The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Object-Oriented Discrete-Event Simulation with Java: A Practical Introduction
Object-Oriented Discrete-Event Simulation with Java: A Practical Introduction
Simulation: The Practice of Model Development and Use
Simulation: The Practice of Model Development and Use
Simulation for the Social Scientist
Simulation for the Social Scientist
Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation
Agent-based modeling and simulation: desktop ABMS
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Using intelligent agents to understand management practices and retail productivity
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
A multi-agent simulation of retail management practices
Proceedings of the 2007 Summer Computer Simulation Conference
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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芒聙聶 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.