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The emergence of networks within education has been driven by a number of factors, including: the complex nature of the issues facing education, which are typically too great for single schools to tackle by themselves; changes to educational governance structures, which involve the hollowing out of the middle tier and the introduction of new approaches with an individualized focus; in addition is the increased emphasis on education systems that are “self-improving and school-led”. Within this context, the realization of teacher and school improvement actively emerges from establishing cultures of enquiry and learning, both within and across schools. Since not every teacher in a school can collaboratively learn with every other teacher in a network, the most efficient formation of networks will comprise small numbers of teachers learning on behalf of others.

Within this context, Professional Learning Networks (PLNs) are defined as any group who engage in collaborative learning with others outside of their everyday community of practice; with the ultimate aim of PLN activity being to improve outcomes for children. Research suggests that the use of PLNs can be effective in supporting school improvement. In addition, PLNs are an effective way to enable schools to collaborate to improve educational provision in disadvantaged areas. Nonetheless harnessing the benefits of PLNs is not without challenge. In response, this paper explores the notion of PLNs in detail; it also sheds light on the key factors and conditions that need to be present if PLNs are to lead to sustained improvements in teaching and learning. In particular, the paper explores the role of school leaders in creating meaningful two-way links between PLNs and their schools, in order to ensure that both teachers and students benefit from the collaborative learning activity that PLNs foster. The paper concludes by suggesting possible future research in this area.

The purpose of this study is to investigate the evolving perceptions and human resource (HR) responses of owners and HR managers of Chinese small and medium-sized enterprises (SMEs) towards local labour markets in the context of the impact of the coronavirus disease 2019 (COVID-19) pandemic.

This study adopts a two-stage longitudinal qualitative approach involving 52 interviews with owners and HR managers of Chinese SMEs in the pre- and post-pandemic time periods.

The findings reveal a shift from the perceptions of a general labour shortage to perceptions of specialised talent shortages and increasing geographical disparities in local labour markets. They further reveal that SMEs are increasingly likely to adopt efficiency-oriented, flexibility-enhancing HR practices in the face of high uncertainty.

The findings provide insights into the nature of the constraints of SMEs' sustainable development that need to be addressed by policymakers, SME owners and HR managers when they devise and implement policies relating to structure optimisation, labour market integration and mobility enhancement.

In contrast to extant literature that has examined the labour market at the national level, this study explores the views of SMEs (the demand side) by taking a localised perspective on how SMEs have responded to change through their HR practices.

This paper seeks to contribute to the debate on the usefulness of institutional theory to critical studies. It pursues this topic by exploring some of the possibilities for allocating local authority funds more fairly for poor residents. This paper aims to shed light on the institution of budgeting in a democratically elected local government under austerity.

This paper uses world culture theory, the study of the devolution of cultural authority to individuals and organisations through which they turn into agentic actors. Based on a field study of Newcastle City Council’s (NCC’s) budget-related practices, the paper uses the notion of actorhood to explore the use of fairness in austerity budgets.

This paper documents how new concerns with fairness gave rise to new local authority practices and gave NCC characteristics of actorhood. This paper also shows why it might make sense for a local authority that is managing austerity budget cuts and cutting back on services to make more detailed performance information public, rather than attempting to hide service deterioration, as some prior literature suggests. This paper delineates the limits to actorhood, in this study’s case, principally the inability to overcome structural constraints of legal state power.

The paper is suggestive of ways in which local government can fight inequality in opposition to central government austerity.

To the best of the authors’ knowledge, this is the first qualitative accounting study of actorhood. It coins the phrase fairness assemblage to denote a combination of various accounting technologies, organisational elements and local government practices.

This study aims to explore the perceived barriers that a secondary English teacher faced when attempting to discuss racial injustice through young adult literature in Mississippi.

The authors rely on Critical Whiteness Studies and qualitative methods to explore the following research question: What are the barriers that a White ELA teacher perceives when teaching about racial injustice through The Hate U Give?

The authors found that there were several perceived barriers to discussing modern racial injustice in the Mississippi ELA classroom. The participating teacher indicated the following barriers: a lack of racial literacy, fears of discomfort and an urge to avoid politics.

Much has been written about the urgent need for antiracist teaching practices in secondary English classes. This article explores the barriers a white ELA teacher perceived when attempting to discuss modern racial injustice through literature instruction in a white context of the “four pandemics” (Ladson-Billings, 2021).

The aim of this study is two-fold: (1) to promote a model of youth participatory research and offer a window of understanding into how it can be enacted and (2) to understand youth perspectives on youth empowerment. This study asks: “how can youth help us understand youth empowerment?”

The study applies youth participatory action research (YPAR) and interpretative phenomenological analysis. The study illustrates how to enact a model of YPAR by engaging youth in the process of research in a youth-serving community non-profit organization.

This study sets out to make two important contributions, one methodological and one theoretical: First, the study contributes to our understanding of the opportunities and benefits of youth-engaged, peer-to-peer research. Specifically, this study promotes a model of youth participatory action research and knowledge making processes, and the associated social and formal benefits for youth. By extension, this study illustrates an approach to engage youth in formal contexts which has implications for both management and organizational studies and education. Finally, the study extends our understanding and conceptualization of the phenomenon of youth empowerment (as informed by youth perspectives).

The study offers insight into how to conduct youth participatory action research and specifically how to address two limitations cited in the literature: (1) how to authentically engage youth including how to share power, and (2) how to perform youth participatory action research, often critiqued as a black box methodology.

Explainable artificial intelligence (XAI) has importance in several industrial applications. The study aims to provide a comparison of two important methods used for explainable AI algorithms.

In this study multiple criteria has been used to compare between explainable Ranked Area Integrals (xRAI) and integrated gradient (IG) methods for the explainability of AI algorithms, based on a multimethod phase-wise analysis research design.

The theoretical part includes the comparison of frameworks of two methods. In contrast, the methods have been compared across five dimensions like functional, operational, usability, safety and validation, from a practical point of view.

A comparison has been made by combining criteria from theoretical and practical points of view, which demonstrates tradeoffs in terms of choices for the user.

Our results show that the xRAI method performs better from a theoretical point of view. However, the IG method shows a good result with both model accuracy and prediction quality.