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A multi-agent simulation of retail management practices
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Summer Computer Simulation Conference archive
Proceedings of the 2007 summer computer simulation conference table of contents
San Diego, California
SESSION: Agent-directed simulation: applications table of contents
Pages: 959-966  
Year of Publication: 2007
ISBN:1-56555-316-0
Authors
Peer-Olaf Siebers  University of Nottingham, Nottingham, UK
Uwe Aickelin  University of Nottingham, Nottingham, UK
Helen Celia  University of Leeds, Leeds, UK
Chris Clegg  University of Leeds, Leeds, UK
Sponsor
SCS : Society for Modeling and Simulation International
Publisher
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 62,   Citation Count: 0
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Peer-Olaf Siebers: colleagues
Uwe Aickelin: colleagues
Helen Celia: colleagues
Chris Clegg: colleagues