An automated content-based measure of closed loop communication among critical care air transport teams.

Successful teamwork is essential to ensure critical care air transport (CCAT) patients receive effective care. Despite the importance of team performance, current training methods rely on subjective performance assessments and do not evaluate performance at the team level. Researchers have developed the Team Dynamics Measurement System (TDMS) to provide real-time, objective measures of team coordination to assist trainers in providing CCAT aircrew with feedback to improve performance. The first iteration of TDMS relied exclusively on communication flow patterns (i.e., who was speaking and when) to identify instances of various communication types such as closed loop communication (CLC). The research presented in this paper significantly advances the TDMS project by incorporating natural language processing (NLP) to identify CLC. The addition of NLP to the existing TDMS resulted in greater accuracy and fewer false alarms in identifying instances of CLC compared to the previous flow-based implementation. We discuss ways in which these improvements will facilitate instructor feedback and support further refinement of the TDMS.

Planes, Trains, and Automobiles: Commuting in the 2020s and Beyond.

In this introduction to the special issue about commuting, we invite readers to consider how this frequently occurring worker activity should be integrated and investigated within the organizational sciences. Commuting is ubiquitous in organizational life. Yet, despite this centrality, it remains one of the most understudied topics in the organizational sciences. This special issue seeks to remedy this oversight by introducing seven articles that review the literature, identify knowledge gaps, theorize through an organization science lens, and provide directions for future research. We introduce these seven articles by discussing how they address three cross-cutting themes (Challenging the Status Quo, Insights into the Commuting Experience, The Future of Commuting). We hope that the work within this special issue informs and inspires organizational scholars to engage in meaningful interdisciplinary research on commuting going forward.

Needs-based off-job crafting across different life domains and contexts: Testing a novel conceptual and measurement approach.

Shaping off-job life is becoming increasingly important for workers to increase and maintain their optimal functioning (i.e., feeling and performing well). Proactively shaping the job domain (referred to as job crafting) has been extensively studied, but crafting in the off-job domain has received markedly less research attention. Based on the Integrative Needs Model of Crafting, needs-based off-job crafting is defined as workers' proactive and self-initiated changes in their off-job lives, which target psychological needs satisfaction. Off-job crafting is posited as a possible means for workers to fulfill their needs and enhance well-being and performance over time. We developed a new scale to measure off-job crafting and examined its relationships to optimal functioning in different work contexts in different regions around the world (the United States, Germany, Austria, Switzerland, Finland, Japan, and the United Kingdom). Furthermore, we examined the criterion, convergent, incremental, discriminant, and structural validity evidence of the Needs-based Off-job Crafting Scale using multiple methods (longitudinal and cross-sectional survey studies, an "example generation"-task). The results showed that off-job crafting was related to optimal functioning over time, especially in the off-job domain but also in the job domain. Moreover, the novel off-job crafting scale had good convergent and discriminant validity, internal consistency, and test-retest reliability. To conclude, our series of studies in various countries show that off-job crafting can enhance optimal functioning in different life domains and support people in performing their duties sustainably. Therefore, shaping off-job life may be beneficial in an intensified and continually changing and challenging working life.

Overcoming Clinician Technophobia: What We Learned from Our Mass Exposure to Telehealth During the COVID-19 Pandemic.

Mental health clinicians have migrated to telehealth during the COVID-19 pandemic and have reported their use of telehealth may be permanent. Understanding how stakeholders overcame hesitancy regarding the use of telehealth can potentially reveal how stakeholders can adopt future clinical technologies. The exposure therapy conceptual framework provides one explanation of how mental health clinicians can face their concerns about technologies that promise to improve clinical outcomes and worker well-being. We review available literature published since the start of the pandemic on the extent to which clinicians migrated to telehealth and their reactions to their transitions. In particular, we review available literature that describes negative attitudes and worries by clinicians as one of many barriers of telehealth implementation. We introduce the perspective that the necessary transition to telehealth at the start of the pandemic functioned as an exposure exercise that changed many clinicians' cognitive and emotional reactions to the use of telehealth technologies. Next, we provide guidance on how clinicians can continue taking an exposure approach to learning emerging technologies that are safe and can benefit all stakeholders. Clinicians can now reflect on how they overcame hesitancy regarding telehealth during the pandemic and identify how to build on that new learning by applying strategies used in exposure therapy. The future of clinical work will increasingly require mental health clinicians to better serve their patient populations and enhance their own well-being by overcoming technophobia, a broad term for any level of hesitancy, reluctance, skepticism, worry, anxiety, or fear of implementing technology.

Understanding Team Learning Dynamics Over Time.

Organizations depend on the learning capabilities of teams in order to be competitive in today's information-laden business landscape. Hence, it is not surprising that there have been tremendous efforts made to understand team learning within the past two decades. These efforts, however, have produced a cluttered literature-base that overlooks a fundamental aspect of team learning: How do teams learn over time? In this paper, we first synthesize the literature to develop a shared vocabulary to understand team learning dynamics. We then leverage research investigating how teams operate within the context of time (e.g., team development, performance cycles, emergent state development) and combine it with the extant team learning literature in developing an unfolding model of team learning. This comprehensive model addresses a noticeable gap in the extant literature by illustrating how teams learn over time. Finally, we put forth three grand challenges for the future of team learning research.

Relative sensitivity of cortisol indices to psychosocial and physical health factors.

OBJECTIVE: Regulation of cortisol under resting conditions is widely used to assess physical and psychological status, but due to the diversity of possible assessments (e.g., cumulative levels; diurnal patterns), considering one or a few at a time hampers understanding and interpretation. Moreover, most studies of cortisol regulation focus on negatively-valanced experiences. This study examined the inter-correlations among cortisol indices and their relative contribution to the explained variance in diverse psychosocial and health factors, including positive functioning. METHODS: Data are from midlife and older adults (N = 513; 47.2% male). Cortisol was assessed in urine (overnight) and saliva (at rest and over 4 consecutive days). Positive and negative psychosocial and health factors were assessed by self-report. In addition to examining associations among cortisol indices, relative weight analysis was used to determine which indices were most robustly linked to specific psychosocial factors. RESULTS: Inter-correlations among indices were weak-to-moderate, suggesting that they measure different aspects of hypothalamic-pituitary-axis activity. Overall variance in psychosocial and health factors (R2) explained by the cortisol indices ranged from 0.01 to 0.07. Of this explained variance, relative weight analysis showed that waking cortisol contributed most to the variance in hedonic well-being (32.1%-38.2%), bedtime cortisol to depression-related factors (32.1%-46.9%), the cortisol awakening response to eudaimonic well-being (35.8%-50.5%), cortisol slope to perceived stress (29.2%), and urinary cortisol to physical factors (38.5% and 62.7%). CONCLUSIONS: Positive and negative factors were related to largely non-overlapping cortisol indices. This study illuminates nuanced associations among cortisol indices and diverse aspects of mental and physical health, facilitating thoughtful examination of the complex role of hypothalamic-pituitary-axis activity in health.

The Role of Affect on Physical Health Over Time: A Cross-Lagged Panel Analysis Over 20 Years.

BACKGROUND: While previous studies have investigated the interplay between affect and health (1) over an extended period of time, (2) in a representative population, and (3) while modelling positive and negative affect simultaneously, no single study has done all three at once. METHODS: The present study accomplishes this by sampling adults from the Midlife Development in the US study who completed affect (Mroczek & Kolarz, 1998) and health measures (chronic conditions, Charlson, Szatrowski, Peterson, & Gold, 1994; functional limitations, McHorney, Ware, Lu, & Sherbourne, 1994; self-reported health) measured three times over 20 years. We ran three (one per health metric) random-intercept cross-lagged panel models, where positive and negative affect were modelled simultaneously. RESULTS: Results indicated that positive and negative affect significantly predicted future heath (functional limitations/self-reported health) and that this relationship was reciprocal (i.e. health measures predicted future affect). However, there were no significant cross-lagged relations between affect and chronic conditions. CONCLUSION: Our results suggest that both positive and negative affect play an equal role in predicting future health for functional limitations and self-reported health as well as highlight the bi-directionality of this relationship. Additionally, the degree to which affect predicts future health may be moderated by the type of health outcome.

Measuring Thriving across Nations: Examining the Measurement Equivalence of the Comprehensive Inventory of Thriving (CIT) and the Brief Inventory of Thriving (BIT).

BACKGROUND: Positive psychological health is a multifaceted construct and fundamental to individuals' overall mental health. Yet, measures of positive psychological health tend to focus on only a few of these facets. Su, Tay, and Diener () sought to address this by creating the Comprehensive and Brief Inventories of Thriving (CIT/BIT), integrative measures of well-being that assess positive psychological health broadly. METHOD: Given growing interest in cross-national comparisons in positive psychological health, the present study expands on this work by examining the measurement invariance of these two measures across 10 countries (N = 3,077). First, a series of single-group confirmatory analyses were run to assess how well the CIT/BIT fit data from each country. Next, multi-group confirmatory analyses were run to assess measurement invariance. RESULTS: Single-group confirmatory factor analysis supported the original 18-factor structure of the CIT when compared to alternative models (single factor, seven factor, bi-factor model) in seven of the 10 countries and the single-factor structure of the BIT across all countries. Results from the measurement invariance analysis indicated partial scalar invariance for the remaining seven countries on the CIT as well as partial scalar invariance across all countries for the BIT. CONCLUSION: The present study extends the initial work by Su et al. () by providing evidence of the measurement invariance of the comprehensive and brief inventories of thriving across cultures. Although the factor structure of the CIT was inadmissible in three countries, the results provide a crucial first step for those interested in comparing positive psychological health across nations. Research in both using these measures and cross-cultural comparisons on positive psychological health is growing. We hope that the current efforts help facilitate this work towards furthering the understanding of positive psychological health.

Too much of a good thing? Exploring the inverted-U relationship between self-control and happiness.

OBJECTIVE: Can having too much self-control make people unhappy? Researchers have increasingly questioned the unilateral goodness of self-control and proposed that it is beneficial only up to a certain point, after which it becomes detrimental. The little empirical research on the issue shows mixed results. Hence, we tested whether a curvilinear relationship between self-control and subjective well-being exists. METHOD: We used multiple metrics (questionnaires, behavioral ratings), sources (self-report, other-report), and methods (cross-sectional measurement, dayreconstruction method, experience sampling method) across six studies (Ntotal = 5,318). RESULTS: We found that self-control positively predicted subjective well-being (cognitive and affective), but there was little evidence for an inverted U-shaped curve. The results held after statistically controlling for demographics and other psychological confounds. CONCLUSION: Our main finding is that self-control enhances subjective well-being with little to no apparent downside of too much self-control.