Explore the vast range of titles available.

Recent years have witnessed an intensifying debate on the deployment of emerging surveillance technologies in protests. Often discussed in terms of “chilling effects”—where activists self-censor due to fear of surveillance repercussions—there's limited research on its effects on both activists and law enforcement. This study explores the technologization of protest policing, moving beyond the oversimplified cat-and-mouse game analogy, to examine its effects on surveillance experiences in more nuanced ways. By analyzing observations and interview data from 2023 road blockades by Extinction Rebellion in The Hague, Netherlands, this paper highlights the intricate consequences of surveillance technologies for both sides. Moving beyond the narrow legal interpretation of “chilling effects,” it uncovers two further socio-psychological sub-manifestations, showing how both groups adapt through hyper-transparency (extreme openness) and hyper-alertness (extreme caution). The study demonstrates how these experiences can be self-reinforcing, where reciprocal suspicion might contribute to a cycle of mutual distrust beyond protest contexts, but also introduces new forms of resilience. This cycle, despite lacking clear causality, bears important implications for society at large. Pervasive suspicion erodes institutional trust among activists and threatens the traditionally communicative and de-escalation-focused approach of Dutch law enforcement. Overall, this extended impact indicates that the technologization of protest policing has resulted in a hybridization of screens and streets, causing its human impacts to stretch beyond the specific times and places of demonstrations. Protest policing now encompasses a multifaceted spectrum of surveillance experiences, affecting a plethora of public values, beyond the right to protest alone.

An implicit assumption in most works on change recipient reactions is that employees are self-centred and driven by a utilitarian perspective. According to large parts of the organizational change literature, employees' reactions to organizational change are mainly driven by observations around the question 'what will happen to me?' We analysed change recipients' reactions to 26 large-scale planned change projects in a policing context on the basis of 23 in-depth interviews. Our data show that change recipients drew on observations with three foci (me, colleagues and organization) to assess change, making sense of change as multidimensional and mostly ambivalent in nature. In their assessment of organizational change, recipients care not only about their own personal outcomes, but go beyond self-interested concerns to show a genuine interest in the impact of change on their colleagues and organization. Meaningful engagement of employees in organizational change processes requires recognizing that reactions are not simply 'all about me'. We add to the organizational change literature by introducing a behavioural ethics perspective on change recipients' reactions highlighting an ethical orientation where moral motives that trigger change reactions get more attention than is common in the change management literature. Beyond the specifics of our study, we argue that the genuine concern of change recipients for the wellbeing of others, and the impact of the organizations' activities on internal and external stakeholders, needs to be considered more systematically in research on organizational change.

Technological surveillance for the sake of safeguarding public safety (e.g., cameras, sensors, mobile phones, OSINT) pervades the lives of individuals on many levels. In this article, we advance the idea that the addition of AI changes the way surveillance ecologies function and thus deserves to spawn its own concept: the surveillance AI-cology. Surveillance AI-cologies are made up of interconnected collections of disparate actors (technological, human, more-than-human, organisational, etc.), all implicated in AI-aided surveillance tasks. They contain not only the usual complexities of any technological ecosystem but also the added complexity of AI, with emergent characteristics, both technically and socially. We argue for the utility of multi-faceted perspectives in doing work within AI-cologies, and we describe (anthropologically inspired) methodology for understanding and unpacking AI surveillance ecosystems. The development of democratically controlled AI surveillance requires the systematic consideration of ethical, legal, and social aspects (ELSA) within the quintuple helix (public, private, civil society, academia, nature). We stress the relevance of clearly defining which perspectives of the quintuple helix are considered in AI surveillance, and which not, to achieve a transparent set of (ELSA) values that guide AI surveillance development and implementation. We provide an example of the way we have developed and applied (some of) these methodologies in the context of a test-site for the development and application of smart city technology, a so-called “Living Lab.” Here we take the stance of active involvement of academics as “critical friends” into complex innovation and assessment processes. Together with our conversation partners in the field, we tease out and reflect upon the (public safety) values embedded in the setup of the Living Lab we explore. We end with a call to understand surveillance AI-cologies not as a problem to be solved, but as a continuing process to be discussed among highly diverse stakeholders.

This review examines workplace identity conflicts, offering three primary contributions. First, it reconciles hitherto fragmented perspectives on identity conflicts to offer an integrative and cross-level perspective on identity conflicts at work. Second, it elucidates an important distinction between two types of identity conflicts, namely intra-unit and inter-unit conflicts, also outlining the different roots, moderators, and reconciliations of these conflict types. Third, it proposes an alternative perspective on identity conflicts as constructive forces for individual and organizational change, also stressing the importance of context and content in shaping identity conflict outcomes. Thus, this paper provides a comprehensive overview of identity conflicts in the workplace, clarifying the current state of the science and offering new directions for future research.

In the study of online radicalisation, little attention has been paid to the way local stakeholders within the broader online radicalisation milieu define, frame, and problematise online radicalisation. As these conceptions and problematisations are crucial to the possibility of cooperation and coordination between them, this lacuna represents a curious oversight. Drawing on a cross-national and highly diverse sample of stakeholders, including law enforcement actors, religious and community leaders, policy-makers and activists, and scientific experts, we inductively identify four largely shared ‘issue frames’. We conceptualise issue frames as ways of organising knowledge and meaning, and as crucial to the way problems – in this case online radicalisation – come to be defined, constructed, and contested by various social actors. Uncovering four shared issue frames, we show how stakeholders commonly 1) highlight the tension between individual and social understanding of radicalisation; 2) reflect on the national embeddedness of radicalisation discourse; 3) comment on the complex politics of online radicalisation monitoring; and 4) warn against the mysteries inherent in algorithmic surveillance and control. Demonstrating that these specific issue frames are largely shared between a highly diverse group of stakeholders, we emphasise the need for cooperation and coordination between these actor groups.

Purpose - Organizational change is a risky endeavour. Most change initiatives fall short on their goals and produce high opportunity and process costs, which at times outweigh the content benefits of organizational change. This paper seeks to develop a framework, offering a theoretical toolbox to analyze context-dependent barriers and enablers of organizational change. Starting from an organizational identity perspective, it aims to link contingency-based approaches, such as environmental scan, SWOT and stakeholder analysis, with insights from organizational behaviour research, such as knowledge sharing and leadership.Design methodology approach - The framework is informed by long-lasting field research into organizational change in an international policing environment. The theories in the framework are selected from the perspective of field validity in two ways; they were chosen because the topics covered by these theories emerged as relevant during the field research and therefore it can be expected they have applicability to the field. The authors' insights and suggestions are summarised in 13 propositions throughout the text.Findings - The analysis provides a clear warning that organizational change is more risky and multifaceted than change initiators typically assume. It is stressed that the external environment and the internal dynamics of organizations co-determine the meaning of managerial practices. This implies that cure-all recipes to organizational change are bound to fail.Originality value - This paper makes an ambitious attempt to cross disciplinary boundaries in the field of organizational change research to contribute to a more comprehensive and holistic understanding of change processes by integrating perspectives that focus on the internal context and the external environment of organizations.

Performance appraisals are widely used as an HR instrument. This study among 332 police officers examines the effects of performance appraisals from a behavioral ethics perspective. A mediation model relating justice perceptions of police officers' last performance appraisal to their work affect, perceived supervisor and organizational support and, in turn, their ethical (pro-organizational proactive) and unethical (counterproductive) work behavior was tested empirically. The relationship between justice perceptions and both, ethical and unethical behavior was mediated by perceived support and work affect. Hence, a singular yearly performance appraisal was linked to both ethical and unethical behaviors at work. The finding that ethical and unethical aspects of employee behavior share several of the same organizational antecedents, namely organizational justice perceptions, has strong practical implications which are discussed as well.

What influence do the personal belief in a just world (i.e., the perception that one usually gets what one deserves) and different kinds of causal attributions have on adjustment to sexual violence? Using a sample of N = 62 victims of sexual aggression (mean age = 21.7) it was shown that respondents were better able to adjust to their experience of sexual violence the higher their personal belief in a just world. Moreover, the more respondents attributed their victimization to situational circumstances (external attributions) and the less they attributed their victimization to their character and personality (characterological self-attributions), the less they felt distressed by past victimization. The degree to which participants attributed their victimization to their own concrete behavior (behavioral self-attribution) was not related to their adjustment. Further analyses showed that the influence of the personal belief in a just world was mediated by the three attribution styles. Additionally, the adaptiveness of external attributions was moderated by participants' just world belief.[PUBLICATION ABSTRACT]

Smart cities are commonly seen as places that are defined by surveillance because of their reliance on vast amounts of digital data to improve urban management challenges. Although the infrastructures and technologies that enable smart city surveillance pervade multitudinous urban spaces and everyday practices, they are often “hiding in plain sight,” going unnoticed in the bustle of everyday life. Hence, fostering research settings where citizens can productively reflect on their everyday surveillance constitutes a major challenge for the interrelated projects of doing empirical research about subjective experiences of smart city surveillance and the inclusion of citizens in smart city discussions. Drawing on walking as a method, this study attempts to meet this challenge by developing and empirically testing a methodology of purposive “data walking.” Situating the research in Rotterdam, the Netherlands, participants are instructed to identify data points for public safety purposes on a short walk through the city and reflect on their experiences. Observations and experiences of smart city surveillance are documented with photos, text descriptions, and audio notes, which are shared in real-time with researchers and provide the basis for group reflections. These walks and reflections generate rich visual and textual data that yield insights into embodied and situated constructions of smart city surveillance as an object of subjective inquiry, experiences of visibility, considerations of agency and evaluations of public safety implications. The study considers these empirical results in conjunction with reflections on the methodology, contributing to further methodological explorations for including citizens in smart city discussions and surveillance subjectivity research.

In this article the authors explore the application of artificial intelligence (AI) in the public safety domain at the example of the Living Lab Scheveningen (LLS). The boulevard of Scheveningen serves as a testing ground for experimenting with AI applications. Examples include maritime vessel detection, nitrous oxide detection, crowd density measurement, and predicting crowd levels. Not all experiments prove successful, but the knowledge gained from these experiments remains valuable. To study innovative AI applications, also innovative research concepts and methods are necessary (such as inclusive AI, ELSA, Quintuple Helix). The authors discuss the ethical, legal, and social aspects and democratic challenges of AI applications in the public safety domain.