DePaul University

Coping self-efficacy is linked to adaptive coping skills and improved psychological well-being, yet few studies have examined coping self-efficacy in African American adolescents. This study examined change over time in African American adolescents' coping self-efficacy and the extent to which social-contextual factors (maternal warmth and community violence exposure) and gender are associated with coping self-efficacy. Participants were 160 African American adolescents who resided in a large Midwestern city. Ninth-grade adolescents were followed through 10th grade and reported on coping self-efficacy, maternal warmth, and community violence exposure at four 6-month time intervals. Latent growth modeling was used to examine change over time in coping self-efficacy, along with the effects of social-contextual factors and gender on coping self-efficacy. Latent growth modeling results suggest that, on average, coping self-efficacy linearly declined over the course of ninth and 10th grade. Maternal warmth was associated with higher coping self-efficacy over time, whereas community violence exposure was not associated with coping self-efficacy. Girls reported a lower initial level of coping self-efficacy than boys at the start of ninth grade, but there was no difference in the slope (rate of change) of coping self-efficacy between girls and boys. Implications of study results for research and school based, culturally and contextually relevant coping skills intervention for African American adolescents are discussed. Study limitations and future directions are also described. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Contemporary organizations navigate complex environments where plural institutional logics compete to shape organizational fields. These logics often prescribe contradictory actions, exposing organizations to scrutiny from multifaceted stakeholders with competing agendas and disparate expectations. Thus, hybrid organizing is essential for engaging diverse stakeholders – but poses significant challenges for achieving legitimacy. Using data from 209 certified benefit corporations integrating dual social-market orientations, this research examined three dimensions of hybridity—logic centrality , integration , and scope —in their institutional messages via mission statements. Results suggested that organizations with greater legitimacy (1) prioritized communicating their social mission, (2) exhibited higher levels of integration in benefit and employment models, and (3) targeted broader stakeholder groups. However, the legitimacy implications of each hybridity dimension varied based on the evaluating stakeholder group: the accreditation organization or social media users. This research sheds light on when and how organizational hybridity fosters legitimacy, highlighting an institutional and communicative model of stakeholder engagement.

Purpose This practitioner paper translates peer-reviewed research on restaurant worker mental models into actionable strategies for implementing artificial intelligence (AI)-driven reservation and personalization systems. The paper aims to address the critical disconnect between AI technology capabilities and worker acceptance, which causes 60–70% of hospitality technology implementations to fail despite technical sophistication. Design/methodology/approach Drawing from pathfinder network analysis of 25 restaurant workers’ cognitive structures (Iyer, Reynolds, Nam, & Jeong, 2024), this paper synthesizes findings with current AI hospitality literature to develop a human-centered implementation framework. The mental model alignment matrix evaluates AI features against workers' cognitive frameworks across operational flow, interpersonal dynamics and risk management dimensions. Findings Restaurant workers organize their understanding through three interconnected domains that determine technology acceptance. Workers evaluate AI systems based on their impact on the rhythm of service. Furthermore, they perceive technology that reduces human interaction as a threat to their core professional identity and incorporate these new systems into complex risk calculations that extend beyond efficiency to include reputational and service quality concerns. Practical implications Managers should position AI as intelligence amplifiers rather than automation tools, involve frontline workers in workflow mapping to identify non-disruptive integration points and design training that develops interpretation skills over operational compliance. Implementation requires iterative refinement with genuine worker influence over system evolution and clear accountability frameworks that preserve professional judgment. Originality/value This paper uniquely bridges cognitive psychology and hospitality technology implementation, providing the first framework that aligns AI deployment with worker mental models. The mental model alignment matrix (Borders, Klein, & Besuijen 2024) offers managers a practical tool for prioritizing features and sequencing implementation to maximize adoption success.

This article introduces the Magnetic Positioning Indoor Estimation 2.0 (MagPIE2) dataset, designed to evaluate localization, mapping, and simultaneous localization and mapping (SLAM) methods that rely on the use of magnetic fields. Prior work has shown that contemporary localization methods that use magnetic fields are not robust to height changes that may commonly occur during use by pedestrians and robots. Our dataset contains measurements from magnetometers and inertial measurement units collected inside multiple buildings at multiple heights with both a pedestrian and a ground robot. We used several sensors for ground truth, including visual-inertial SLAM, red-green-blue (RGB) and depth images. We also provide sensor calibration measurements and suggested calibration values. Unlike some previous datasets, MagPIE2 includes trials where ferromagnetic objects (like tables, chairs, and computers) have been moved. This dataset is available for download at https://doi.org/10.13012/B2IDB-0228701_V1.