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Health outcomes are often described according to two dimensions: quality of life and quantity of life. We analyze the measurement of inequality of health distributions referring to these two dimensions. Our analysis relies on a novel treatment of the quality-of-life dimension, which might not have a standard mathematical structure. We single out two families of (absolute and relative) multidimensional health inequality indices, inspired by the classical normative approach to income inequality measurement. We also discuss how to extend the analysis to deal with the related problem of health deprivation measurement in this setting.

The study aims to explore how lean research and development (R&D) tools and techniques (T&T: i.e. R&D hard practices) affect the relationship between lean R&D soft practices and organization performance within R&D-based manufacturing firms in Malaysia.

The current study is a quantitative study that utilized an online survey questionnaire for data collection. Data were collected based on a cross-sectional survey of R&D managers from 102 R&D-based manufacturing firms in Malaysia. Structural equation modeling (SEM) was used to test the impact of lean R&D soft and hard practices on firms' performance.

As per the study findings, it was determined that T&T of lean R&D was significant mediator in the relationship between lean R&D soft practices (i.e. managerial practices, transformational leadership, financial capability and supplier involvement) and R&D firms' performance.

The study delivers an important message to R&D companies that lean practices could be applied in R&D environments to drive organization performance.

The study extends the knowledge regarding lean principles and framework beyond the domains of production and services. The study offers new conceptual contribution in term of lean principles and framework in R&D environments by introducing the role of lean R&D tools and technique to enhance the effects of lean R&D practices on organization performance.

This study examines the impact of inclusive leadership on two important work outcomes, i.e., employee performance and well-being. In order to better understand the above relationships, this study theorizes that employee psychological capital is a mediating mechanism and family motivation is a moderating mechanism.

The authors collected 370 responses in three different time waves with an interval of one week. All the constructs of the study were rated by employees except for the supervisor’s family motivation, which was rated by their supervisors. Given the predictive nature of the study, partial least squares structural equation modeling (PLS-SEM) was used for data analysis.

The authors' findings confirm the mediating role of employee psychological capital in the relationship between inclusive leadership and employee performance and in the relationship between inclusive leadership and employee well-being. The moderating effects of supervisor family motivation in the relationship between inclusive leadership and employee performance were also significant; however, the authors did not find empirical support for the moderating effects of family motivation in the relationship between inclusive leadership and employee well-being.

Drawing on the conservation of resources (COR) theory, the present study extends the authors' understanding of the unique ways in which inclusive leadership improves employee performance and benefits their well-being.

The advent of social media has led to the emergence of influencers and the domain of influencer marketing (IM). Despite being a popular and evolving research domain, it still lacks a comprehensive and systematic bibliometric analysis in the field. This study attempts to fill this critical gap by mapping the influence of IM to understand the intellectual structure and propose a future research agenda for scholars working in the domain.

The authors have used VOSviewer and Biblioshiny packages for conducting a variety of analyses such as citation analysis, bibliographic coupling, keyword analysis and three-field plot analysis.

The main findings include identifying six clusters in the domain, i.e. “mechanism of IM,” “measuring the impact of IM,” “persuasive cues in IM,” “likability factors of influencers,” “authenticity of influencers” and “understanding followers.” Future research guidelines have been proposed in each of the six clusters, followed by research and managerial implications, conclusion and limitations.

This study is probably the first attempt at providing a comprehensive bibliometric analysis in the domain using a combination of VOSviewer and Biblioshiny packages.

OUR new features of record and reminiscence appear to have been appreciated by our readers; and, as this number shows, we continue with increased pages and are endeavouring to extend our scope to meet every kind of library interest. There is an atmosphere, of change and, as some think, of crisis, in library matters, especially in those of the public library. The winter to which our minds turn in mid‐September is likely to be interesting and may bring decisions of various kinds. We hope to reflect them, and, as is our invariable custom, invite readers to use us to express their views as well as their experiences.

To assist in achieving cost effective health care allocations in a collective choice setting, the purpose of this paper is to illustrate the use of a tool not common in the public budgeting literature but is common in the health economics literature.

Through a meta-analysis of the health care spending literature that computed the value of quality-adjusted life years, the authors provide an alternative approach for budgeters and policymakers.

The authors provide an alternative approach for budgeters and policymakers for weighing the benefits of alternative health care spending allocations.

The authors introduce an alternative approach for weighing the benefits of alternative health care spending allocations. As a tool for budgeting professionals, cost per QALY allows for the opportunity to raise cost-effectiveness of public health expenditures as a tool for governments to allocate resources based on outcomes, rather than inputs.

Qalys (quality‐adjusted life years) are used to make judgements about resource allocation in medical care and other matters. Since this may involve the qalys of prospective individuals (who are not yet born but may be born under some relevant alternative and not in another), the use of qalys involves a fundamental philosophical problem related to optimal population, believed to be “insoluble”. This paper provides a solution to this problem that is based on the classical utilitarian position modified to account for the partiality of existing people towards their own welfare. However, a different difficulty with qalys is raised since the use of qalys may be Pareto inefficient in comparison to using willingness to pay. The objection to willingness to pay based on inequality is responded to.