Thriving at work refers to a positive psychological state characterized by a joint sense of vitality and learning. On the basis of Spreitzer and colleagues' model, we present a comprehensive meta-analysis of antecedents and outcomes of thriving at work (K = 73 independent samples, N = 21,739 employees). Results showed that thriving at work is associated with individual characteristics, such as psychological capital (r c = .47), proactive personality (r c = .58), positive affect (r c = .52), and work engagement (r c = .64). Positive associations were also found between thriving at work and relational characteristics, including supportive coworker behavior (r c = .42), supportive leadership behavior (r c = .44), and perceived organizational support (r c = .63).Moreover, thriving at work is related to important employee outcomes, including health-related outcomes such as burnout (r c = −.53), attitudinal outcomes such as commitment (r c = .65), and performance-related outcomes such as task performance (r c = .35). The results of relative weights analyses suggest that thriving exhibits small, albeit incremental predictive validity above and beyond positive affect and work engagement, for task performance, job satisfaction, subjective health, and burnout.Overall, the findings of this meta-analysis support Spreitzer and colleagues' model and underscore the importance of thriving in the work context.
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Summary
Thriving at work refers to a positive psychological state characterized by a joint sense of vitality and learning. On the basis of Spreitzer and colleagues' model, we present a comprehensive meta‐analysis of antecedents and outcomes of thriving at work (K = 73 independent samples, N = 21,739 employees). Results showed that thriving at work is associated with individual characteristics, such as psychological capital (rc = .47), proactive personality (rc = .58), positive affect (rc = .52), and work engagement (rc = .64). Positive associations were also found between thriving at work and relational characteristics, including supportive coworker behavior (rc = .42), supportive leadership behavior (rc = .44), and perceived organizational support (rc = .63). Moreover, thriving at work is related to important employee outcomes, including health‐related outcomes such as burnout (rc = −.53), attitudinal outcomes such as commitment (rc = .65), and performance‐related outcomes such as task performance (rc = .35). The results of relative weights analyses suggest that thriving exhibits small, albeit incremental predictive validity above and beyond positive affect and work engagement, for task performance, job satisfaction, subjective health, and burnout. Overall, the findings of this meta‐analysis support Spreitzer and colleagues' model and underscore the importance of thriving in the work context.
Objectives. Social-cure research has shown that ingroup identification can be beneficial for personal health and well-being. Initial evidence for healthy participants suggests that this might be due to group membership providing a sense of personal control. In this research, we investigate this pathway for chronically ill patients, assuming that any ingroup (even patient identity) can serve as social cure by increasing control as long as the ingroup is perceived as agentic (i.e., effective).Design. We conducted six correlational field studies with patients suffering from different chronic conditions, e.g., cancer (N total = 795).Methods. All participants were asked about one specific ingroup, e.g., their self-help group. Our main measures were ingroup identification, ingroup agency, personal control and well-being, as well as self-esteem and social support (both discussed as alternative mediators). We performed simple mediation and/or moderated mediation analyses for each study and across studies (merging Studies 2-6).Results. Overall, the impact of ingroup identification on personal well-being was uniquely mediated via personal control (Studies 1, 2, 3, 6) but, as expected, only for those perceiving their ingroup as highly agentic (Studies 4, 5, 6).Conclusions. Ingroup agency is a boundary condition for the control-based pathway of the social cure effect supporting the model of group-based control. This has practical implications for clinical interventions with chronically ill patients.
The review provides an overview of AI-enabled precision psychiatry tools published between 2015 and mid-October 2022. Multiple analytic approaches, such as graphic network analysis and topic modeling, are used to analyze the scope, content, and trends of the retained patents. The included patents aim to provide diagnosis, prediction of treatment responses, and prognosis of mental disorder symptoms. Additionally, about one-third of the tools described in the patents suggest treatment options related to selection, adjustment, and management. Data sources include behavioral data collected through mobile devices, neuroimaging, and electronic health records. The complexity of technology convergence, as represented by the co-occurrence of different Cooperative Patent Classification codes, has increased over the years. The topic modeling results illuminate the current scope and potential future developments of the patents. Moreover, the most impactful patents per year are identified and described, including citing patents and commercialized products. This review highlights the potential of AI-enabled precision psychiatry tools for adoption in practice and the development of new techniques.
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