Hybrid work has become a widespread organizational practice, yet employees’ experiences remain highly heterogeneous. Adopting a person-oriented perspective, this study examines whether employees’ perceptions of hybrid work resources are associated with distinct patterns of team-related processes. Drawing on the Quality of Telework (QoT) framework, hybrid work quality is conceptualized as a configurational phenomenon in which multiple resources co-occur within individuals rather than operating independently. Using latent profile analysis on data from 719 hybrid workers across four organizations, we identified four distinct profiles based on key QoT resources (i.e., remote and office-based workstations, flextime, and enabling management). These profiles differed systematically in team identification, knowledge sharing, collective self-efficacy, satisfaction with hybrid teamwork, and perceived team efficiency. The findings suggest that hybrid work experiences form qualitatively distinct patterns, with more balanced configurations of resources associated with more positive perceptions of team functioning. By focusing on configurations rather than isolated predictors, this study contributes to extending the QoT framework and demonstrates the value of person-oriented approaches for capturing heterogeneity in contemporary work contexts. More broadly, the results highlight how combinations of work-related conditions are linked to different experiential patterns, offering a more nuanced understanding of hybrid work and its implications for team-related processes.
This article reports a subject-specific, within-person self-study of personality-related language in one participant-author's predominantly professional email archive (2008-2024; n = 25,780). The aim is not between-person prediction or human-parity benchmarking, but idiographic description of one person's profile and temporal dynamics across Self-Determination Theory, the Big Five, and Psychological Well-Being. Email texts were coded with two LLM-assisted workflows – prompted GPT-3.5 ratings and a GPT-4.1 teacher distilled into compact multilingual transformer students – with cross-model comparisons treated as robustness checks. Email-level labels were aggregated into monthly balance indices on a common [-100, 100] scale. Within-person profile correspondence with contemporaneous self-report reference profiles was examined on POMP-aligned scales, and monthly shifts across pre-specified major personal and occupational periods were estimated using HAC-robust regressions with FDR control. Across frameworks, the archive yielded interpretable subject-specific patterns: email-derived profiles partly approximated the self-report reference shape while also reflecting the professional register, and month-level indices shifted in theory-coherent ways across salient periods. The findings support de-identified digital traces as state-sensitive adjuncts for person-oriented research on one individual's functioning over time. The results do not warrant between-person inference, and self-reports remain the primary reference for trait baselines.
Background: Emerging adulthood is a critical period for the adoption of health behaviours. This study aimed to identify distinct lifestyle profiles among university students using a person-oriented approach and to examine their associations with psychological wellbeing, stress, anxiety, and depression. Methods: In this cross-sectional study, 2,078 students (aged 18–39) from the University of Torino provided data on six lifestyle indicators: sedentary behaviour, diet, sleep, alcohol, sport, and smoking. Cluster analysis (Partitioning Around Medoids) was used to identify profiles. Differences in psychological outcomes (WEMWBS, PSS-10, HADS) were assessed using ANCOVA, adjusting for age and gender. Results: Four profiles were identified: Active–Healthier (29%), Sedentary–Sporty (17.6%), Sedentary–Non-sporty (25.7%), and Active–Riskier (27.7%). Sedentary behaviour showed the strongest differentiation across profiles (Cramér’s V = 0.789). After adjustment for age and gender, lifestyle profile membership was significantly associated with wellbeing, perceived stress, anxiety, and depressive symptoms (all p < .001), although effect sizes were small (partial η² = 0.009–0.016). The Active–Healthier profile showed the most favourable psychological pattern, whereas differences among the remaining three profiles were not statistically significant. Conclusion: Health-related behaviours co-occur in multidimensional patterns among university students. Person-oriented profiling may help universities move beyond generic health promotion towards more targeted interventions that jointly address physical and mental health.
In this book, Metzinger develops a theory of pure consciousness, while presenting empirical findings from more than 500 experiential reports from practitioners of meditation. Pure consciousness is what we experience when we attend to awareness itself – when attention is refocused to the normally unnoticed medium through which we experience the world. The practice of meditation is likely to facilitate this kind of refocusing of attention from the world to awareness itself. Metzinger’s book is very rich both in descriptions of experiences reported by practitioners of meditation and in thought-provoking theoretical analyses and hypotheses about the nature of conscious experience. In this review, I also raise some critical points regarding aspects of Metzinger’s model and suggest some alternative and complementary perspectives.
Numerous reviews have indicated that happiness and performance do not necessarily align in the educational field. Building upon the happy-productive worker thesis (HPWT), but extending its scope, we argue that a person-centered approach may help to explain conflicting results and null findings reported in this literature. To test this proposition, we examined multiple operationalisations of well-being and performance, encompassing both positive and negative valences, and analysed how these operational choices affect the configuration and stability of worker profiles. Data were collected from 1,797 education workers (76.9% women) using validated self-report measures of well-being (positive and negative affect), job performance, and presenteeism. Cluster analyses were conducted using a combination of model-based and k-means procedures to identify patterns of synergy and antagonism between well-being and performance. Cluster stability across alternative operationalisations was assessed using the Adjusted Rand Index (ARI). Results support a four-pattern model of relationships between the constructs (happy-productive, unhappy-unproductive, happy-unproductive, and unhappy-productive). However, the distribution of the sample of educational workers across clusters, and the predominance of patterns, differed depending on how performance and well-being were operationalised (positive or negative valences). Cluster stability across operationalisations was low, as indicated by ARI values ranging from .196 to .381. Moreover, some person-related variables (age and sex) accounted for cluster belongingness when well-being was operationalised negatively (negative affect), but not positively (positive affect). These results extend previous research on the relationship between performance and well-being in the HPWT literature. They question the uniqueness of the synergetic hypothesis and highlight the importance of considering the polyhedral nature of both concepts, particularly their positive or negative valence.
