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The purpose of this paper is to critique the last decade of research on the effects of high-skill emigration from developing countries, and proposes six new directions for fruitful research.

The study singles out a core assumption underlying much of the recent literature, calling it the “Lump of Learning model” of human capital and development, and describes five ways that research has come to challenge that assumption. It assesses the usefulness of that model in the face of accumulating evidence.

The axioms of the Lump of Learning model have shaped research priorities in this literature, but many of those axioms do not have a clear empirical basis. Future research proceeding from established facts would set different priorities, and would devote more attention to measuring the effects of migration on skilled migrant households, rigorously estimating human capital externalities, gathering microdata beyond censuses, and carefully considering optimal policy – among others.

The recent literature has pursued a series of extensions to the Lump of Learning model. This study urges instead discarding that model, pointing toward a new paradigm for research on skilled migration and development.

The purpose of this paper is to examine the historical origins of the international goal for rich countries to devote 0.7 per cent of gross national income (GNI) to aid, in order to assess its present relevance.

The paper reviews all the original documents, interviews decision makers of that era, and uses their same essential method to estimate a new goal with today's data.

First, the target was calculated using a model which, applied to today's data, yields ludicrous results. Second, no government ever agreed in a UN forum to actually reach 0.7 per cent – though many pledged to move toward it. Third, ODA/GNI per se does not constitute a meaningful metric for the adequacy of aid flows.

Any further work on aid targets must be based on a country‐by‐country assessment of realistic funding opportunities.

The 0.7 per cent goal has no modern academic basis, has failed as a lobbying tool, and should be abandoned.

Anyone who studies or works on the ways that rich countries can assist the development process must confront the 0.7 per cent goal sooner or later. The paper shows for the first time that it arose from an economic model with no modern credibility, and that – contrary to conventional wisdom – none of the UN documents contains a promise to meet the goal.

The maximum entropy snapshot sampling (MESS) method aims to reduce the computational cost required for obtaining the reduced basis for the purpose of model reduction. Hence, it can significantly reduce the original system dimension whilst maintaining an adequate level of accuracy. The purpose of this paper is to show how these beneficial results are obtained.

The so-called MESS method is used for reducing two nonlinear circuit models. The MESS directly reduces the number of snapshots by recursively identifying and selecting the snapshots that strictly increase an estimate of the correlation entropy of the considered systems. Reduced bases are then obtained with the orthogonal-triangular decomposition.

Two case studies have been used for validating the reduction performance of the MESS. These numerical experiments verify the performance of the advocated approach, in terms of computational costs and accuracy, relative to gappy proper orthogonal decomposition.

The novel MESS has been successfully used for reducing two nonlinear circuits: in particular, a diode chain model and a thermal-electric coupled system. In both cases, the MESS removed unnecessary data, and hence, it reduced the snapshot matrix, before calling the QR basis generation routine. As a result, the QR-decomposition has been called on a reduced snapshot matrix, and the offline stage has been significantly scaled down, in terms of central processing unit time.

The purpose of this paper is to present the implementation of a balanced domain decomposition approach for the numerical simulation of large electro-quasistatic (EQS) systems in biology. The numerical scheme is analyzed and first applications are discussed.

The scheme is based on a finite element discretization of the individual domains obtained by decomposition and a physically consistent inter-domain coupling realized via Robin boundary conditions. The proposed algorithms can efficiently be implemented on a highly parallelized computing grid.

The feasibility and applicability of the method is proven. Further, a couple of technical details are found that increase the efficiency of the method.

The presented method offers an enhanced geometrical flexibility and extensibility to simulate larger cell systems with higher model resolution compared to other methods presented in the literature. The presented analysis provides an understanding of the balanced coupling scheme for large EQS systems.

In this chapter, the authors describe how instructors used decision-based learning (DBL) to teach master’s and doctoral students in qualitative research courses how to evaluate qualitative research articles and develop their own skills at communicating their own research design choices. The authors employed a unique approach to DBL by coupling it with a decision tree built on Ryan et al.’s (2007) qualitative evaluation framework and Arao and Clemens’ (2013) brave spaces model. The authors found that using the above approach helped students develop specific critiques of the articles they chose, which then aided them in developing their own research designs.

The study of shame has a long tradition in intra- and inter-personal psychology. This paper aims to investigate whether consumers can experience brand shame after self-relevant consumption incidents. Specifically, this research proposes that consumers follow a complex shame-inducing process in the aftermath of unpleasant experiences involving their favorite brand. The moderating role of relational tie strength between consumers and their favorite brand existing prior to symbolic failures is examined.

A scenario-based, online survey (n = 660) among consumers who have recently experienced a self-relevant failure with their favorite brand was conducted. Confirmatory factor analysis ensured the reliability and validity of the measurement model. For testing the conceptual model, data was analyzed by means of a moderated mediation analysis. The proposed model was tested against, among others, common method bias and alternative models. The findings were cross-validated with a scenario-based online experiment (n = 1,616).

Results show that brand shame is a key mediator between customer dissatisfaction and brand anger when self-relevant, symbolic failures happen. Moreover, strong consumer-brand identification triggers brand-detrimental effects. It is shown to influence the connection between consumers’ inward- (i.e. brand shame) and resulting outward-directed (i.e. brand anger) negative emotions on brands, which lead to consumer vengeance.

To the best of the authors’ knowledge, this research is the first to introduce the concept of situational brand shame to the literature on favorite brands. Furthermore, it shows that consumer-brand identification moderates the direct and indirect (via brand shame) unfavorable effects of failure-induced dissatisfaction on brand anger. This research adds insights to the investigation of the “love-becomes-hate” effect arising after self-relevant failures involving consumers’ most preferred brand.

In this paper, I applaud but also critique the project to integrate the literatures on stakeholders, non-market strategy, and social movements under the umbrella of business and society. My main concern is that some may perceive this integrative effort as hinging on a kind of applied economic imagery of actors and interests that valorizes instrumental, strategic action. Building on scholarship at the interface of social movements and organizations, I argue for the fruitfulness of a broader institutional approach to business and society.

Movies have mesmerized audiences for years, crossing boundaries of race, gender, age, culture, and nationality. They have also been used to teach people how to lead. One text that zeroes in on the essence of leadership is The Leadership Challenge, by Kouzes and Posner (2002). Through their research, they have highlighted five practices of effective leaders. It is our intent to share how we apply movies to teach the tenets of the groundbreaking leadership research of Kouzes and Posner, with proven ideas that work with students of leadership in any setting.

Using movies to teach leadership is a winning strategy; however, diligent planning is required to incorporate them successfully into leadership education. Movies are entertaining, informative, energizing, and educational, if used skillfully. The more facilitators use film, the more skilled they will become and the more the participants will benefit.

The correct simulation and visualisation of textiles comprises many research fields such as mathematics, physics, materials science, and computer graphics. It consists of modelling the physical behaviour of textiles based on real data of garment patterns which have to be placed around an avatar. Therefore efficient numerical algorithms have to be developed to solve the appearing differential equations. Finally the obtained results are displayed photorealistically). The aim of the national research project "Virtual Try-On" consists in providing a prototype of a virtual try-on scenario in a real shop or the internet realizing cost-efficient made-tomeasure wear. In this article we present the whole process chain from the choice of clothes up to the final visualisation and the individual evaluation of fit.