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Individuals engage in job crafting to create a better fit between their job and their preferences, skills, and abilities. However, the individual focus may overlook the impact of job crafting on the job context or well-being of colleagues. Therefore, an important question that is addressed in this study is whether the crafting of one person is related to the job characteristics and well-being of a colleague. This study explores the potential negative effects of a seemingly positive strategy for the individual on a colleague. Namely, we predict that when employees decrease their hindering job demands, their colleagues will be more likely to report a higher workload and more conflict. In turn, we hypothesise that colleague reports of workload and conflict are related to colleague burnout. Data were collected among 103 dyads and analyzed with the Actor‐ Partner Interdependence Model. The results largely supported the hypothesised relationships: Decreasing hindering job demands was positively related to colleague workload and conflict, which, in turn, related positively to colleague burnout. These findings suggest that proactively decreasing hindering job demands not only relates to personal job experiences, but also to colleague job characteristics and well-being.

This diary study examines the impact of daily recovery experiences on daily work–home interference (WHI) and daily burnout symptoms within a group of smartphone users. A total of 69 employees using smartphones on the initiative of their employer completed a diary questionnaire on five successive workdays (N = 293 data points). We hypothesised that particularly for intensive smartphone users it would be important to engage in activities fostering psychological detachment and relaxation in order to reduce the risk of WHI. We predicted that smartphone use would be positively related to WHI. Finally, we predicted that the positive relationship between WHI and state levels of burnout would be stronger for intensive smartphone users. Overall, the results of multi-level analyses supported these hypotheses. The findings emphasise the importance of a clear organisational policy regarding smartphone use during after-work hours.