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UNDERSTANDING RETAIL PRODUCTIVITY BY SIMULATING MANAGEMENT PRACTICES
 

Summary: UNDERSTANDING RETAIL PRODUCTIVITY BY SIMULATING
MANAGEMENT PRACTICES
Peer-Olaf Siebers1
, Uwe Aickelin1
, Helen Celia2
, Chris W. Clegg2
1
University of Nottingham, School of Computer Science & IT (ASAP)
Nottingham, NG8 1BB, UK
2
University of Leeds, Centre for Organisational Strategy, Learning & Change, LUBS
Leeds, LS2 9JT, UK
pos@cs.nott.ac.uk (Peer-Olaf Siebers)
Abstract
Intelligent agents offer a new and exciting way of understanding the world of work. In this paper we apply
agent-based modeling and simulation 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
could offer potential for fostering sustainable organizational capabilities in the future. Our research so far has led
us to conduct case study work with a top ten UK retailer, collecting data in four departments in two stores. Based

  

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

 

Collections: Computer Technologies and Information Sciences