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The purpose of this study was to explore 232 service providers’ and policymakers’ experiences of supporting children’s well-being during the pandemic, across sectors, in 22 countries – including Kenya, the Philippines, South Africa, India, Scotland, Sweden, Canada and the USA, in the last quarter of 2020.

A smartphone survey delivered via a custom-built app containing mostly open-ended questions was used. Respondents were recruited via professional networks, newsletters and social media. Qualitative content analysis was used.

The findings reveal numerous system-level challenges to supporting children’s well-being, particularly virus containment measures, resource deficiencies and inadequate governance and stakeholder coordination. Those challenges compounded preexisting inequalities and poorly affected the quality, effectiveness and reach of services. As a result, children’s rights to an adequate standard of living; protection from violence; education; play; and right to be heard were impinged upon. Concurrently, the findings illustrate a range of adaptive and innovative practices in humanitarian and subsistence support; child protection; capacity-building; advocacy; digitalisation; and psychosocial and educational support. Respondents identified several priority areas – increasing service capacity and equity; expanding technology use; mobilising cross-sectoral partnerships; involving children in decision-making; and ensuring more effective child protection mechanisms.

This study seeks to inform resilience-enabling policies and practices that foster equity, child and community empowerment and organisational resilience and innovation, particularly in anticipation of future crises.

Using a novel approach to gather in-the-moment insights remotely, this study offers a unique international and multi-sectoral perspective, particularly from low- and middle-income countries.

Existing literature on algorithmic management practices – defined as autonomous data-driven decision making in people's management by adoption of self-learning algorithms and artificial intelligence – suggests complex relationships with employees' well-being in the workplace. While the use of algorithms can have positive impacts on people-related decisions, they may also adversely influence job autonomy, perceived justice and – as a result – workplace well-being. Literature review revealed a significant gap in empirical research on the nature and direction of these relationships. Therefore the purpose of this paper is to analyse how algorithmic management practices directly influence workplace well-being, as well as investigating its relationships with job autonomy and total rewards practices.

Conceptual model of relationships between algorithmic management practices, job autonomy, total rewards and workplace well-being has been formulated on the basis of literature review. Proposed model has been empirically verified through confirmatory analysis by means of structural equation modelling (SEM CFA) on a sample of 21,869 European organisations, using data collected by Eurofound and Cedefop in 2019, with the focus of investigating the direct and indirect influence of algorithmic management practices on workplace well-being.

This research confirmed a moderate, direct impact of application of algorithmic management practices on workplace well-being. More importantly the authors found out that this approach has an indirect influence, through negative impact on job autonomy and total rewards practices. The authors observed significant variation in the level of influence depending on the size of the organisation, with the decreasing impacts of algorithmic management on well-being and job autonomy for larger entities.

While the influence of algorithmic management on various workplace practices and effects is now widely discussed, the empirical evidence – especially for traditional work contexts, not only gig economy – is highly limited. The study fills this gap and suggests that algorithmic management – understood as an automated decision-making vehicle – might not always lead to better, well-being focused, people management in organisations. Academic studies and practical applications need to account for possible negative consequences of algorithmic management for the workplace well-being, by better reflecting complex nature of relationships between these variables.

In brand activism, a brand promotes contested sociopolitical causes to highlight its values. Brand activism also alienates those consumers who disagree with the cause, who might, consequently, target the brand with critical, negative or even aggressive actions. This paper aims to study the triggers and strategies of consumers’ antibrand actions given in response to brand activism.

Qualitative content analysis and multiple correspondence analysis were used to study consumer responses directed at a chocolate brand’s campaign that advocated civilized online conversions and opposed hate speech, a politically heated topic. In total, 1,615 messages were collected from social media platforms.

Field infringement, political accusations and questioned impact of the campaign triggered consumers to turn against the campaign. Strategies to undermine it included boycotting, discrediting the brand and trapping. Trapping – creatively using technological affordances to create harm to the brand – was typically triggered by political associations.

Findings relate to the critical responses regarding one campaign only.

By understanding the political discussion around the chosen cause, including the opponents’ typical triggers and strategies, brand activism can more credibly advocate for contested social causes and communicate brand values.

Political antibrand actions are distinct from the previously identified functional and ethical antibrand actions, and they are noninstrumental by nature. Practices that are native to social media are central to political antibrand actions, and social media platforms contribute to how such disappointment is articulated and acted upon.

This study aims to provide a comprehensive review and bibliometric analysis of the literature in the field of science, technology, engineering and mathematics (STEM) education over the past 15 years, with a specific focus on global distribution and research trends.

This study collected 1,718 documents from the Web of Science (WOS) database and analyzed their timeline distribution, geographical distribution, research topics, subject areas, learning stages and citation burst using a bibliometric approach with VOSviewer and Citespace.

Results indicated that: overall, STEM education has increasingly gained scholarly attention and is developing diversely by emphasizing interdisciplinary, cross-domain and regional collaboration. In terms of global collaboration, a collaborative network with the USA in the center is gradually expanding to a global scope. In terms of research themes, four key topics can be outlined including educational equity, pedagogy, empirical effects and career development. Social, cultural and economic factors influence the way STEM education is implemented across different countries. The developed Western countries highlighted educational equity and disciplinary integration, while the developing countries tend to focus more on pedagogical practices. As for research trends, eastern countries are emphasizing humanistic leadership and cultural integration in STEM education; in terms of teachers’ professional development, teachers’ abilities of interdisciplinary integration, technology adoption and pedagogy application are of the greatest importance. With regards to pedagogy, the main focus is for developing students’ higher-order abilities. In terms of education equity, issues of gender and ethnicity were still the hottest topics, while the unbalanced development of STEM education across regions needs further research.

This study provides a global landscape of STEM education along the timeline, which illustrates the yearly progressive development of STEM education and indicates the future trends.

The purpose of this study is to investigate the moderating effect of board gender diversity on the relationship between sustainability reporting (SR) and earnings management (EM) in the East Africa Community (EAC).

The study analyzed a sample of 71 publicly traded companies from 2011 to 2021.

The study finds that both SR and board gender diversity have a negative and significant effect on EM and that board gender diversity moderates the relationship between SR and EM.

The findings suggest that boards should support the adoption of SR and increase female representation as a practical way to reduce EM. Policymakers should also implement appropriate measures, such as imposing mandatory SR and gender quotas on corporate boards, to address EM.

This research adds to the limited knowledge of SR and EM in the EAC and also fills a gap in the existing literature by investigating the influence of board gender diversity on the link between SR and EM.