An agent-based simulation of in-store customer experiences

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.

Simulating customer experience and word-of-mouth in retail: a case study

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.

In the kingdom of the blind: successfully implementing institutional repositories in the UK and the SHERPA Partnership experience

This paper takes an overview of the work of SHERPA team and the SHERPA Partnership institutions in the area of developing, populating and maintaining institutional open access repositories. Crucial to this work has been the development of mutually supporting and enabling Partnership community, something which has been now recognised as needed by institutions who lie outside of it. To this end SHERPA is involved in efforts to support the individuals and institutions across the UK and Europe whom are engaging with the open access agenda on a practical level; through setting up community networks and disseminating experience. Key in the experience of the Partnership has been the role of advocacy of open access and repositories to the institutional research community. Whilst this experience has been unique to each institution, there are many shared lessons and best practice that the Partnership has recently reflected on, and that are articulated within this paper. Finally brief coverage on some of the vital community tools developed and maintained by SHERPA, and reflections on the evolving direction of open access in the UK are made.