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This study investigates the effects of e-groups on well-being and performance, using a collective approach and an objective performance indicator. Furthermore, it includes collective efficacy as a moderator and negative (anxiety) as well as positive (engagement) well-being. A lab experiment with an interval of 3 weeks was performed among 140 students who were randomly distributed across 18 groups using a chat-internet program and 10 groups working face to face. Half the groups performed under time pressure. Results confirm the moderating role of perceived collective efficacy on well-being and task performance. All groups working under time pressure and low in collective efficacy show an increase in collective anxiety. Chat-internet groups under time pressure show an increase in collective engagement but only when they feel high in collective efficacy. Finally, task performance was poorer in chat groups, working under time pressure, and with low levels of collective efficacy than in the other groups.

T his paper tests the structure and the predictors of two psychological experiences of technostress associated with the use of information and communication technologies (ICT), i.e., technostrain (users report feelings of anxiety, fatigue, scepticism and inefficacy beliefs related to the use of technologies) and technoaddiction (users feel bad due to an excessive and compulsive use of these technologies). The study included a sample of 1072 ICT users (N ¼ 675 nonintensive ICT users and N ¼ 397 intensive ICT users). Results from multigroup confirmatory factor analyses among non-intensive and intensive ICT users showed, as expected, the four-factor structure of technostrain in both samples. Secondly, and also as expected, confirmatory factorial analyses revealed that technostress experiences are characterized not only by technostrain but also by an excessive and compulsive use of ICT. Moreover, multiple analyses of variance showed significant differences between non-intensive and intensive ICT users (1) in the dimensions of technostress and (2) in specific job demands and job/personal resources. Finally, linear multiple regression analyses revealed that technostrain is positively predicted by work overload, role ambiguity, emotional overload, mobbing and obstacles hindering ICT use, as well as by lack of autonomy, transformational leadership, social support, ICT use facilitators and mental competences. Work overload, role ambiguity and mobbing, as well as the lack of emotional competences, positively predict technoaddiction. Theoretical and practical implications, in addition to future research, are discussed.

The aim of this study is to extend the Channel Model of Flow (Csikszentmihalyi, 1975, 1990) at the collective level (workgroups) by including collective efficacy beliefs as a predictor of collective flow based on the Social Cognitive Theory (Bandura, 1997, 2001). A two-wave longitudinal lab study was conducted with 250 participants working in 52 small groups. Longitudinal results from Structural Equation Modeling with data aggregated at the group level showed, as expected, that collective efficacy beliefs predict collective flow over time, both being related reciprocally. Findings and their theoretical and practical implications in the light of Social Cognitive Theory are discussed.

The fact that the permeability between family and work scopes produces work-family conflict (WFC) is well established. As such, this research aims to check whether the unequal involvement in household chores between men and women is associated with increased WFC in women and men, interpreting the results also from the knowledge that arise from gender studies. A correlational study was carried out by means a questionnaire applied to 515 subjects (63% men) of two independent samples of Spanish men and women without emotional relationship, who lived with their heterosexual partner. As expected, results firstly show unequal involvement in household chores by women and men as it is higher in women that in men, and the perception of partner involvement is lower in women that in men. Secondly, those unequal involvements relate differently to men and women on different ways of work-family interaction. They do not increase WFC in women comparing to men, although there are tangentially significant differences in work conflict (WC) and statistically significant in family conflict (FC). However, perception of partner involvement on household chores increases WFC both in men and in women but not WC nor FC. Nevertheless, increase on marital conflict (MC) by domestic tasks neither affect in a significant way WFC in women nor in men, but increase WC in both women and men and FC only in women. Results also confirm that subject involvement on household chores is not a significant predictor of WFC in women nor in men, and that MC by domestic tasks is a statistically significant predictor in women of WFC and FC, but not in men. Thus, results show that traditional gender roles still affect the way men and women manage the work and family interaction, although the increased WFC due to involvement in housework is not exclusive to women, but also occurs in men. Personal and institutional recommendations are made on the basis of these results to cope with these conflicts.

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Flow experience is a state of mind in which one is totally absorbed in a task. This study explored the daily flow patterns related to working and non-working tasks among healthy and non-healthy (burned-out) individuals using the Experience Sampling Method. The main aim of this study was to explore flow throughout the day using an operationalization that focused on the flow experience itself, as indicated by enjoyment and absorption. Forty healthy participants and 60 burned-out individuals kept an electronic diary on activities (work/nonwork), and levels of flow (enjoyment and absorption) for 14 days. Entries were prompted by a signal on average five times a day, thus rendering 5,455 entries. A curvilinear daily flow pattern was observed, with lower levels of flow during working hours. Differences were found between the components of flow: enjoyment was higher during non-working tasks, whereas absorption was higher when working. There were no differences in flow patterns between the healthy and burned-out group although the actual levels differed with the former experiencing more flow than the latter. The results confirm the validity of this means of measuring flow, using enjoyment and absorption as indicators.[188 words]

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