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This conceptual chapter aims to understand the role of artificial intelligence (AI) in value co-creation phenomena in a healthcare service ecosystem, through a literature review and the definition of a conceptual framework. AI, as an operant resource, can stimulate a completely patient-centered, adaptive and resilient healthcare system, and governance models in healthcare based on data-driven decision-making (DDDM), ensuring faster choices, more timely diagnosis and more personalized treatment paths. However, the full implementation of AI in healthcare is inhibited by some frictions, mainly related to the risk that the AI black box may generate an inadequate automatic decision, also due to the quality of data used, often partial and unstructured given the reluctance to share them by patients concerned by privacy threats. The co-design (multi-part and multi-level) of a predictive decision model based on the functional transparency of the AI algorithm would allow for augmented decision as result of an effective human–machine interaction. Healthcare actors could thus make decisions using the information detected by the software (based on clear cause-and-effect correlations and modifiable variables in case of mistakes), integrated with their professional knowledge. This would also help to strengthen the patient’s perception of the decision’s reliability and accuracy and the safety of the tool (factors that can affect his/her trust). AI may be considered as a driver for value co-creation in healthcare, thanks to transparency. It would allow the promotion of collaborative behaviors involving actors by generating new institutions and new resource integration practices among them.

It is well documented that the health of people with learning disabilities is worse in many ways than that of the rest of the population, and their lives are shorter. The article reports on the results of a wide and diverse research programme, including reviews of the relevant literature, consultation, area studies and an inquiry panel, designed to gather the most complete picture possible of these health inequalities and the aspects of health services that permit them. The areas covered are morbidity, access to services, diagnosis, health problems, health promotion, health checks and services for people from black and minority ethnic populations. Inequalities are found in all these areas, some arising from professional prejudice, some from inadequate responses to characteristics shown by learning‐disabled people and some from unidentified causes. The article concludes with a summary of the measures needed to rectify the situation.

MOTION AND TIME STUDY DESIGN AND MEASUREMENT OF WORK By Ralph M. Barnes. (John Wiley, £12.00) SINCE this classic work was first published, six editors and over forty years ago, the concept of time and motion study has considerably expanded. It remains, however, a powerful means for increasing productivity, though there may even have been some change in the meaning of this latter term; hence the inclusion of a new first chapter, “Productivity”, which defines the terms Labour productivity, Capital productivity and Materials productivity, and discusses the applicability of time and motion study to each.

For readers' advisory librarians, genre literature can prove to be difficult collection management areas. The literature itself has rarely been defined in anything but the negative (“not great literature,” “not of lasting quality”) and yet it makes up a good deal of the attraction for many patrons to the public library, and gives great circulation support to their collections. Percentage‐wise, it gets the least attention for the most benefits. Many budgets are based on circulation figures, and much of the commendable relationship with the public is based on readers who devour genre literature. Why is it that genre readers are given such short shrift for their loyalty and devotion? Some of the problem lies in the traditional view of genre literature and the rest in the new view of collection development.

Drawing on evidence of major Western governments’ concerns with the wider economic, social and environmental impact and performance of transnational firms, we argue that recent emphasis on deregulating industrial development, such as in the proposed Multilateral Agreement on Investment and ongoing discussions over a multilateral framework on investment, necessitates a fuller and regulated, rather than voluntaristic, corporate accountability, covering further details of the impact and performance of transnationals.

The purpose of this paper is to investigate the effects of human resource disclosure on corporate image.

The information about human resources presented in their annual reports by 105 Spanish listed companies was grouped in three categories, previously defined in literature. We distinguish information about human capital (items usually included as human capital in Intellectual Capital reports), social information about employees and information about ethics questions relative to employees. A content analysis of these 105 annual reports was conducted to measure human resource disclosure and a regression analysis was carried out to study the impact of this information on company image.

The findings reflect the significant effect of the three categories of human resource disclosure on corporate image.

This study might encourage firms to improve their disclosure policy on issues related to human capital, such as training, and on social and ethical aspects of employees, such as health and safety at work and working rights.

This paper contributes to research on human resources by confirming the impact not only of information about human capital, which is mainly oriented to shareholders, but of social and ethical information about employees, oriented as well as to stakeholders, on corporate reputation.