The master's thesis examines the relationships among time perspectives, workaholism, burnout, and psychological capital among employees. Time perspectives were assessed across all six dimensions of the Swedish version of the Zimbardo Time Perspective Inventory (S-ZTPI; Carelli et al., 2011). Although individual links between these constructs have already been established in the literature, few studies have examined them together within a single model. Data were collected using self-report questionnaires from employees with at least one year of work experience: in addition to the S-ZTPI, participants completed the Multidimensional Workaholism Scale (Clark et al., 2020), the Burnout Assessment Tool (Schaufeli et al., 2020), and the Psychological Capital Questionnaire (Luthans et al., 2007). Relationships among the variables were examined using correlation analysis and hierarchical regression, while the role of psychological capital was further tested through mediation and moderation analysis. Negative future positively predicted workaholism, whereas hedonistic present showed no significant association with workaholism. Burnout was positively related to negative past, fatalistic present, and negative future, with the latter showing the strongest association. Psychological capital was consistently negatively related to both outcomes and mediated the relationship between all six time perspective dimensions and burnout, and partially mediated this relationship for workaholism. A moderating role of psychological capital was confirmed only for the relationship between positive future and burnout, but not for the other dimensions or for workaholism. The results indicate that the relationships among time perspectives, workaholism, and burnout are largely indirect, operating through an individual's level of psychological resources, suggesting that strengthening psychological capital in the workplace could reduce the risk of both outcomes. At the same time, the results confirm that awareness of an individual's time perspective is important for identifying this risk.
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