Background and aims: The individual difference predictors of positive work attitudes and behaviors have been widely investigated in the field of positive organizational scholarship. However, to date, integrating studies linking positive psychological resources, such as Psychological Capital and influence regulation, with positive organizational outcomes are still scarce. Thus, the main aim of the present study was to examine the relationships of Psychological Capital and influence regulation with job satisfaction and job performance both at the individual and team levels.Methods: Within the cross-sectional multi-source research involving both team leaders and team members from 34 different teams, we examined the relationships of Psychological Capital and influence regulation with job satisfaction and job performance. The relationships of the study variables were based on the positive organizational behavior and the broaden-and-build theory of positive emotions, which suggest the positive relationships of distinct positive psychological resources with positive work outcomes. Accordingly, in addition to the widely accepted concept of Psychological Capital (PsyCap), we employed and analyzed the complimentary construct of influence regulation (i.e., the ability to intentionally share social influence with others in the workplace) both at the individual and group levels.Results: The results of hierarchical linear modeling with 304 individuals from 34 teams from a diverse sample of Polish employees indicated that team members’ PsyCap was positively linked to individual-level job satisfaction and two facets of job performance, i.e. creative performance and in-role performance. In contrast, no relationship was found between influence regulation and job satisfaction or job performance at both levels of analysis.Conclusion: With regard to positive interpersonal resources, the findings highlight the role of PsyCap in predicting job satisfaction and job performance and broaden the understanding of positivity in the workplace by introducing the construct of influence regulation. Also, based on the study results, managerial implications are discussed.

Modern factories are subject to rapid technological changes, including the advancement of robotics. A key manufacturing solution in the fourth industrial revolution is the introduction of collaborative robots (cobots), which cooperate directly with human operators while executing shared tasks. Although collaborative robotics has tangible benefits, cobots pose several challenges to human-robot interaction. Proximity, unpredictable robot behavior, and switching the operator’s role from a co-operant to a supervisor can negatively affect the operator’s cognitive, emotional, and behavioral responses, resulting in their lower well-being and decreased job performance. Therefore, proper actions are necessary to improve the interaction between the robot and its human counterpart. Specifically, exploring the concept of human-robot interaction (HRI) fluency shows promising perspectives. However, research on conditions affecting the relationships between HRI fluency and its outcomes is still in its infancy. Therefore, the aim of this cross-sectional survey study was twofold. First, the relationships of HRI fluency with job performance (i.e., task performance, organizational citizenship behavior, and creative performance) and job satisfaction were investigated. Second, the moderating role of the quantitative workload in these associations was verified. The analyses carried out on data from 200 male and female cobot operators working on the shop floor showed positive relationships between HRI fluency, job performance, and job satisfaction. Moreover, the study confirmed the moderating role of the quantitative workload in these relations. The results showed that the higher the workload, the lower the relationships between HRI fluency and its outcomes. The study findings are discussed within the theoretical framework of the Job Demands-Control-Support model.

This paper presents relationships between personality traits and stress levels in light of the transactional model of stress. The framework of the transactional model was applied to determine the significance of work with a robot for primary and secondary stress appraisal made by an individual. We decided to use the Big Five personality traits model as one which integrates the dimensions of personality and had been previously applied to research on stress. The participants in our three-wave study were 105 students doing an industrial robots programming course. Using Ten Item Personality Inventory (TIPI) and Questionnaire for Primary and Secondary Appraisal (PASA) questionnaires, we gathered information about the students’ personality, the level of anticipated stress, and the stress experienced while working with a robot after 6 and 12 weeks. The obtained results prove that emotional stability is significant for secondary appraisal of anticipated stress. The results also show that openness to experience is a negative predictor, whereas conscientiousness is a positive predictor of primary stress appraisal. The ability to cope with stress after 12 weeks of work with a robot is appraised as higher by older, more conscientious, and introverted people. The obtained results are discussed from the psychological perspective of stress and personality, which complements earlier studies in technical sciences. The limitations of the study are also indicated.