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This article studies a court case heard by the European Court of Justice in 2008 concerning employment discrimination faced by the mother of a disabled child. This case illustrates the search for a fair balance between informal care work and employment in a market economy is a fresh perspective. The very terms of social justice must be recast for the implementation of a more caring society wherein informal caregivers must be recognized as very often constituting a socially disadvantaged group. The development of a caring society requires a more comprehensive examination of power relations between informal caregivers and care recipients or resulting from care activities. Most analyses of care activities reveal a social reality involving structurally unequal agents. Among these are informal caregivers who face situations of inequality, which will not be overcome as long as care continues to be seen through the category of dependency, unilaterally assigned to those on the receiving end of care.

Wall-modeled large eddy simulation (LES) is a practical tool for solving wall-bounded flows with less computational cost by avoiding the explicit resolution of the near-wall region. However, its use is limited in flows that have high non-equilibrium effects like separation or transition. This study aims to present a novel methodology of using high-fidelity data and machine learning (ML) techniques to capture these non-equilibrium effects.

A precursor to this methodology has already been tested in Radhakrishnan et al. (2021) for equilibrium flows using LES of channel flow data. In the current methodology, the high-fidelity data chosen for training includes direct numerical simulation of a double diffuser that has strong non-equilibrium flow regions, and LES of a channel flow. The ultimate purpose of the model is to distinguish between equilibrium and non-equilibrium regions, and to provide the appropriate wall shear stress. The ML system used for this study is gradient-boosted regression trees.

The authors show that the model can be trained to make accurate predictions for both equilibrium and non-equilibrium boundary layers. In example, the authors find that the model is very effective for corner flows and flows that involve relaminarization, while performing rather ineffectively at recirculation regions.

Data from relaminarization regions help the model to better understand such phenomenon and to provide an appropriate boundary condition based on that. This motivates the authors to continue the research in this direction by adding more non-equilibrium phenomena to the training data to capture recirculation as well.

This chapter examines the explosion in International Humanitarian Law between the US Civil War and World War I. The primary foci are the Hague Conventions on land warfare and the Geneva Conventions for the sick and wounded. This body of treaties is the foundation of IHL and the modern laws of war. Most of central issues in the international laws of war emerge in this period.

The purpose of this paper is to explore practices of Territorial-HRM within a network of shoemakers characterized by informal activities.

Territorial-HRM is a relatively new topic in management sciences, hence a qualitative methodology has been conducted for better exploration. The methodology relies on the development of two series of semi-structured interviews conducted with several members of the network. Data were collected and analyzed based on the thematic analysis method.

Results show a type of Territorial-HRM that stands out from that of the formal territorial networks largely described in the literature in management sciences. This form of Territorial-HRM is characterized by the following specific practices: Territorial Based Recruitment (TBR), External Mobility, Labor Loan, Inter-Boss Training and Collective Learning.

This study relies on a single research method with a relatively small number of interviews within an informal network in the Senegalese context. The authors recommend replicating the study in other contexts and developing representative samples in order to test or measure the relationships between grounded concepts of Informal Territorial-HRM.

These results reveal a quite different dynamic of the emergence of Territorial-HRM due to the specificity of the network, its informal nature and its socio-cultural anchorage. The paper adds strong enrichment to the Territorial-HRM field of research by laying out its foundation both in Informal Territorial Networks and in the English speaking academic world.

The present study scrutinizes the relative performance of various near-wall treatments coupled with two-equation RANS models to explore the turbulence transport mechanism in terms of the kinetic energy budget in a plane wall jet and the significance of the near-wall molecular and turbulent shear, to select the best combination among the models which reveals wall jet characteristics most efficiently.

A two-dimensional steady incompressible plane wall jet in a quiescent surrounding is simulated using ANSYS-Fluent solver. Three near-wall treatments, namely the Standard Wall Function (SWF), Enhanced Wall Treatment (EWT) and Menter-Lechner (ML) treatment coupled with Realisable, RNG and Standard k-e models and also the Standard and Shear-Stress Transport (SST) k-ω models are employed for this investigation.

The ML treatment slightly overestimated the budget components on an outer scale, whereas the k-ω models strikingly underestimated them. In the buffer layer at the inner scale, the SWF highly over-predicts turbulent production and dissipation and k-ω models over-predict dissipation. Appreciably accurate inner and outer scale k-budgets are observed with the EWT schemes. With a sufficiently resolved near-wall mesh, the Realisable model with EWT exhibits the mean flow, turbulence characteristics and turbulence energy transport even better than the SST k-ω model.

Three distinct near-wall strategies are chosen for comparative performance analysis, focusing not only on the mean flow and turbulence characteristics but the turbulence energy budget as well, for finding the best combination, having potential as a viable and low-cost alternative to LES and DNS for wall jet simulation in industrial application.

This paper aims to study historical intercultural transfer by examining the case of the Mouvement Desjardins, a Quebec, Canada-based cooperative bank founded in 1900 by Alphonse Desjardins. The aim of the cooperative was to support the hitherto marginalized French–Canadian population and to initiate their economic and entrepreneurial activities.

The authors focus on a historical single-case analysis. This conducts them to analyse primary data from letters exchanged between Alphonse Desjardins and European actors, as well as company documents of the Groupe Desjardins.

The intercultural transfer of the cooperative bank model and its implementation in North America as a successful, self-sustaining model is owing to recontextualization and strategic decisions of the social entrepreneur Alphonse Desjardins based on intensive written correspondence with European bank directors who promoted the cooperative system.

This research instigates an impulse to extend our knowledge of intercultural transfer by looking into other historical cases to provide validation or add subtleties to our understanding of intercultural transfer dynamics.

This paper expands the current understanding of intercultural transfer and its powerful influence, namely, how an implemented cooperative bank system can contribute through successful recontextualization to institutional change and societal improvements. It also provides new insights into the creation and growth of social enterprises based on shared values within communities and coordinated strategic intentions across communities.

Despite the wide use of quantitative assessment to identify the relationship between green logistics (GL) practices and the sustainability performance (SP) of firms, results of these studies are inconsistent. A lack of theoretical foundation has been cited as a potential reason for these contradictory findings. This study aims to explore the relationship between GL practices and SP qualitatively and to provide a theoretical foundation for this link.

Following a multi-methodology approach, the authors used the grounded theory method (GTM) to investigate perceived relationships through qualitative analysis and adopted the system thinking (ST) approach to identify causal relationships using causal loop diagrams (CLDs).

The authors identified different sustainability practices under three major categories: logistics capabilities, resource-related practices and people-related practices. This analysis showed the relationships among these practices are non-linear. Based on the results, the authors developed three propositions and introduced a theoretical foundation for the relationship between GL practices and SP.

Managerial personnel can use the theoretical foundation provided by this study when making decisions on GL practices adoption. This theoretical foundation suggests applying a holistic approach that can help optimize SP by selecting suitable practices. On the other hand, researchers can use a multi-methodology approach suggested by this study to explore complex social issues.

This study contributes to the knowledge from a methodology perspective as no previous studies have been conducted to identifying the relationship between GL practices and SP by combining GTM and ST approaches. This combination can be extended to build system dynamics models for sustainable logistics impacts bringing novelty to the research field of sustainable logistics.

As families engage in entrepreneurship, particularly in developing economies, women's engagement in such activities is subject to the traditional cultures, norms and values of the communities to which they belong. This paper aims to investigate how the socio-cultural context influences women's entrepreneurship as women engage in “family entrepreneuring”.

The study draws on an inductive qualitative approach to explore how multiple cultural, social and economic contexts encourage women's entrepreneurship and, thus, position them at the centre of family entrepreneuring within this community. Using snowballing techniques, we analyse narratives from 51 women entrepreneurs, generated through semi-structured interviews, to reveal key insights into the practice of family entrepreneuring.

The findings reveal the complex socio-cultural context within the “Adja” community, where polygamy, a traditional and cultural practice, enables the transfer of culturally and socially embedded informal knowledge. The study explains how women's entrepreneuring activities are supported by informal in-family apprenticeships, resulting in family members learning specific skills while also experiencing the feeling of belonging to the family. Showcasing the heterogeneity of contexts, particularly those found in Africa, this study challenges the normative view within the Global North and the dominance of the “heroic male” in entrepreneurship by showcasing how women (especially matriarchs) are significant actors in training other women, co-wives, daughters and relatives in family entrepreneuring.

Thus, this study contributes to the extant literature on family entrepreneuring by revealing an unusual case of women from polygamous families becoming the focal actors in family entrepreneuring activity and challenging the culturally ascribed gender roles to evolve into the breadwinners in their households, as well as focusing on how this process is driven by endogenous knowledge exchange.