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Siebers, Peer-Olaf, Aickelin, Uwe, Celia, Helen and Clegg, Chris W. (2010) Simulating customer experience and word-of-mouth in retail: a case study. Simulation, 86 (1). pp. 5-30. ISSN 0037-5497

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Abstract

Agents offer a new and exciting way of understanding the world of work. In this paper we describe the development of agent-based simulation models, designed to help to

understand the relationship between people management practices and retail performance. We report on the current development of our simulation models which includes new features concerning the evolution of customers over time. To test the features we have conducted a series of experiments dealing with customer pool sizes,

standard and noise reduction modes, and the spread of customers’ word of mouth. To validate and evaluate our model, we introduce new performance measure specific to

retail operations. We show that by varying different parameters in our model we can simulate a range of customer experiences leading to significant differences in

performance measures. Ultimately, we are interested in better understanding the impact of changes in staff behavior due to changes in store management practices.

Our multi-disciplinary 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 organizational capabilities in the future.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/1013192
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number:	https://doi.org/10.1177/0037549708101575
Depositing User:	Aickelin, Professor Uwe
Date Deposited:	27 Aug 2012 20:18
Last Modified:	04 May 2020 20:25
URI:	https://eprints.nottingham.ac.uk/id/eprint/1287

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