The ongoing COVID-19 pandemic has led to several changes in academic teaching practices. Although educational digital technologies have been crucial during the initial phases of the pandemic, their forced adoption has led to negative consequences.

Organizations are interested in finding new and more effective ways to promote the well-being of their workers, to help their workers manage work-related stress. New technologies (e.g., smartphones) are cheaper, allow more workers to be reached, and guarantee their anonymity. However, not all employees agree on the use of new technological interventions for the promotion of well-being. Consequently, organizations need to investigate technological acceptance before introducing these tools. By considering the technology acceptance model (TAM) framework, we investigate both the influence of workers’ perceived usefulness and ease of use on their intentions to use apps that help them managing work stress. Moreover, we contribute to the extension of this model by considering both personal (i.e., self-efficacy, personal innovativeness) and organizational (i.e., organizational support for innovation) variables. Our research involved 251 participants who completed an online self-report questionnaire. The results confirm the central hypothesis of the TAM and the influence of other variables that could influence acceptance of new technologies, such as apps that help manage work stress, and the intentions to use them. These results could help organizations ensure technological acceptance and usage by their workers, increasing the effectiveness of new technologies and interventions to promote well-being.

Quite Quitting (QQ), defined as employees' limited engagement with work and reluctance to take on extra or non-essential tasks, gained attention in the post-pandemic era. However, recent studies suggest that QQ might not represent an entirely novel phenomenon, indicating a need for further exploration to ensure coherent theoretical development. Through a scoping review, this paper aims to synthesize the literature on QQ, mapping its antecedents and consequences. Following the PRISMA guidelines, 22 articles sourced from Scopus, Web of Science, PsycINFO, and Econlit were analyzed using the Theory, Context, Characteristic, Method and the Nomological Network frameworks. The analysis of the articles, published between 2022 and 2024, revealed a growing interest in this topic. Although a universal definition did not emerge, common themes were identified across the several definitions provided: minimal effort, absence of formal resignation, prioritization of work-life balance, disengagement and coping with stress. Additionally, the nomological network showed occupational health factors, personal and job resources, work attitudes, behaviors, and risk factors as predictors of QQ. Well-being, burnout, and job satisfaction emerged as critical mediators in understanding QQ behaviors. Notably, the review identifies turnover intention as a primary outcome linked to QQ. However, most studies employed cross-sectional designs, underscoring the need for longitudinal research to confirm causal relationships. This scoping review is the first to thoroughly examine QQ, highlighting its complexities and emphasizing the need for further research to recognize QQ not merely as “an old trend in new clothing” but as a distinct phenomenon with unique challenges and potential benefits.

Background: There is compelling evidence to suggest that leadership behaviour and teamwork are critical success factors in healthcare organisations facing increasingly complex demands and limited resources. Effective teamwork is essential to deliver high-quality care, requiring integrating different professionals in the healthcare sector. Leaders play a significant role in facilitating teamwork by managing conflicts and promoting cooperation among team members. The COVID-19 pandemic has further highlighted the importance of leadership in supporting the mental health and well-being of team members. Methods: A cross-lagged research design was used to examine the relationship between mental health-specific (MHS) leadership and teamwork. Participants were 118 healthcare professionals (76.3% female; 44.9% aged between 45 and 54 years old). Results: A serial mediation model was confirmed, showing an indirect effect of mental health leadership on teamwork through interpersonal conflict and cooperation. Conclusions: Effective (MHS) leadership can positively impact the teamwork of healthcare professionals, particularly during times of crisis.

Work-related stress significantly jeopardizes employees’ physical and mental health due to the considerable time they spend at work. Smartphone-based interventions provide a promising solution, eliminating traditional face-to-face interventions’ barriers. However, the elements that influence workers’ intentions to use this still remain unexplored. This study explores the link between health belief model (HBM) and technology acceptance model (TAM) factors. In this study, 336 Italian workers (64% female) answered an online questionnaire. We employed a structural equation model (SEM) to analyze the data. The results unveiled an indirect relationship: individuals perceiving health risks were more inclined to use stress-management apps, mediated by perceived utility (PU). This study underscores the significant potential of integrating the HBM with the TAM in predicting users’ preparedness for smartphone-based health interventions. These findings not only hold substantial value but also illuminate a path forward for professionals and organizations, offering insights to tailor and optimize smartphone tools for stress management and the promotion of workplace well-being. Ultimately, this research paves the way for the cultivation of healthier work environments, marking a noteworthy contribution to the field.

Stress represents a significant risk factor for several psychophysical diseases among college students, such as depression and anxiety, which may undermine their academic functioning, resulting in high drop rates from college. Nevertheless, university services for mental health promotion are typically underutilized. As a result, professionals and authorities strive to find new ways to address students' mental health needs. In this view, mobile apps seem appropriate for well-being promotion interventions. Drawing on the Technology Acceptance Model (TAM), which is the most widely used theory on users' intention to use technologies, we assumed that perceived usefulness (PU) and perceived ease of use (PEOU) would be positively related to intention to use (INT), and PEOU would be positively related to PU among both Italian and German university students. To test our hypotheses, we replicated the same cross-sectional study in Italy (n = 255) and Germany (n = 228) with university students. Although we found partial scalar invariance of the TAM dimensions across the two nations, our predictions were only partially confirmed: PEOU was positively related to PU in the Italian sample only. Overall, this study is one of the first empirical attempts to compare TAM cross-nationally within the European context and it contributes to the small but increasing body of research investigating students’ acceptance of smartphone-based interventions for stress management and well-being promotion. Understanding mobile health acceptance could help universities increase students’ chances of adopting the proposed services, considering the factors influencing this choice.