Using Intelligent Agents to Understand Management Practices and Retail Productivity

Intelligent agents offer a new and exciting way of understanding the world of work. In this paper we apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship between human resource management practices and retail productivity. Despite the fact we are working within a relatively novel and complex domain, it is clear that intelligent agents could offer potential for fostering sustainable organizational capabilities in the future. The project is still at an early stage. So far we have conducted a case study in a UK department store to collect data and capture impressions about operations and actors within departments. Furthermore, based on our case study we have built and tested our first version of a retail branch simulator which we will present in this paper.

Beyond Blame: cultural barriers to medical reporting

The paper explores the attitudes of medical physicians towards adverse incident reporting in health care, with particular focus on the inhibiting factors or barriers to participation. It is recognised that there are major barriers to medical reporting, such as the ‘culture of blame’. There are, however, few detailed qualitative accounts of medical culture as it relates to incident reporting. Drawing on a 2-year qualitative case study in the UK, this paper presents data gathered from 28 semi-structured interviews with specialist physicians. The findings suggest that blame certainly inhibits medical reporting, but other cultural issues were also significant. It was commonly accepted by doctors that errors are an ‘inevitable’ and potentially unmanageable feature of medical work and incident reporting was therefore ‘pointless’. It was also found that reporting was discouraged by an anti-bureaucratic sentiment and rejection of excessive administrative duties. Doctors were also apprehensive about the increased potential for managers and non-physicians to engage in the regulation of medical quality through the use of incident data. The paper argues that the promotion of incident reporting must engage with more than the ubiquitous ‘culture of blame’ and instead address the ‘culture of medicine’, especially as it relates to the collegial and professional control of quality.