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This study aims to investigate the dynamics of cyberbullying among minority youths, focusing on its increasing prevalence in the digital realm, which does not necessitate technical expertise from the offenders. It explores a shift from conventional bully characteristics to individuals assuming new digital personas, merging traditional criminology with flag theory to analyze violent behavior online, specifically in educational environments, and studying the correlation between low self-control, affiliations with delinquent peers and the likelihood of cyberbullying occurrences.

The research uses structural equation modeling to examine survey data from 237 eleventh-grade students in St. Louis public schools, focusing on the relationships between cyberbullying, low self-control and association with delinquent peers within a comprehensive theoretical framework that includes the flag theory and demographic factors, as well as using multigroup analysis to investigate racial dynamics and confirming indirect effects using bootstrapping techniques.

The research establishes strong connections between low self-control, delinquent peer involvement, and cyberbullying, supporting the flag theory in digital violence contexts, while also showing that low self-control and peer engagement play a mediating role in cyberbullying incidents among minority youth, with racial composition having no significant impact on these dynamics.

The study is restricted by its focus on a particular geographical area, in conjunction with its reliance on self-reported information obtained exclusively from a specific age group. This specificity raises concerns about the applicability of the findings to diverse populations. Furthermore, the study’s dependence on a three-item assessment for cyberbullying, combined with the challenges encountered in achieving complete scalar invariance during multigroup analysis, emphasizes the need for more precise measurement tools and improved methodological frameworks.

This research discloses actionable insights fundamental to the advancement of cyberbullying prevention strategies. The finding that the connection between race and the effects of peer association and self-control on cyberbullying is minimal suggests that these interventions can be generally applied, transcending racial boundaries. Moreover, identifying self-control as a critical intermediary offers fresh avenues for cybercrime research, shifting the conventional focus from established predictors. By zeroing in on peer influence as a fundamental element, this study provides innovative angles to bolster the understanding of digital violence mitigation in educational settings.

This research emphasizes the urgent concern of cyberbullying among minority youths, along with its psychological and academic impacts. By elucidating the interaction between personal traits and social networks, the findings can guide comprehensive strategies aimed at cultivating safer digital spaces and bolstering social wellness within educational frameworks.

This research presents an original and ground-breaking method that combines various theories in criminology specifically in the context of cyberbullying among minority youths. By proposing a new and redefined role for self-control, which is not seen as the common main predictor but rather as a crucial mediator, this study provides fresh insights into the dynamics of cyber aggression. Through the detailed examination of the flag theory framework, the study uncovers the complex reciprocal relationship between self-control and peer engagement, revealing previously overlooked mechanisms in a broader landscape of digital violence.

This study sought to understand which food allergen labeling systems (non-directive, semi-directive, and directive) were attended to and preferred by 34 participants with food hypersensitivity and their perceived corporate social responsibility (CSR) and behavioral intention towards a restaurant that identifies food allergens on menus.

This study used an online survey with open-ended and ranking questions, combined with eye-tracking technology, to explore participants' visual attention and design preferences regarding four menus. This study utilized one-way repeated measures analysis of variance (RM-ANOVA) and heat maps to analyze participants' menu-reading behaviors. A content analysis of survey responses and a ranking analysis of menus were conducted to understand the reasons behind consumers' preferred menu designs.

The advisory statement was not much attended to. Participants identified food allergen information significantly quicker with the directive labeling system (icons) than the other two systems, implying they were eye-catching. Semi-directive labeling system (red text) has lower visit count and was more preferred than two other systems; each labeling system has its strengths and limitations. Participants viewed restaurants that disclosed food allergen information on menus as socially responsible, and they would revisit those restaurants in the future.

This study was one of the first to explore, through use of eye-tracking technology, which food allergen labeling systems were attended to by consumers with food hypersensitivity. The use of triangulation methods strengthened the credibility of the results. The study provided empirical data to restauranteurs in the US on the values of food allergen identification on restaurant menus, although it is voluntary.

Researchers explore the impact of an intelligent assistant in virtual teams by applying the theoretical lens of a transactive memory system (TMS) to understand the relationships between trust in a specific technology, knowledge sharing and knowledge application.

An online survey was administered to a Qualtrics-curated panel of individual, US-based virtual team members utilizing an intelligent assistant with team collaboration software. Partial least squares structural equation modeling (PLS-SEM) was utilized to examine the hypothesized relationships of interest.

Results suggest that knowledge application is strongly influenced by trust in a specific technology and knowledge sharing. Additionally, a transactive memory system positively increases trust in the intelligent assistant, and similarly, trust in the intelligent assistant has a significant positive relationship with knowledge sharing.

The research model contributes to our understanding of the impact of an intelligent assistant in virtual teams. Although the transactive memory system construct has been explored in various contexts and models, few have explored the impact of an intelligent assistant and trust in a specific technology.

American Community colleges are vital to the country's economic mobility and are leaders in developing and facilitating career, technical, and workforce education. This study explored employer perspectives on employees' common and specialized skills across industries in the United States.

Employers were profiled for one year using a case study and content analysis method. They submitted performance records for at least three employees who graduated from community college career, technical, or workforce programs.

Data revealed that overall, employees were successful at work, but employers focused on employability skills across disciplines (common skills); specialized skills employers focused on were associated with business operations and processes and seemed to be something other than industry-specific technical knowledge.

This article and the research it refers to constitute original work that has not been reproduced or published. The value of this article is premised on new longitudinal data, which could be used to improve and progress institutional CTE and WD programs.