Aim: The aim of this study was to examine the relationship between organizational, supervisor, and coworker support, as perceived by registered nurses and their boundary-spanning behaviors. Furthermore, this article examines the mediating role of the affective organizational commitment of nurses in these relationships. Background: Registered nurses play a key role in hospitals, as they have an important impact on the quality of the services delivered. For nurses to perform at their best, they need organizational, leader, and coworker support. To date, few studies have explored the link between nurses’ perceived support, affective organizational commitment, and boundary-spanning behaviors. Methods: This cross-sectional research used a questionnaire survey to explore the hypothesized relationships in a sample of 273 nurses from a hospital in Belgium. Structural equation modeling was used for statistical analysis of the mediation model. Results: One hundred forty-seven (53.5%) nurses responded to the survey. Perceived support from the organization, supervisors, and coworkers positively influences nurses’ boundary-spanning behaviors. Affective organizational commitment was found to mediate the positive relationship between perceived organization support, perceived coworker support, and boundary-spanning behaviors. Perceived supervisor support and boundary-spanning behaviors showed a direct relationship not mediated by affective organizational commitment. Conclusions: Perceived support has an important influence on the boundary-spanning behavior of nurses. This study emphasizes the importance on how support exerts an influence on boundary-spanning behavior and underscores the importance of affective organizational commitment. Health care organizations, supervisors, and coworkers are essential in fostering boundary-spanning behaviors of nurses, both directly and through the development of affective organizational commitment. These actors should therefore be aware of the way they behave and the implications their behavior may have.

<b><i>Background:</i></b> Over the past few years, various new types of technologies have been introduced, which have been tailored to meet the specific needs of older adults by incorporating gerontological design principles (i.e., “gerontechnologies“). However, it has been difficult to motivate older adults to adopt and use these new technologies. Therefore, it is crucial to better understand not only the role of personal drivers but also the family influences on older adults. <b><i>Objective:</i></b> This research goes beyond traditional technology acceptance theories by investigating the role of personal (e.g., inherent novelty seeking) and interpersonal drivers (e.g., influence of family) in stimulating older adults to use gerontechnologies. Nine hypotheses, building on traditional and new technology acceptance theories, were developed and tested. <b><i>Methods:</i></b> This research applies a cross-sectional study design. Therefore, a face-to-face survey instrument was developed building on a qualitative pilot study and validated scales. Three hundred and four older adults (minimum age = 70 years) were willing to participate as well as one of their family members. Structural equation modeling was applied to analyze the hypothesized conceptual model. <b><i>Results:</i></b> Our results extend the seminal technology acceptance theories by adding personal (i.e., inherent novelty seeking <i>p</i> = 0.017) and interpersonal drivers. More specifically, it was found that the attitude toward gerontechnologies was influenced by family tech savviness (i.e., people who often use technology), as this relationship is fully mediated through the social norms of older adults (<i>p</i> = 0.014). The same was found for older adults’ trust in the family member’s technology knowledge (<i>p</i> ≤ 0.001). Here, the relationship with older adults’ attitude toward gerontechnologies was partially mediated by the older adults’ trust in technology. <b><i>Conclusion:</i></b> This study identified important personal and interpersonal drivers that influence attitudes toward and intentions to use gerontechnologies. To foster technology acceptance among older adults, it was found that it is important to strengthen the trust in and the attitude toward gerontechnologies. Furthermore, family members’ knowledge and beliefs in technology were the keys to promoting the actual use of gerontechnologies among older adults. Furthermore, the families’ trust in gerontechnologies and the provision of access to technology can improve their attitudes toward technology and usage intentions for the older relative.

Background The last decade has seen a considerable increase in the number of mobile health (mHealth) apps in everyday life. These mHealth apps have the potential to significantly improve the well-being of chronically ill patients. However, behavioral engagement with mHealth apps remains low. Objective The aim of this study was to describe the behavioral engagement of chronically ill patients with mHealth apps by investigating (1) how it is affected by social factors (ie, physician recommendation) and app-related factors (ie, app integration) and (2) how it affects patient well-being. This study also considers the moderating effect of attachment to traditional health care and the mobile app experience among patients. Methods We carried out a scenario-based survey study of chronically ill patients (N=521). A Bayesian structural equation modeling with mediation and moderation analysis was conducted in MPlus. Results Both physician recommendations for mHealth app use and app integration have positive effects on the behavioral engagement of chronically ill patients with mHealth apps. Higher behavioral engagement positively affects the hedonic well-being (extent of pleasure) and the eudaemonic well-being (extent of self-efficacy) of chronically ill patients. Mobile app experience, however, positively moderates the relationship between app integration and behavioral engagement, whereas patient attachment to traditional care does not moderate the relationship between physician recommendation and behavioral engagement. Taken together, the proportion of variance explained (R²) equals 21% for behavioral engagement and 52.8% and 62.2% for hedonic and eudaemonic well-being, respectively, thereby providing support for the strong influence of app integration and physician recommendation via the mediation of the patients’ behavioral engagement on both patients’ hedonic and eudaemonic well-being. Conclusions Physician recommendation and app integration enable behavioral engagement and promote well-being among chronically ill patients. It is thus important to take social and app-related factors into consideration during and after the development of mHealth apps.