A Multi-Agent Simulation of Retail Management Practices

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dc.creatorSiebers, Peer-Olaf
dc.creatorAickelin, Uwe
dc.creatorCelia, Helen
dc.creatorClegg, Christopher
dc.date2008-03-11
dc.date.accessioned2026-07-07T12:17:33Z
dc.date.available2026-07-07T12:17:33Z
dc.descriptionWe 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.
dc.identifierhttps://arxiv.org/abs/0803.1598
dc.identifierhttp://arxiv.org/abs/0803.1598
dc.identifierProceedings of the Summer Computer Simulation Conference (SCSC 2007), pp 959-966, San Diego, USA 2007
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212115
dc.subjectNeural and Evolutionary Computing
dc.titleA Multi-Agent Simulation of Retail Management Practices
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