Should I stay or should I go? The role of daily presenteeism as an adaptive response to perform at work despite somatic complaints for employee effectiveness.

Our study seeks to contribute to scholarly understanding of the antecedents and consequences of the crucial, but so far overlooked within-person daily fluctuations in presenteeism. Drawing on theoretical frameworks of presenteeism, which conceptualize presenteeism as an adaptive behavior to deliver work performance despite limitations due to ill-health, we develop a within-person model of daily presenteeism and examine somatic complaints and work-goal progress as crucial joint determinants of daily fluctuations in presenteeism. We further integrate the aforementioned theoretical frameworks with ego-depletion theory to argue that presenteeism requires self-regulation to suppress cognitions, emotions, and behavioral responses associated with ill-health and instead focus on completing one's work tasks. Accordingly, we predict that presenteeism depletes employees' regulatory resources and impairs employees' next-day work engagement and task performance. The results of a daily-diary study across 15 workdays with N = 995 daily observations nested in N = 126 employees show that daily work-goal progress attenuates the daily relation between somatic complaints and presenteeism, thereby also reducing the indirect effect of somatic complaints on employees' next-day work engagement and task performance through presenteeism and ego depletion. We discuss the theoretical and practical implications of shifting presenteeism research from the macro- to the micro-level. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Stop and go, where is my flow? How and when daily aversive morning commutes are negatively related to employees' motivational states and behavior at work.

Despite convincing evidence about the general negative consequences of commuting for individuals and societies, our understanding of how aversive commutes are linked to employees' effectiveness at work is limited. Drawing on theories of self-regulation and by extension a conservation of resources perspective, we develop a framework that explains how an aversive morning commute-a resource-depleting experience characterized by interruptions of automated travel behaviors-impairs employees' immersion in uninterrupted work (i.e., flow), which in turn reduces employee effectiveness (i.e., work engagement, subjective performance, and OCB-I). We further delineate theoretical arguments for daily self-control demands as a boundary condition that amplifies this relation and propose the satisfaction of employees' basic needs as protective factors. Two diary studies across 10 workdays each (Study 1: 53 employees, 411 day-level data points; Study 2: 91 employees, 719 day-level data points) support most of our hypotheses. Study 1 demonstrates that daily aversive morning commutes negatively affect employees' daily work engagement through lower levels of flow experiences, but only on days with high impulse control demands. In addition, we find initial support that employees' general autonomy and competence needs satisfaction attenuate this interaction. Study 2 rules out alternative mechanisms (negative affect and tension), demonstrates ego depletion as an additional mediator of the relation between aversive morning commutes and work effectiveness, and replicates the hypothesized three-way interaction for daily competence need satisfaction. We critically discuss the findings and reflect on corporate interventions, which may allow people to more easily flow to and at work. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Predicting Air Traffic Controller Workload: Trajectory Uncertainty as the Moderator of the Indirect Effect of Traffic Density on Controller Workload Through Traffic Conflict.

OBJECTIVE: Our study investigates whether trajectory uncertainty moderates the relationship between traffic conflict and workload. Furthermore, we examine if the indirect effect of traffic density on workload through traffic conflict is conditional on the presence of trajectory uncertainty. BACKGROUND: Although it is widely accepted that uncertainty related to the future trajectory of an aircraft impacts air traffic controller decision making, little is known about how the presence of trajectory uncertainty impacts controller workload. A better understanding of the impact on controller workload can improve workload prediction models for en route air traffic control. METHOD: We collected data in a live operation environment, including workload ratings based on over-the-shoulder observations and real-time sector data. Hierarchical linear modeling was used to analyze the data. RESULTS: Trajectory uncertainty interacts with traffic conflict in such a way that the positive relationship between traffic conflict and workload is strongest in the presence of trajectory uncertainty. Furthermore, we found that the mediating effect of traffic density through traffic conflict is conditional on the presence of trajectory uncertainty. CONCLUSION: Our results indicate that workload prediction tools that do not incorporate trajectory uncertainty may underestimate workload under conditions of trajectory uncertainty, leading to possible overload situations of air traffic controllers. APPLICATION: Sources that generate trajectory uncertainty, as well as their interaction effects with dynamic complexity metrics, should be acknowledged in workload prediction models to increase the predictive power of these models. Implications for future air traffic management operations as envisioned by SESAR and NextGen are discussed.