A first approach on modelling staff proactiveness in retail simulation models
There has been a noticeable shift in the relative composition of the industry in the developed countries in recent years; manufacturing is decreasing while the service sector is becoming more important. However, currently most simulation models for investigating service systems are still built in t...
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| Format: | Article |
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University of Surrey, Department of Sociology
2011
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| Online Access: | https://eprints.nottingham.ac.uk/1521/ |
| _version_ | 1848790622608031744 |
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| author | Siebers, Peer-Olaf Aickelin, Uwe |
| author_facet | Siebers, Peer-Olaf Aickelin, Uwe |
| author_sort | Siebers, Peer-Olaf |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | There has been a noticeable shift in the relative composition of the industry in the developed countries in recent years; manufacturing is decreasing while the service sector is becoming more important. However, currently most
simulation models for investigating service systems are still built in the same way as manufacturing simulation
models, using a process-oriented world view, i.e. they model the flow of passive entities through a system. These
kinds of models allow studying aspects of operational management but are not well suited for studying the dynamics that appear in service systems due to human behaviour. For these kinds of studies we require tools that
allow modelling the system and entities using an object-oriented world view, where intelligent objects serve as
abstract “actors” that are goal directed and can behave proactively.
In our work we combine process-oriented discrete event simulation modelling and object-oriented agent based
simulation modelling to investigate the impact of people management practices on retail productivity. In this paper,
we reveal in a series of experiments what impact considering proactivity can have on the output accuracy of
simulation models of human centric systems. The model and data we use for this investigation are based on a case study in a UK department store. We show that considering proactivity positively influences the validity of these kinds of models and therefore allows analysts to make better recommendations regarding strategies to apply people management practises. |
| first_indexed | 2025-11-14T18:15:33Z |
| format | Article |
| id | nottingham-1521 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:15:33Z |
| publishDate | 2011 |
| publisher | University of Surrey, Department of Sociology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-15212020-05-04T20:24:33Z https://eprints.nottingham.ac.uk/1521/ A first approach on modelling staff proactiveness in retail simulation models Siebers, Peer-Olaf Aickelin, Uwe There has been a noticeable shift in the relative composition of the industry in the developed countries in recent years; manufacturing is decreasing while the service sector is becoming more important. However, currently most simulation models for investigating service systems are still built in the same way as manufacturing simulation models, using a process-oriented world view, i.e. they model the flow of passive entities through a system. These kinds of models allow studying aspects of operational management but are not well suited for studying the dynamics that appear in service systems due to human behaviour. For these kinds of studies we require tools that allow modelling the system and entities using an object-oriented world view, where intelligent objects serve as abstract “actors” that are goal directed and can behave proactively. In our work we combine process-oriented discrete event simulation modelling and object-oriented agent based simulation modelling to investigate the impact of people management practices on retail productivity. In this paper, we reveal in a series of experiments what impact considering proactivity can have on the output accuracy of simulation models of human centric systems. The model and data we use for this investigation are based on a case study in a UK department store. We show that considering proactivity positively influences the validity of these kinds of models and therefore allows analysts to make better recommendations regarding strategies to apply people management practises. University of Surrey, Department of Sociology 2011 Article PeerReviewed Siebers, Peer-Olaf and Aickelin, Uwe (2011) A first approach on modelling staff proactiveness in retail simulation models. Journal of Artificial Societies and Social Simulation, 14 (2). pp. 1-25. ISSN 1460-7425 http://jasss.soc.surrey.ac.uk/14/2/2.html |
| spellingShingle | Siebers, Peer-Olaf Aickelin, Uwe A first approach on modelling staff proactiveness in retail simulation models |
| title | A first approach on modelling staff proactiveness in retail simulation models |
| title_full | A first approach on modelling staff proactiveness in retail simulation models |
| title_fullStr | A first approach on modelling staff proactiveness in retail simulation models |
| title_full_unstemmed | A first approach on modelling staff proactiveness in retail simulation models |
| title_short | A first approach on modelling staff proactiveness in retail simulation models |
| title_sort | first approach on modelling staff proactiveness in retail simulation models |
| url | https://eprints.nottingham.ac.uk/1521/ https://eprints.nottingham.ac.uk/1521/ |