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What kinds of support do interstate rivals provide to domestic actors in ongoing civil wars? And how do domestic actors utilize the support they receive? This chapter answers these questions by comparing Iranian and Saudi military and non-military (mediation, foreign aid and religious soft-power promotion) support to the Houthis and to the Government of Yemen (GoY) during the Saada wars (2004–2010) and the internationalized civil war (2015–2018). It also focuses on the processes through which the GoY and the Houthis have utilized this support for their own strategic purposes. This chapter applies a structured, focused comparison methodology and relies on data from a review of both primary and secondary sources complemented by 14 interviews. This chapter finds that there were less external interventions in the conflict in Saada than in the internationalized civil war. During the latter, a broader set of intervention strategies enabled further instrumentalization by domestic actors, which in turn contributed to the protracted nature of the conflict. This chapter contributes to the literature on interstate rivalry and third-party intervention. The framework of analysis is applicable to civil wars that experience intervention by rivals, such as Syria or Libya.

Social enterprises (SEs), part of the third sector, are hybrid organizations combining the pursuit of social scopes with commercial business solutions. In seeking for social value, they pair for-profit and non-profit features, thereby compensating for shortcomings of both the public sector and the commercial market. Therefore, the performance management of such organizations assumes a crucial relevance. Among the available tools, the balanced scorecard (BSC) aims to capture performance multidimensionality, at the same time fostering legitimacy towards stakeholders.

In general terms, the BSC has the limit to follow a linear and static logic of construction and functioning. For this reason, scholars combine it with system dynamics (SD) to create dynamic balanced scorecards (DBSCs). However, literature seems to devote scarce attention to the adoption of such analytic tools in the third sector, particularly in SEs. This chapter wants to contribute to bridging this gap by proposing a tailored application in the context of a social cooperative, active in the clothing recycle and in the re-integration of disadvantaged social categories. By referring to previous literature about DBSC, two modelling strategies are identified: the BSC-driven and the SD-driven. The latter, based on inductive reasoning, is the one privileged for the study because of its wider flexibility. The modelling outputs consider different perspectives than the ones within traditional BSCs, contain elements of circular causality and show how financial and non-financial performances interplay and co-determine each other. Insights from the proposed model can be useful to support both decision-making and stakeholder engagement.

Educating students during emergencies is no longer an occasional occurrence; it has become a common scenario due to mass migration, conflict, poverty, health crises, and climate changes. Educating all students worldwide, migrants and refugees included, improves global security and economic viability, and should be the goal for all stakeholders. Using three illustrative case studies, this chapter provides an overview of the fundamental considerations for implementing learning support structures in uncertain and emergency circumstances. It outlines improvements needed to help educators meet today’s requirements for effective quality education during crisis, including overcoming issues with language, culture, curriculum, teacher training, and national and international policies. It also includes implications for higher education, calling for better approaches to address learning deficiencies, particularly given today’s protracted migrant circumstances.

This article reconstructs the conditions under which displaced persons are integrated into their workplaces with their hosts. It identifies the characteristics of this pathway and provides guidance on the support that should be provided to these people. This support is part of social responsibility. Theories on professional integration/labour market integration (LMI) have been categorised and then arranged in a logical order to determine the stages of this integration. Theories on professional integration support for refugees were also reviewed and examined in relation to this categorisation. Six stages characterise professional integration: getting a job, its sustainability and its wage adequacy, its security and sustainability, career continuity and employability, the fact of being a full and equal participant and being an integrated part of the workforce and the meaningfulness of that job. The level of professional integration marks the quality of this integration. Each level encompasses the previous levels. Displaced persons should be supported throughout their careers to go beyond technical and behavioural skills and take a more holistic view of their tasks to find meaning in their work. While most research focuses on getting a job as a characteristic of occupational integration, this study found five other characteristics that were ordered. It also links vocational integration with social responsibility and provides guidance on how to help displaced people reach the final stage of this integration.

This chapter focusses on how qualitative research can capture the lived experiences of entrepreneurial individuals by exploring their subjective experiences. Traditional methods of data collection involve listening to what entrepreneurial individuals say and observing their actions, although particular attention to their feelings is often absent. To achieve data congruence and to gain a deeper understanding of their lived experiences, it is crucial to also take into consideration how they feel. This chapter will recount a confessional tale recorded during a recent field study in entrepreneurship that will shed light on the pivotal role that a researcher’s sensory processing sensitivity (SPS) trait can play during qualitative data collection in helping researchers becoming mindful of the feelings of entrepreneurial individuals, even when those feelings are not directly expressed by them. The introduction of the researcher’s SPS trait in promoting data congruence during qualitative data collection will be this chapter’s principal contribution.

This chapter provides a comprehensive examination of the diverse strategies employed in various Asian regions to address family planning. Beginning with an in-depth analysis of family planning programs in South Asia, this chapter offers a comparative overview that highlights the unique characteristics and outcomes within this dynamic context. Furthermore, this chapter employs case studies to explore the multifaceted influences of religious beliefs, legal frameworks, and sociocultural factors on family planning practices. By delving into these complexities, it offers a nuanced understanding of the challenges and successes in different Asian regions. This comparative exploration equips policymakers and practitioners with valuable insights to inform more effective and culturally sensitive family planning initiatives.