An agent-based simulation of in-store customer experiences

Siebers, Peer-Olaf; Aickelin, Uwe; Celia, Helen; Clegg, Chris

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.

Citation

Siebers, P.-O., Aickelin, U., Celia, H., & Clegg, C. An agent-based simulation of in-store customer experiences. Presented at Operational Research Society 4th Simulation Workshop, Worcestershire, UK

• Conference Name: Operational Research Society 4th Simulation Workshop, Worcestershire, UK
• Publication Date: Jan 1, 2008
• Deposit Date: Jan 28, 2009
• Publicly Available Date: Jan 30, 2009
• Peer Reviewed: Peer Reviewed
• Public URL: https://nottingham-repository.worktribe.com/output/1016170
• Publisher URL: http://www.orsoc.org.uk/orshop/(b3yrqk55en5un0vxdpbnbr55)/orcontent.aspx?inc=simulation2008_main.htm