An agent-based simulation of in-store customer experiences

Tools

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.

Full text not available from this repository.

Abstract

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.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/1016170
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 28 Jan 2009 19:23
Last Modified: 04 May 2020 20:27
URI: https://eprints.nottingham.ac.uk/id/eprint/993

Actions (Archive Staff Only)

Edit View Edit View