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The thermally extended Tellinen model (Kühn et al., to appear) is here investigated and equipped with a hysteresis loss model, while preserving its simple structure.

As in the original model, these approaches are based upon phenomenal observations and measured saturation curves. The authors start with the original model and step-by-step add their extensions, such that in the end they can apply the extended model in a finite element method (FEM) simulation. During the process, care is taken to ensure that the applicability in a FEM simulation is not impaired, in terms of memory requirements and computing power.

In comparison to the original model, this extended model needs some further requirements and so is a little bit more limited in its application. It is in itself coherent and well defined. The authors provide an on-the-fly algorithm computation of hysteresis losses. First numerical results for a coupled field/thermal system show expected behavior.

The original model (Tellinen, 1998) does not take temperature into account. It includes a model for calculating hysteresis losses, but it differs largely from the approach presented here. The thermal extension is now also equipped with an on-the-fly method for hysteresis losses. Furthermore, the authors provide some analysis of simple, stable loops.

The purpose of this paper is to develop a fast and accurate analytic model function for the single-valued H-B curve of ferromagnetic materials, where hysteresis can be disregarded (normal magnetization curve). Nonlinear magnetoquasistatic simulations demand smooth monotone material models to ensure physical correctness and good convergence in Newton's method.

The Brauer model has these beneficial properties, but is not sufficiently accurate for low and high fields in the normal magnetization curve. The paper extends the Brauer model to better fit material behavior in the Rayleigh region (low fields) and in full saturation. Procedures for obtaining optimal parameters from given measurement points are proposed and tested for two technical materials. The approach is compared with cubic spline and monotonicity preserving spline interpolation with respect to error and computational effort.

The extended Brauer model is more accurate and even maintains the computational advantages of the classical Brauer model. The methods for obtaining optimal parameters yield good results if the measurement points have a distinctive Rayleigh region.

The model function for ferromagnetic materials enhances the precision of the classical Brauer model without notable additional simulation cost.

The space discretization of eddy‐current problems in the magnetic vector potential formulation leads to a system of differential‐algebraic equations. They are typically time discretized by an implicit method. This requires the solution of large linear systems in the Newton iterations. The authors seek to speed up this procedure. In most relevant applications, several materials are non‐conducting and behave linearly, e.g. air and insulation materials. The corresponding matrix system parts remain constant but are repeatedly solved during Newton iterations and time‐stepping routines. The paper aims to exploit invariant matrix parts to accelerate the system solution.

Following the principle “reduce, reuse, recycle”, the paper proposes a Schur complement method to precompute a factorization of the linear parts. In 3D models this decomposition requires a regularization in non‐conductive regions. Therefore, the grad‐div regularization is revisited and tailored such that it takes anisotropies into account.

The reduced problem exhibits a decreased effective condition number. Thus, fewer preconditioned conjugate gradient iterations are necessary. Numerical examples show a decrease of the overall simulation time, if the step size is small enough. 3D simulations with large time step sizes might not benefit from this approach, because the better condition does not compensate for the computational costs of the direct solvers used for the Schur complement. The combination of the Schur approach with other more sophisticated preconditioners or multigrid solvers is subject to current research.

The Schur complement method is adapted for the eddy‐current problem. Therefore, a new partitioning approach into linear/non‐linear and static/dynamic domains is proposed. Furthermore, a new variant of the grad‐div gauging is introduced that allows for anisotropies and enables the Schur complement method in 3D.

Who works, how much one works, and what one earns are the cornerstones of labor economics. However, determining the answers to these questions can be tricky because many factors are involved in estimating labor supply, explaining the implications of labor demand, and determining the resulting earnings. This volume contains 13 chapters on these components of the labor market. Five deal directly with labor supply; four deal with labor demand, most notably the effect of cyclical demand fluctuations; and the remaining four deal with compensation, particularly wages, wage distributions, and fringe benefits.

Understanding how worker well-being is distributed across the population is of paramount importance. With such knowledge policy makers can devise efficient strategies to improve social welfare. This volume contains 13 chapters on topics enhancing our comprehension of inequality across workers. The issues addressed deal directly with the economic institutions that affect individual and family earnings distributions. The themes explored include job training, worker and firm mobility, minimum wages, wage arrears, unions, collective bargaining, unemployment insurance, and schooling. Among the questions answered are: To what extent do greater work hours of women mitigate the widening family earnings distribution? To what extent does deunionization widen the distribution of earnings? Do computers really cause a widening of the earnings distribution? How would the Russian wage distribution change if one accounted for wage arrears? How much of job creation and job destruction comes about because of business relocation? To what extent does maternal education increase children's education? Why do increases in the minimum wage fail to substantially decrease employment as economic theory would predict? And, to what extent do job skills matter for low-income workers?

The present article aims at rising stream of literature about intellectual capital in healthcare organizations, by exploring how knowledge-based activities are designed to promote innovation and create value. This process concerns not only buyers and sellers of industrial products/services but, more widely, larger networks of healthcare actors which include patients, payers and health institutions.

To answer the research question, we adopted a conceptual approach aimed at reaching overall comprehension of healthcare innovation mechanisms. We have tracked the pivotal extant studies for catching the roots and dynamics at the base of diffusion of healthcare innovation. This article demonstrates, based on previous literature and theoretical speculations, the contribution that innovative knowledge-based activities (e.g. market access approach) make to intellectual capital in healthcare organizations to promote innovation and create value.

The results show that three knowledge-based activities of the healthcare ecosystem shape the basis of the proposed conceptual framework. First, a value co-creation strategy to develop capabilities for each health stakeholder is intended as human capital. Second, the market access approach to promote innovation is reported to the relational capital. Third, a digital servitization strategy is referred to the structural capital.

This paper provides implications for the stream of literature about intellectual capital in healthcare organizations. It aims at exploring three knowledge-based activities as value co-creation, market access and digital servitization that respond to different intellectual capital levels components (human, relational, structural).

This article provides a conceptual framework based on the linkage of two fundamental streams of management studies, which correspond to innovation diffusion and intellectual capital management. This offers a more solid conceptualization for managing intellectual capital in healthcare organizations with respect to previous studies and creates value in the ecosystem.

The purpose of this paper is to determine if the institutional quality of developing countries (DCs) and least-developed countries (LDCs) contributes to a significant increase in the utilization rate of the Swiss generalized system of preferences in the agro-food sector.

The authors use state of the art regression techniques accounting for zero values to identify if the institutional quality – separately depicted by the Worldwide Governance Indicators, the Index of Economic Freedom and the Human Development Index – can contribute in overcoming non-tariff barriers (NTBs) to trade.

The institutional quality exerts a consistent positive effect on the level of utilization of trade preferences.

Swiss food trade represents, of course, only a very small share of world trade, therefore it would be worthwhile to extend the analysis to other countries and sectors.

Industrialized countries’ development policies should more strongly focus on capacity building in DCs and LDCs to strengthen trade-related institutions.

The study focuses on an often underemphasized element in international trade relations – the role of the institutional quality in overcoming NTBs to trade.

Performance management can play an important role in the implementation of strategic change, by aligning employees’ mindsets and behavior with organizational goals. However, the ways in which employees react to change efforts aided by performance management practices are far from straight-forward. In this chapter, we develop a conceptual framework for understanding employees’ reactions to strategic change as a consequence of their occupational identities and their performance management outcome. We further apply the framework to an empirical study of a strategic change initiative in a school organization that was supported by a new performance management practice. We show how variations in perceived identity threat translate into four distinct patterns of emotional and behavioral reactions, where only one represents whole-hearted change acceptance. The study contributes to our understanding of individual- and group-level heterogeneity in reactions to strategic change, and also to a more nuanced conception of identity threat.

The purpose of this paper is to investigate consumers' reactions to a new kind of green food product that is the so-called lab-grown meat (LGM). This kind of meat does not derive from animal or vegetal cultures but is produced on the basis of “tissue-engineering” technologies, by injecting muscle tissue from an animal into a cell culture, allowing cells to “grow” outside the animal's body. By considering the similar nutritional characteristics of traditional types of meat, and the potential in terms of sustainability, the authors investigate the effect of the advertising, communication focus promoting LGM-based meat, on consumers' willingness to buy (WTB) and word-of-mouth (WOM), by shedding light on the moderator role of consumers' environmentalism and status consumption orientation tendency in influencing such relationship.

Through an exploratory research design, the authors conducted a study based on a two-cell experiment that manipulated the advertising communication focus by using a hamburger made of synthetic meat related to a fictitious brand called “Gnam”, to manipulate the advertising communication focus (sustainability vs. taste), then evaluating consumers' WTB, WOM, environmentalism and status consumption orientation.

Results show that the communication focus (sustainability vs. taste) exerts a positive effect on consumers' WTB and WOM, and how such effect is magnified both by consumers' environmentalism and status consumption orientation, in the attempt to show other a green status and their green consumption tendency.

Despite the promising results, the study does not consider other consumers' individual differences, i.e. as for the role of age, or cultural differences.

Practically, this study suggests marketers and managers how to design effective marketing campaigns to incentivise LGM-based food products purchase, and promote positive WOM, on the basis of certain consumers' individual differences useful to segment their clientele in terms of environmentalism, and status consumption orientation tendency.

Socially, this study may contribute to incentivising the use of alternative forms of meat as a food product not deriving from animal or vegetal culture, coherently with recent sustainability worldwide claimed goals.

This is the first paper to investigate consumers' reactions to LGM-based food products, by shedding light on the fundamental role of consumers' individual differences.

Purpose: One of the objectives of this research was to identify whether “mad”, “bad” and “sad” frames, identified in modern news reporting in other Western nations, are also evident in historical newspapers in New Zealand, a nation geographically distant. Methodology/approach: Qualitative content analysis was used to analyze reporting of multiple-child murders in New Zealand between 1870 and 1930. Content was sourced from a digitized newspaper database and identified media frames were analyzed under the categories of “mad”, “bad” and “sad”. Findings: Historical New Zealand media constructed “mad,” “bad,” and “sad” frames for the killers, however, instead of being classified with a single frame many killers were portrayed using a combination of two or even three. In some cases, media ignored facts which could have provided an alternative portrayal of the killers. In other cases, no obvious frames were employed. Research limitations: This research does not include analysis of media frame building in modern news reporting. Originality/value: Media construction of frames for multiple-child killers in historical New Zealand news reporting has not been explored before.