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A Multi-Agent Simulation of Retail Management Practices Peer-Olaf Siebers, Uwe Aickelin

Summary: A Multi-Agent Simulation of Retail Management Practices
Peer-Olaf Siebers, Uwe Aickelin
Automated Scheduling, Optimisation and Planning
Research Group, School of Computer Science & IT,
University of Nottingham, Nottingham, NG8 1BB, UK
pos@cs.nott.ac.uk, uxa@cs.nott.ac.uk
Helen Celia, Chris Clegg
Centre for Organisational Strategy, Learning & Change,
Leeds University Business School, University of Leeds,
Leeds, LS2 9JT, UK
h.celia@leeds.ac.uk, c.w.clegg@leeds.ac.uk
Keywords: agent-based modeling and simulation, retail productivity, management practices, shopping behavior
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.


Source: Aickelin, Uwe - School of Computer Science, University of Nottingham


Collections: Computer Technologies and Information Sciences