An agent-based simulation of in-store customer experiences
Agent-based modelling and simulation offers a new and exciting way of understanding the world of work. In this paper we describe the development of an agent-based simulation model, designed to help to understand the relationship between human resource management practices and retail productivity. W...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
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Operational Research Society
2008
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| Online Access: | https://eprints.nottingham.ac.uk/993/ |
| _version_ | 1848790522183811072 |
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| author | Siebers, Peer-Olaf Aickelin, Uwe Celia, Helen Clegg, Chris |
| author_facet | Siebers, Peer-Olaf Aickelin, Uwe Celia, Helen Clegg, Chris |
| author_sort | Siebers, Peer-Olaf |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Agent-based modelling and simulation offers a new and exciting way of understanding the world of work. In this paper we describe the development of an agent-based simulation model, designed to help to understand the relationship between human resource management practices
and retail productivity. We report on the current development of our simulation model which includes new features concerning the evolution of customers over time. To test some of these features we have conducted a series of experiments dealing with customer pool sizes, standard and noise reduction modes, and the spread of the word of mouth. Our multidisciplinary research team draws upon expertise from work psychologists and computer scientists. Despite the fact we are working within a relatively novel and complex domain, it is clear that intelligent agents offer potential for fostering sustainable organisational capabilities in the future. |
| first_indexed | 2025-11-14T18:13:57Z |
| format | Conference or Workshop Item |
| id | nottingham-993 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:13:57Z |
| publishDate | 2008 |
| publisher | Operational Research Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-9932020-05-04T20:27:55Z https://eprints.nottingham.ac.uk/993/ An agent-based simulation of in-store customer experiences Siebers, Peer-Olaf Aickelin, Uwe Celia, Helen Clegg, Chris Agent-based modelling and simulation offers a new and exciting way of understanding the world of work. In this paper we describe the development of an agent-based simulation model, designed to help to understand the relationship between human resource management practices and retail productivity. We report on the current development of our simulation model which includes new features concerning the evolution of customers over time. To test some of these features we have conducted a series of experiments dealing with customer pool sizes, standard and noise reduction modes, and the spread of the word of mouth. Our multidisciplinary research team draws upon expertise from work psychologists and computer scientists. Despite the fact we are working within a relatively novel and complex domain, it is clear that intelligent agents offer potential for fostering sustainable organisational capabilities in the future. Operational Research Society 2008 Conference or Workshop Item PeerReviewed Siebers, Peer-Olaf, Aickelin, Uwe, Celia, Helen and Clegg, Chris (2008) An agent-based simulation of in-store customer experiences. In: Operational Research Society 4th Simulation Workshop, Worcestershire, UK, Worcestershire, UK. http://www.orsoc.org.uk/orshop/(b3yrqk55en5un0vxdpbnbr55)/orcontent.aspx?inc=simulation2008_main.htm |
| spellingShingle | Siebers, Peer-Olaf Aickelin, Uwe Celia, Helen Clegg, Chris An agent-based simulation of in-store customer experiences |
| title | An agent-based simulation of in-store customer experiences |
| title_full | An agent-based simulation of in-store customer experiences |
| title_fullStr | An agent-based simulation of in-store customer experiences |
| title_full_unstemmed | An agent-based simulation of in-store customer experiences |
| title_short | An agent-based simulation of in-store customer experiences |
| title_sort | agent-based simulation of in-store customer experiences |
| url | https://eprints.nottingham.ac.uk/993/ https://eprints.nottingham.ac.uk/993/ |