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In many security domains, the ‘human in the system’ is often a critical line of defence in identifying, preventing and responding to any threats (Saikayasit, Stedmon, & Lawson, 2015). Traditionally, such security domains are often focussed on mainstream public safety within crowded spaces and border controls, through to identifying suspicious behaviours, hostile reconnaissance and implementing counter-terrorism initiatives. More recently, with growing insecurity around the world, organisations have looked to improve their security risk management frameworks, developing concepts which originated in the health and safety field to deal with more pressing risks such as terrorist acts, abduction and piracy (Paul, 2018). In these instances, security is usually the specific responsibility of frontline personnel with defined roles and responsibilities operating in accordance with organisational protocols (Saikayasit, Stedmon, Lawson, & Fussey, 2012; Stedmon, Saikayasit, Lawson, & Fussey, 2013). However, understanding the knowledge that frontline security workers might possess and use requires sensitive investigation in equally sensitive security domains.

This chapter considers how to investigate knowledge elicitation in these sensitive security domains and underlying ethics in research design that supports and protects the nature of investigation and end-users alike. This chapter also discusses the criteria used for ensuring trustworthiness as well as assessing the relative merits of the range of methods adopted.

For women in leadership, managing work and life obligations is essential, especially when leading in male dominated occupations such as STEM. This study examined social support and work-family integration/blurring to determine how women in leadership perceived these dynamics. By surveying STEM women leaders, this research explored work-life strategies and support resources used by women leaders to balance their work and non-work domains and promote their roles as leaders. Women leaders indicated difficulty delineating between work and personal roles and recognized informational and emotional support as most significant to their roles as leaders. Findings also indicated that most support came from spouses/significant others, female co-workers, and mentors outside the organization, respectively. These sources provided the support needed to maintain and progress in their roles as women leaders.

In March 2020, with only two working days’notice the French national education system went online due to the coronavirus pandemic. This study explores the relationship between the move to distance learning, the teaching practices employed and the socio-economic context of the learners in French schools during this period. We ask how far the changes in teaching practices during the coronavirus crisis were influenced by the social context of teaching. And to what extent this context influenced the focus of the pedagogical continuity those teachers set up.

A review of the literature situates the study within the field of mathematics teaching practices. The study was carried out through a multidimensional analysis using multiple correspondences of the responses of 368 French secondary school mathematics teachers to an online questionnaire.

We found that the unprepared move to distance learning impeded the employment of dialogic practices. The socio-economic situation of the teaching was identified as a determining factor in the teachers' different interpretations of the term pedagogical continuity. Whilst those working in more deprived areas tended towards practices which focused on maintaining pupils' links with school, consolidation of knowledge and providing social/affective support, those teaching a more privileged public favoured tools and practices which allowed them to focus on the disciplinary content of their teaching.

The challenge of maintaining dialogic activities – teacher education to combat inequalities.

A quantitative study of mathematics teachers providing pedagogical continuity through distance learning for the duration of the crisis.

Women leaders operate within multiple roles, managing both work and nonwork obligations. Exploring work-life balance constructs, this study examined role integration, social support sources, and work-family conflict to determine their influence on women leaders. Findings suggested that women leaders felt the benefit of a variety of social support services, but especially from sources external to the organization. Women leaders were diverse in role integration strategies, with respondents largely divided between blurring and segregating their work and nonwork roles. Time-based work-family conflict was slightly more apparent than strain-based conflict. Women leaders also indicated that their work interfered with their family more than their family interfered with their work. Findings provide valuable insights as to how women view work-life balance within their roles as leaders.

This study aims to integrate social identity and leader–member exchange (LMX) theory to investigate the processes and boundary conditions around LMX–performance relationships. Through the application of two leader–follower subsamples, the authors test three main objectives. What is the effect of multi-dimensional dyad value-congruence on LMX and how does congruence on these dimensions differentially influence leader and follower perceptions of LMX? In a subsample of followers including supervisor-rated performance, the authors develop a model that examines how individual values moderate the effect of dyad contact on supervisor-rated job performance mediated by follower LMX.

The participants for this study include graduate and undergraduate social work students who were taking part in a one-year work placement within a social work organization as well as their immediate supervisors. Across a four-month period, participants filled out measures of their supervisor contact, work values and LMX. Supervisor-rated performance was also included.

Findings from the dyadic subsample show that growth value congruence is a predictor of follower-rated LMX, with value congruence across all values having no effect on leader-rated LMX. Within a subsample of followers, findings suggest that follower-rated LMX mediates the relationship between dyad contact and supervisor-rated job performance, with individual work values moderating this effect.

The current study offers several contributions to the literature on LMX and job performance. First, in this study’s dyadic leader–follower sample, the authors extend propositions made by social identity theory around value congruence and LMX by offering support for a multi-dimensional and multi-target approach to questions of values and LMX. Second, within this study’s larger non-dyadic sample, the authors offer insights into previous conflicting findings around dyad contact and LMX, by offering support for the indirect effect of dyad contact on supervisor-rated performance via LMX. Third, within this second sample, the authors also extend the literature on values and LMX to show that the process through which LMX influences job performance is dependent on follower values.

The purpose of this paper is to develop a more detailed understanding of how embedding in different social networks relates to different types of action that individuals choose in the context of organizational closures, downsizing or relocations. To develop such insights, this paper focuses on three particular types of social networks, namely, intra-organizational; external professional and local community networks. These three types of networks have been frequently related to different types of action in the context of closures and relocations.

This is a conceptual paper. The authors develop the argument by integrating relevant recent literature on the salience related to embedding in different types of social networks, with a particular focus on responses to organizational closure or relocation.

The authors argue that at times of industrial decline and closure: embeddedness in intra-organizational networks can favor collective direct action; embeddedness in professional networks is likely to favor individual direct action and embeddedness in community networks can lead to individual indirect action. The authors then add nuance to the argument by considering a range of complicating factors that can constrain or enable the course (s) of action favored by particular combinations of network influences.

On a theoretical level, this paper adds to understandings of the role of network embeddedness in influencing individual and collective responses to such disruptive events; and direct or indirect forms of response. On a practical level, the authors contribute to understandings about how the employment landscape may evolve in regions affected by organizational demise, and how policymakers may study with or through network influences to develop more responsible downsizing approaches.

This paper explores intergenerational perceptions of kindness in the context of Black Lives Matter (BLM) movement and the COVID-19 global pandemic. The purpose of this exploratory study is to investigate perceptions of kindness in the context of traumatic events and its potential value in authentic allyship in organizational environments.

Authors interviewed 65 individuals (31 self-identifying as non-racialized and 34 self-identifying as Black, Indigenous and People of Colour aka BIPOC). Participants included Generation Z (Gen Z; born between 1997–2012/5) and Generation Y (Gen Y; also referred to as Millennials, born between 1981 and 1994/6) across North American, Europe and Africa. Millennials currently represent the largest generation in the workplace and are taking on leadership roles, whereas Gen Z are emerging entrants into the workplace and new organizational actors.

The paper offers insights into how to talk about BLM in organizations, how to engage in authentic vs performative allyship and how to support BIPOC in the workplace. The study also reveals the durability of systemic racism in generations that may be otherwise considered more enlightened and progressive.

The authors expand on kindness literature and contribute theoretically and methodologically to critical race theory and intertextual analysis in race scholarship.

The study contributes to the understanding of how pro-social behaviours like kindness (with intention) can contribute to a more inclusive discourse on racism and authentic allyship.

Authors reveal the potential for kindness as a pro-social behaviour in organizational environments to inform authentic allyship praxis.

This chapter examines the structure and sentiment of the Twitter response to Nathan Broad's naming as the originator of an image-based sexual abuse incident following the 2017 Australian Football League Grand Final. Employing Social Network Analysis to visualize the hierarchy of Twitter users responding to the incident and Applied Thematic Analysis to trace the diffusion of differing streams of sentiment within this hierarchy, we produced a representation of participatory social media engagement in the context of image-based sexual abuse. Following two streams of findings, a model of social media user engagement was established that hierarchized the interplay between institutional and personal Twitter users. In this model, it was observed that the Broad incident generated sympathetic and compassionate discourses among an articulated network of social media users. This sentiment gradually diffused to institutional Twitter users – or Reference accounts – through the process of intermedia agenda-setting, whereby the narrative of terrestrial media accounts was altered by personal Twitter users over time.

The purpose of this paper is clearly illustrate this convergence and the prescriptive recommendations that such documents entail. There is a significant amount of research into the ethical consequences of artificial intelligence (AI). This is reflected by many outputs across academia, policy and the media. Many of these outputs aim to provide guidance to particular stakeholder groups. It has recently been shown that there is a large degree of convergence in terms of the principles upon which these guidance documents are based. Despite this convergence, it is not always clear how these principles are to be translated into practice.

In this paper, the authors move beyond the high-level ethical principles that are common across the AI ethics guidance literature and provide a description of the normative content that is covered by these principles. The outcome is a comprehensive compilation of normative requirements arising from existing guidance documents. This is not only required for a deeper theoretical understanding of AI ethics discussions but also for the creation of practical and implementable guidance for developers and users of AI.

In this paper, the authors therefore provide a detailed explanation of the normative implications of existing AI ethics guidelines but directed towards developers and organisational users of AI. The authors believe that the paper provides the most comprehensive account of ethical requirements in AI currently available, which is of interest not only to the research and policy communities engaged in the topic but also to the user communities that require guidance when developing or deploying AI systems.

The authors believe that they have managed to compile the most comprehensive document collecting existing guidance which can guide practical action but will hopefully also support the consolidation of the guidelines landscape. The authors’ findings should also be of academic interest and inspire philosophical research on the consistency and justification of the various normative statements that can be found in the literature.