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Many occupational settings require individuals to make important decisions immediately after awakening. Although a plethora of psychological research has separately examined both sleep and anchoring effects on decision-making, little is known about their interaction. In the present study, we seek to shed light on the link between sleep inertia, the performance impairment immediately after awakening, and individuals' susceptibility to the anchoring bias. We proposed that sleep inertia would moderate participants' adjustment from anchors because sleep inertia leads to less cognitive effort invested, resulting in a stronger anchoring effect. One hundred four subjects were randomly assigned to an experimental group that answered anchoring tasks immediately after being awakened at nighttime or a control group that answered anchoring tasks at daytime. Our findings replicated the well-established anchoring effect in that higher anchors led participants to higher estimates than lower anchors. We did not find significant effects of sleep inertia. While the sleep inertia group reported greater sleepiness and having invested less cognitive effort compared to the control group, no systematic anchoring differences emerged, and cognitive effort did not qualify as a mediator of the anchoring effect. Bayesian analyses provide empirical evidence for these null findings. Implications for the anchoring literature and future research are discussed.

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BACKGROUND: During the current pandemic, it is essential that individuals follow the COVID-19 guidelines (e.g., physical distancing) to slow down the spread of the new coronavirus. Organizations generally affect their employees' behavior in a wide range of areas, but can they also affect how strictly employees adhere to COVID-19 guidelines? To answer this question, the present study examined the impact of an organizational climate for preventing infectious diseases (OCID) on employees' adherence to COVID-19 guidelines both at work and in their private life. METHOD: We used a two-wave longitudinal online survey with a final sample of N = 304 UK employees. RESULTS: Our results show that OCID during the first lockdown in the UK in April 2020 (T1) was positively linked to adherence to COVID-19 guidelines at work one month later (T2). We also found a relationship between OCID (T1) and adherence to guidelines in one's private life (T2) that was mediated through adherence to guidelines at work (T2). CONCLUSION: These results highlight the pivotal role organizations play in mitigating the COVID-19 pandemic.

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We extended the job demand-control model by including a social comparison perspective and hypothesised that an employee's work-related well-being is to some degree relative to the perceived work environment of coworkers rather than absolute (in terms of isolated effects of individual work characteristics). Hence, we account for the social context when examining the effects of individual job characteristics. Using a lagged study design with two measurement times eight weeks apart, we examined the effects of the (in)congruence between one´s own job demands and job control with the perceived job demands and job control of coworkers on job satisfaction, emotional exhaustion, cynicism, and professional efficiency. Findings from polynomial regression analyses and response surface methodology revealed that perceiving coworkers as having either higher or lower demands than oneself is associated with lower job satisfaction and higher levels of emotional exhaustion. This provides partial support for our hypotheses. We found first-time evidence that social comparison processes regarding job demands can influence employees´ well-being.

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The present study aimed to integrate the social identity approach to health and well-being with social network analysis. Previous research on the effects of social network centrality on stress has yielded mixed results. Building on the social identity approach, we argued that these mixed results can be explained, in part, by taking into account the degree to which individuals identify with the social network. We hence hypothesized that the effects of social network centrality on stress are moderated by social identification. Using a full roster method, we assessed the social network of first-year psychology students right after the start of their study programme and three months later. The effects of network centrality (betweenness, closeness, eigenvector centrality) and social identification on stress were examined using structural equation models. As predicted, our results revealed a significant interaction between network centrality and social identification on stress: For weakly or moderately identified students, network centrality was positively related to stress. By contrast, for strongly identified students, network centrality was unrelated to stress. In conclusion, our results point to the perils of being well-connected yet not feeling like one belongs to a group.

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Escalating commitment describes the phenomenon that decision makers may become stuck in losing courses of action, throwing good money after bad. In a seminal study, testing interventions against escalating commitment, Simonson and Staw (1992) found that holding decision makers accountable for the decision process (i.e., the decision strategies they use) decreases escalating commitment, whereas accountability for the decision outcomes tends to increase it. The initial aim of our study was to extend the original findings by testing for interactive effects of both types of accountability. However, as we did not replicate the original effects in a first experiment, in spite of the fact that our materials and our procedure resembled the original study as closely as possible, we conducted a second experiment with an even stronger accountability manipulation as compared to the original study, and with an increased sample size. Once again, no effects of accountability were found. Taken together, the results of these two experiments question the robustness of the original findings. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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This study examines the relationships between different job stressors and sports participation. Based on a large-scale representative sample (N = 1935), the paper tested if the number of different job stressors encountered in a job is related to sports participation. Moreover, we examined the relative impact of different stressors on sport participation. As predicted, the number of stressors encountered at work is negatively associated with leisure-time sports participation. When testing the relative effects of different job stressors, intense physical labour, shift and night work, and job insecurity (i.e. having a fixed-term contract or fearing unemployment) are negatively related to sports participation, whereas hazardous exposure (i.e. noise), bad working atmosphere, and long working hours are not related to sports participation. Hence, the total number of job stressors, but also the specificity of job stressors, should be taken into account by professionals in the fields of health research and physical activity promotion. Practioner summary: In a large-scale representative sample, we examined if different adverse job conditions are negatively related to sports participation. We found that the number of different job stressors was negatively related to sports participation. In particular, intense physical labour, shift and night work as well as job insecurity had an impact.

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Fifty years ago, Zajonc, Heingartner, and Herman (1969) conducted a famous experiment on social enhancement and inhibition of performance in cockroaches. A moderating effect of task difficulty on the effect of the presence of an audience, as revealed by impaired performance in complex tasks and enhanced performance in simple tasks, was presented as the major conclusion of this research. However, the researchers did not test this interaction statistically. We conducted a preregistered direct replication using a 2 (audience: present vs. absent) × 2 (task difficulty: runway vs. maze) between-subjects design. Results revealed main effects for task difficulty, with faster running times in the runway than the maze, and for audience, with slower running times when the audience was present than when it was absent. There was no interaction between the presence of an audience and task difficulty. Although we replicated the social-inhibition effect, there was no evidence for a social-facilitation effect.

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Previous research identified time spent in physical activity, sleeping, and working as predictors of emotional exhaustion. However, this research did not take into account the interdependence of these time-use components. Since daily time is limited to 24 h, time spent in one specific activity (e.g., sleep) cannot be used for any other activity (e.g., physical activity). We conducted a one-week daily sampling study to assess the compositional effects of physical activity, sleep, and work on emotional exhaustion. Since the sample consisted of 104 undergraduate students, work was operationalized as study time. Participants wore accelerometers for one week continuously to assess sleep and physical activity. Also, they filled in questionnaires on study time and emotional exhaustion every morning. Multilevel and compositional data analyses were conducted. The multilevel analysis revealed significant between- (p = 0.012) and within-level (p < 0.001) associations of study time with emotional exhaustion. The compositional approach showed that time spent in physical activity was negatively related to emotional exhaustion (p = 0.007), whereas time spent studying was positively related to emotional exhaustion (p = 0.003), relative to the remaining two time-use components. In conclusion, our results show that emotional exhaustion is not only associated with work-related factors, but also with off-job physical activity.

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Previous research on the effects of outcome and process accountability on decision making has neglected the preceding phase of idea generation. We conducted a 2 (outcome accountability: yes vs. no) × 2 (process accountability: yes vs. no) experiment (N = 147) to test the effects of accountability on quantity and quality of generated ideas in a product design task. Furthermore, we examined potential negative side effects of accountability (i.e., stress and lengthened decision making). We found that (a) outcome accountability had a negative effect on quantity of ideas and (b) process accountability extended the idea generation process. Furthermore, any type of accountability (c) had a negative effect on uniqueness of ideas, (d) did not affect the quality of the idea that was selected, and (e) increased stress. Moreover, the negative effect of accountability on uniqueness of ideas was mediated by stress.

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We propose that resilience effectively helps people cope with stress, thus predominantly reducing the negative. However, we argue that individuals' social identification has the potential to contribute to their well-being, thus fostering the positive. A two-wave survey study of 180 students shows that resilience is more strongly (negatively) associated with ill-health (i.e. stress and depression), whereas social identification is more strongly (positively) related to well-being (i.e. satisfaction and work engagement). We believe that it is necessary to see these two routes to improving people's health as complementary, both in future research and for therapy and interventions.

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Judgements and decisions in many political, economic or medical contexts are often made while sleep deprived. Furthermore, in such contexts individuals are required to integrate information provided by - more or less qualified - advisors. We asked if sleep deprivation affects advice taking. We conducted a 2 (sleep deprivation: yes vs. no) ×2 (competency of advisor: medium vs. high) experimental study to examine the effects of sleep deprivation on advice taking in an estimation task. We compared participants with one night of total sleep deprivation to participants with a night of regular sleep. Competency of advisor was manipulated within subjects. We found that sleep deprived participants show increased advice taking. An interaction of condition and competency of advisor and further post-hoc analyses revealed that this effect was more pronounced for the medium competency advisor compared to the high competency advisor. Furthermore, sleep deprived participants benefited more from an advisor of high competency in terms of stronger improvement in judgmental accuracy than well-rested participants.

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RATIONALE: Although the effects of caffeine on basic cognitive functions are well-known, its effects on more complex decision making, particularly on option generation, is yet to be explored. OBJECTIVE: We examined the effects of caffeine on option generation in decision making using everyday life decisional situations. METHODS: In a double-blind placebo-controlled experiment, participants (N = 47) either received 300 mg of caffeine or a placebo. Participants had to generate choice options (things they could do) for a series of high and low familiar real-world scenarios and, subsequently, to decide among these options. RESULTS: Analyses revealed that participants in the caffeine condition generated significantly fewer options than participants in the placebo condition. Moreover, caffeine significantly reduced the option generation onset time, that is, participants in the caffeine condition generated their first option significantly faster than participants in the placebo condition. Regarding subsequent choice, we found evidence supporting the "take-the-first" heuristic, that is, the tendency to select the first generated option. This tendency was neither affected by caffeine nor by the familiarity of the scenarios. CONCLUSIONS: Caffeine results in fewer options generated in unconstrained real-life decision-making situations and decreases generation onset times.

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The active learning hypothesis of the job-demand-control model [Karasek, R. A. 1979. "Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign." Administration Science Quarterly 24: 285-307] proposes positive effects of high job demands and high job control on performance. We conducted a 2 (demands: high vs. low) × 2 (control: high vs. low) experimental office workplace simulation to examine this hypothesis. Since performance during a work simulation is confounded by the boundaries of the demands and control manipulations (e.g. time limits), we used a post-test, in which participants continued working at their task, but without any manipulation of demands and control. This post-test allowed for examining active learning (transfer) effects in an unconfounded fashion. Our results revealed that high demands had a positive effect on quantitative performance, without affecting task accuracy. In contrast, high control resulted in a speed-accuracy tradeoff, that is participants in the high control conditions worked slower but with greater accuracy than participants in the low control conditions.

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Often, economic decisions do not only depend on one's own preferences, but also on the choices of others and therefore require strategizing (i.e., thinking about what others might think). In experimental economics, this has been modeled by the beauty contest game. Another typical feature of economic decisions is that they are often carried out under stress. Therefore, in the present study, we aimed to examine the influence of stress on decision-making in the beauty contest game. Participants were randomly assigned to either the Trier Social Stress Test for Groups (TSST-G) or a placebo version of the TSST-G (control condition). Then, participants played four rounds of a standard beauty contest game. As a biomarker of stress, salivary cortisol was measured. As predicted, participants under stress chose higher numbers in the beauty contest game than non-stressed participants, indicating less strategizing. This effect was mediated by the stress-induced increase in cortisol.

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The buffer hypothesis of the Job Demand-Control Model predicts that high levels of job control compensate for the negative effects of high job demands on well-being and health. Several studies have tested this hypothesis, but the results are far from consistent. The objective of this study was to test the buffer hypothesis with respect to psychological (subjective well-being) and physiological (salivary cortisol) indicators of job strain, using an experimental study design. Seventy-seven men and women worked at a simulated computer workplace for more than two hours. Job demands and job control were manipulated in a 2 (job demands: high vs. low)×2 (job control: high vs. low)×7 (time of measurement) study design. Demands were operationalized in terms of workload, and pacing control (self-paced vs. machine-paced) was used as a job control manipulation. As dependent variables, subjective well-being and salivary cortisol were measured at seven time points during the experiment (T1-T7). In line with the buffer hypothesis, high control eliminated the impact of high demands on salivary cortisol responses. The hypothesis was supported by a predicted significant three-way interaction of demands, control and time of measurement (p<.001), qualified by the absence of significant effects of the independent variables at T1 and T2 due to lagged cortisol reactions, and significant two-way interactions of demands and control, as predicted by the model, at the five remaining times of measurement (T3-T7): high demands led to increased cortisol reactions only in the low control condition. In contrast, no main or interaction effects of the independent variables were found for subjective well-being. This discrepancy between physiological and psychological stress reactions might be due to the lack of specificity inherent in measures of subjective well-being, due to lagged psychological reactions, or due to self-report biases in the subjective measures. In sum, this study provides the first clear-cut experimental evidence for the idea that the negative impact of high job demands on endocrinological responses can be buffered by high levels of job control.

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