Using Intelligent Agents to Understand Management Practices and Retail Productivity

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...

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Main Authors: Siebers, Peer-Olaf, Aickelin, Uwe, Celia, Helen, Clegg, Christopher
Format: Conference or Workshop Item
Published: 2007
Online Access:https://eprints.nottingham.ac.uk/588/
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author Siebers, Peer-Olaf
Aickelin, Uwe
Celia, Helen
Clegg, Christopher
author_facet Siebers, Peer-Olaf
Aickelin, Uwe
Celia, Helen
Clegg, Christopher
author_sort Siebers, Peer-Olaf
building Nottingham Research Data Repository
collection Online Access
description 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. The project is still at an early stage. So far we have conducted a case study in a UK department store to collect data and capture impressions about operations and actors within departments. Furthermore, based on our case study we have built and tested our first version of a retail branch simulator which we will present in this paper.
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format Conference or Workshop Item
id nottingham-588
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T18:12:37Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling nottingham-5882020-05-04T20:29:11Z https://eprints.nottingham.ac.uk/588/ Using Intelligent Agents to Understand Management Practices and Retail Productivity Siebers, Peer-Olaf Aickelin, Uwe Celia, Helen Clegg, Christopher 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. The project is still at an early stage. So far we have conducted a case study in a UK department store to collect data and capture impressions about operations and actors within departments. Furthermore, based on our case study we have built and tested our first version of a retail branch simulator which we will present in this paper. 2007 Conference or Workshop Item PeerReviewed Siebers, Peer-Olaf, Aickelin, Uwe, Celia, Helen and Clegg, Christopher (2007) Using Intelligent Agents to Understand Management Practices and Retail Productivity. In: Proceedings of the Winter Simulation Conference (WSC 2007), Washington, USA.
spellingShingle Siebers, Peer-Olaf
Aickelin, Uwe
Celia, Helen
Clegg, Christopher
Using Intelligent Agents to Understand Management Practices and Retail Productivity
title Using Intelligent Agents to Understand Management Practices and Retail Productivity
title_full Using Intelligent Agents to Understand Management Practices and Retail Productivity
title_fullStr Using Intelligent Agents to Understand Management Practices and Retail Productivity
title_full_unstemmed Using Intelligent Agents to Understand Management Practices and Retail Productivity
title_short Using Intelligent Agents to Understand Management Practices and Retail Productivity
title_sort using intelligent agents to understand management practices and retail productivity
url https://eprints.nottingham.ac.uk/588/