Silvia Simbula’s research while affiliated with Università degli Studi di Milano-Bicocca and other places

Aim(s) To explore the day‐level interactions between challenge and hindrance job demands and their effects on work engagement and emotional exhaustion among healthcare professionals, focusing on the moderating role of resilience. Design A longitudinal, diary‐based design was employed. Methods This study utilised a multilevel modelling approach to analyse 351 diary entries from 85 healthcare professionals, collected during the COVID‐19 pandemic (in March–April 2021). Participants recorded their daily experiences, including job demands, work engagement, emotional exhaustion and resilience. Results Challenge demands, such as increased workload, are associated with both higher work engagement and greater emotional exhaustion, highlighting a dual impact. Resilience moderated these effects, reducing the negative impacts of both challenge and hindrance demands on emotional exhaustion. Surprisingly, higher resilience also diminished the positive relationship between effort and engagement. Conclusion The study highlights the critical role of resilience in moderating the effects of job demands on healthcare workers' well‐being, particularly under the stressful conditions of a global pandemic. Implications for the Profession and/or Patient Care Insights from this study can assist healthcare organisations in developing strategies to enhance employee resilience and effectively manage job demands. Improved management of these factors can lead to better employee well‐being and sustained engagement, ultimately benefiting patient care during high‐stress periods. Impact The study addressed the impact of daily job demands on the well‐being and performance of healthcare workers during the COVID‐19 pandemic. The main findings highlighted the dual effects of challenge demands and the protective role of resilience in mitigating the adverse effects of job demands. This research will impact healthcare organisations and policymakers, informing strategies to bolster workforce resilience and well‐being, thereby potentially enhancing patient care during crises. Reporting Method We adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. Patient or Public Contribution Neither patients nor the public were involved in the design, conduct, reporting or dissemination plans of our research. Healthcare professionals participated only as research subjects and did not engage in any aspect of the research process.

In recent years, increasing attention has been paid to identifying new approaches to improve workplace well-being and manage stress with the help of m-health solutions. The primary purpose of this review is to provide an overview of the current use of smartphone applications integrated with wearable technologies in stress management and the promotion of well-being in the workplace. A key terms literature search was performed using multiple electronic databases. The review process followed the international PRISMA statement guidelines. A quality assessment was conducted using the Mixed Methods Appraisal Tool. A total of 25 eligible papers published between 2016 and 2023 were included. Interventions proposed were heterogeneous and primarily based on smartphone applications (72%). 84% of the interventions had background theories, with a high preference for Mindfulness. Interventions were reported as generally significant, and the combined use of smartphone applications and wearable technologies increased awareness at the individual and collective levels. In conclusion, the review demonstrates how the interventions developed through the synergy of technologies can effectively promote well-being and reduce stress in the workplace context, decreasing the stigma still related to mental health and increasing peer support strategies. This work opens the doors to several possibilities for future research. It could be interesting to indagate more in-depth the value of integration between technologies and, eventually, the integration with more traditional type of interventions, e.g., face-to-face activities, evaluating if this synergy can amplify and strengthen the results. Protocol registration: The review protocol was registered with PROSPERO: CRD42023423126 (May 2nd, 2023).

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.

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. In the present study, we aimed to integrate the Technology Acceptance Model theoretical framework (Davis, 1989) by exploring the effects of some possible factors that influence the willingness to adopt digital learning tools in the future when the pandemic is over. Among them, technostress was considered one of the external factors that could have adversely affected digital teaching technology adoption in the future. In contrast, the perception of technical support offered by the university was considered a potential protective factor. A total of 463 Italian university faculty completed an online questionnaire at the end of the first semester (a.y. 2020-21). The frequency of distance teaching technologies usage behavior was measured objectively by extracting teachers' activities from the University's e-learning databases. Key findings indicated that distance teaching technologies' frequency of use increased technostress, which in turn negatively impacted the perception of ease of use. The latter influences - both directly and indirectly through perceived usefulness - the intentions to adopt distance learning tools after the pandemic. Organizational support negatively predicted technostress. Implications to help public institutions develop functional strategies to cope with the technological changes brought by the pandemic are discussed.

Starting from the insights of social identity theory and social exchange theory, the present study aimed to understand how social support and organizational identification relate to work engagement. Moreover, it sought to verify if social support and organizational identification interact with each other to explain work engagement three months later. A longitudinal study was conducted on a sample of 150 employees, in which organizational identification, social support, and work engagement were measured through a questionnaire. The results show that when employees can count on their supervisors’ and colleagues’ support, they will be more engaged in their work. In addition, when an employee strongly identifies with their organization, the employee’s evaluation of the social support received from colleagues and supervisors becomes less critical in determining their work engagement. These results confirm our hypotheses and extend the findings of previous research on withdrawal behaviors. From a practical point of view, it seems important for organizations to invest in increasing identification, as well as in building a high-quality social exchange relationship, especially when levels of organizational identification are low or decreasing.

The coronavirus disease 2019 (COVID‐19) forced organisations to implement intensive telework for many of their workers overnight. This scenario was completely new, and the emergency caused by COVID‐19 created the possibility of experimenting with new ways of working with an unknown impact on employee well‐being. Drawing on previous literature, we defined a model of telework quality consisting of the following four core domains: agile offices within organisations, functional remote workstations, flex‐time and engaging management. We identified two high‐quality and low‐quality telework profiles using latent profile analysis on a data sample of 2295 insurance and financial sector employees. Demographic, occupational and procedural characteristics were associated with the probability of being in the positive or negative profiles. Our results showed that employees' emotional exhaustion and work engagement levels were related to telework quality. This study suggests that organisations need to consider the quality of telework to effectively adopt new ways of working that foster employee well‐being.

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.

Digital contact tracing apps have been introduced by governments as a strategy to limit the spread of the COVID-19 pandemic. Digital contact tracking is an alternative to traditional contact tracing performed by human tracers who have to reconstruct each contact an infected person had in the recent past by means of interviews. The Italian government proposed the Immuni digital contact tracking app as a solution. Immuni uses Bluetooth technology to anonymously register all close contacts a person had: if she tests positive for COVID-19 then all registered contacts are notified. The main aim of the paper is to propose a cluster analysis of some factors concerning the possible acceptance of the Immuni app to build behaviour profiles that explain and predict the possible behaviours of the respondents. The factors considered referred to three different pillars: the technological pillar, investigated by considering factors from the technology acceptance models family; the health pillar, where variables of the health belief model were used; and the sociopolitical pillar, where some values of the respondents were considered as possible barriers to or facilitators of the acceptance of this technology. As a result of the cluster analysis, three behavioural profiles were built: the ProApp profile, the Hesitant profile, and the AntiApp profile. The first is the profile grouping the respondents who intend to use the contact tracing app; the second is more about people who are favourable of the use of the app, but some issues such as privacy reduce the strength of their intention; the last profile is about people who are less favourable to use the app. We are confident that the behaviour profiles found would be useful to build more tailored communication campaigns to help promote the use of the app by managing factors that could either be facilitators or barriers.