Paper Info
Title
Understanding Retail Productivity by Simulating Management Practise
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 on our case study data we have built and tested a first version of a department store simulator. In this paper we will report on the current development of our simulator which includes new features concerning more realistic data on the pattern of footfall during the day and the week, a more differentiated view of customers, and the evolution of customers over time. This allows us to investigate more complex scenarios and to analyze the impact of various management practices.
Year
Venue
Keywords
2008
Clinical Orthopaedics and Related Research
agent-based modeling and simulation,shopping behavior,retail productivity,multi-disciplinary research. presenting author's biography,management practices,intelligent agent,production management
Field
DocType
Volume
Human resource management,Intelligent agent,Computer science,Modeling and simulation,Knowledge management,Management practices
Journal
abs/0803.1
ISSN
Citations 
PageRank 
Proceedings of the EUROSIM Congress on Modelling and Simulation (EUROSIM 2007), pp 1-12, Ljubljana, Slovenia 2007
2
0.45
References 
Authors
4
4
Name
Order
Citations
PageRank
Peer-Olaf Siebers118627.03
Uwe Aickelin21679153.63
Helen Celia3466.44
Christopher Clegg4102.24