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Internationally publicized cases of police violence against unarmed black men have led to calls for accountability in policing. Increased footage of police–public interactions, specifically through the form of police body-worn cameras (BWCs), is encouraged and considered an innovation that can improve the policing profession. However, BWC adoption is likely more feasible in big city departments than in small and rural departments, who respond to many of the same issues as their larger counterparts. The purpose of this study is to explore perceptions of BWC among leaders of small and rural police departments.

Using a mixed methods approach, the authors surveyed 349 chiefs of small and rural Pennsylvania police departments and conducted qualitative follow-up interviews with 53 chiefs.

The results indicate that both adopters and non-adopters esteem BWC in a positive light, particularly toward the ability to improve professionalism and police–community relations. Other findings and implications of these results will be discussed.

This study focuses on small and rural police departments, which make up the majority of police departments but are often understudied.

The authors evaluated the impact of an anti-bias training intervention for improving police behavior during interactions with community members and public perceptions of discrimination.

Fifty patrol officers from a diverse municipal agency were randomly selected to participate in an anti-bias intervention. Before and after the intervention, a random selection of Body Worn Camera (BWC) videos from the intervention group as well as from a control group of officers was coded using a validated tool for coding police “performance” during interactions with the public. Discrimination-based community member complaints were also collected before and after the intervention for treatment and control group officers.

The treatment group had a small but significant increase in performance scores compared to control group officers, F = 4.736, p = 0.009, R2ß < 0.01. They also had a small but significantly reduced number of discrimination-based complaints compared to control group officers, F = 3.042, p = 0.049, p2 = 0.015. These results suggest that anti-bias training could have an impact on officer behaviors during interactions with public and perceptions of discrimination.

Although these results are from a single municipal police department, this is the first study to suggest that anti-bias trainings may have a positive behavioral impact on police officers as well as the first to illustrate the potential for their impact on community members' perceptions of biased treatment by officers.

The proliferation of recording technologies has increased the prevalence of police intervention videos in news media. Although previous research has explored the influence of such coverage on public opinion, the mechanisms underlying this impact have received limited attention. This study investigates the role of information credibility in the assessment of police interventions portrayed in news media videos.

A total of 634 participants were shown a mock-up TV news report that included a description and a brief clip of a police use-of-force event. A survey was conducted before and after the presentation of the report.

Camera perspective, anchor tone, viewer gender and pre-existing perceived TV news credibility were found to influence how credible the mock-up news report was perceived. Participants who judged the news report as complete and credible tended to have a more favourable opinion of the police intervention. Perceived credibility also acted as a moderator in the relationship between video and receiver characteristics and the assessment of the police intervention.

These findings offer valuable insights for law enforcement agencies and their public affairs units to develop effective strategies for managing public opinion.

This research highlights how important perceived credibility is in influencing public opinion and how different factors such as video and receiver characteristics can impact credibility assessment.

Purpose: With this study, the authors aim to highlight the application of machine learning in smart appliances used in our day-to-day activities. This chapter focuses on analysing intelligent devices used in our daily lives to examine various machine learning models that can be applied to make an appliance ‘intelligent’ and discuss the different pros and cons of the implementation.

Methodology: Most smart appliances need machine learning models to decrypt the meaning and functioning behind the sensor’s data to execute accurate predictions and come to appropriate conclusions.

Findings: The future holds endless possibilities for devices to be connected in different ways, and these devices will be in our homes, offices, industries and even vehicles that can connect each other. The massive number of connected devices could congest the network; hence there is necessary to incorporate intelligence on end devices using machine learning algorithms. The connected devices that allow automatic control appliance driven by the user’s preference would avail itself to use the Network to communicate with devices close to its proximity or use other channels to liaise with external utility systems. Data processing is facilitated through edge devices, and machine learning algorithms can be applied.

Significance: This chapter overviews smart appliances that use machine learning at the edge. It highlights the effects of using these appliances and how they raise the overall living standards when smarter cities are introduced by integrating such devices.

Viral videos of police violence create demands for new police narratives about using force. Public reactions to videos lead spokespeople to provide justifications that support narrative structures of the necessity and inevitability of police violence. Ultimately, video is presented as lacking context and credibility when it is viewed unaccompanied by police explanations.

Community-police relations have gained increasing public attention during the past decade. The purpose of the present study was to better understand the relationship between perceived community support and police officer burnout and engagement.

Data were gathered via online survey from 117 officers from a city police department in the Southeastern United States.

Community support was negatively correlated with burnout and positively correlated with engagement. Moreover, multiple regression analyses showed that community support explained significant incremental variance in most dimensions of burnout and engagement, above and beyond demographic factors and community stressors. Qualitative results showed that police officers had mixed perceptions of how they were viewed by the general public, with more negative than positive responses. However, officers felt more positively perceived in their own communities, but concerns were raised that national events affected the perceptions of officers even in positive relationships with their communities. Finally, officers felt that public perceptions impacted their job satisfaction, job performance and personal lives.

The results have practical implications for how to encourage positive interactions between officers and their community, with recommendations for both law enforcement leaders and civilians.

This study is one of the few that highlights the officers' perspective on how public perceptions affect their work. This is important in understanding how to maximize quality community interactions while minimizing conditions that would increase burnout.

The economic theory of crime states that crime can be prevented by either increasing the probability of being detected or increasing penalties. However, individual responses to fines and imprisonment may vary, and corruption can reduce both the probability of being detected and punishment costs. The purpose of this study is to investigate the effects of corruption on crime prevention.

This study used an experiment to investigate the effects of criminalisation and corruption. This study tested whether individuals respond differently to variables on the probability of being detected and punishment costs and whether corruption affects these variables.

The results of this study demonstrated that increasing the probability of being detected initially reduces crime rates more efficiently than increasing penalties, then the efficiency gradually reduces, and that corruption reduces the effectiveness of detection and punishment.

Ineffective corruption prevention is not solely attributed to corrupt police, as illicit payments and personal connections also contribute to corruption.

Policymakers and law enforcement agencies should focus on preventive measures by increasing the chance of being detected, creating transparency and encouraging public participation to address corruption problems thoroughly.

This research conducted in Thailand investigates the effectiveness of crime-prevention mechanisms and considers the impact of corruption. This study offers insights into how criminals perceive detection and punishment costs under different social-political environments.

Research on the “black box” of cognitive capital remains limited in supply chain resilience (SCRES) literature. Drawing from an in-depth single case study of a major consumer electronics multinational facing the COVID-19 disruption, this paper aims to develop a clearer picture of cognitive capital’s elements while contextualizing how they interact with SCRES temporal capabilities to prepare, respond, recover and learn.

Consisting of 40 in-depth interviews collected during a four-month period, this single case revolves around the buyer’s view across 36 multiregional buyer–supplier dyads, spanning 17 product and service categories. Data were processed during the pandemic, while findings discuss pre- and intra-crisis events based on two scenarios: the impact of disruption on category demand, comparing sudden pandemic-driven product and service demand fluctuations (i.e. increase, decrease); and the geographical proximity of the supplier relative to the buying firm.

The case unveils different elements of cognitive capital (e.g. shared goals, assumptions, values, kinesics language, multilingualism, virtual negotiation, prior disruption experience, shared process capabilities) during a major global disruption, suggesting that different cognitive capital elements influence positively and differently SCRES’ temporal capabilities. Overall, buying firms are urged to build on cognitive capital to improve SCRES preparation, response, recovery and learning.

This paper extends the understanding of cognitive capital in buyer–supplier relationships by identifying its elements and offering a theoretical articulation of how they enable episodically the four SCRES temporal capabilities under contingencies of increased and decreased demands, and suppliers’ geographical proximity.

This research study evaluates an innovative community-oriented policing program, designed to enhance officer accountability, thereby informing the scholarly community and agency decision-makers.

A multi-method approach was employed, leveraging pre- and post-implementation data collection phases. Data were collected via surveys of officers and focus groups with officers, as well as interviews with agency decision-makers.

While officers were originally resistant to the STOP Card program, postimplementation perceptions, evinced through both survey and focus group data, were supportive. Agency administrators were consistently supportive of the initiative.

This is a novel program, implemented by a university police agency set in an urban area. The utility of this and similar efforts may influence agency initiatives.