeds, Leeds, UK;University of Leeds, Leeds, UK
Venue:
Proceedings of the 2007 Summer Computer Simulation Conference
Year:
2007

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Abstract

We apply Agent-Based Modeling and Simulation (ABMS) to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship between human resource management practices and retail productivity. Despite the fact we are working within a relatively novel and complex domain, it is clear that intelligent agents do offer potential for developing organizational capabilities in the future. Our multi-disciplinary research team has worked with a UK department store to collect data and capture perceptions about operations from actors within departments. Based on this case study work, we have built a simulator that we present in this paper. We then use the simulator to gather empirical evidence regarding two specific management practices: empowerment and employee development.