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Discusses medical and management tasks and their relation within the NHS context. Stresses the importance of doctors in effective management of the service in relation to leadership, policy and strategy making and in contributing to the wider debates on quality, efficiency, effectiveness and efficiency of outcome. Emphasizes the need for doctors to intervene in terms of setting medical priorities for the health authority and to contribute fully to this process.

The purpose of this paper is to introduce the special issue about entrepreneurial universities. The paper focuses on the reasons for their importance in global communities.

The literature about entrepreneurial universities is reviewed with a focus on the role of communities, people and places.

Entrepreneurial universities need to consider the people in society in terms of how they relate to learning, education and teaching about new ideas and business practices.

It is important in the increasingly connected global economy that universities be seen as the drivers of the entrepreneurial society, which helps place people at the centre of educational communities.

This paper has suggestions for educational managers and business people interested in connecting with entrepreneurial universities and their place in the society.

This value of this paper is that it includes the main ideas from the special issue in terms of how entrepreneurial universities are fostering a connected society that places people, places and communities at the forefront of the change.

Researchers, policymakers and hospital managers often encounter numerous quality measures when assessing hospital quality. The purpose of this paper is to address the challenge of summarising, interpreting and comparing multiple quality measures across different quality dimensions by proposing a simple method of constructing a composite quality index. The method is applied to hospital administrative data to demonstrate its use in analysing hospital performance.

Logistic and fixed effects regression analyses are applied to secondary admitted patient data from all hospitals in the state of Victoria, Australia for the period 2000/2001–2011/2012.

The derived composite quality index was used to rank hospital performance and to assess changes in state-wide average hospital quality over time. Further regression analyses found private hospitals, day hospitals and non-acute hospitals were associated with higher composite quality, while small hospitals were associated with lower quality.

The method will enable policymakers and hospital managers to better monitor the performance of hospitals. It allows quality to be related to other attributes of hospitals such as size and volume, and enables policymakers and managers to focus on hospitals with relevant characteristics such that quantity and quality changes can be better understood, monitored and acted upon.

A simple method of constructing a composite quality is an indispensable practical tool in tracking the quality of hospitals when numerous measures are used to capture different aspects of quality. The derived composite quality can be used to summarise hospital performance and to identify factors associated with quality via regression analyses.

The purpose of this paper is to review literature about the applications of artificial intelligence (AI) in strategic situations and identify the research that is needed in the area of applying AI to strategic marketing decisions.

The approach was to carry out a literature review and to consult with marketing experts who were invited to contribute to the paper.

There is little research into applying AI to strategic marketing decision-making. This research is needed, as the frontier of AI application to decision-making is moving in many management areas from operational to strategic. Given the competitive nature of such decisions and the insights from applying AI to defence and similar areas, it is time to focus on applying AI to strategic marketing decisions.

The application of AI to strategic marketing decision-making is known to be taking place, but as it is commercially sensitive, data is not available to the authors.

There are strong implications for all businesses, particularly large businesses in competitive industries, where failure to deploy AI in the face of competition from firms, who have deployed AI to improve their decision-making could be dangerous.

The public sector is a very important marketing decision maker. Although in most cases it does not operate competitively, it must make decisions about making different services available to different citizens and identify the risks of not providing services to certain citizens; so, this paper is relevant to the public sector.

To the best of the authors’ knowledge, this is one of the first papers to probe deployment of AI in strategic marketing decision-making.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.