TY - JOUR U1 - Zeitschriftenartikel, wissenschaftlich - nicht begutachtet (unreviewed) A1 - Weigelt, Oliver A1 - Schmitt, Antje A1 - Syrek, Christine J. A1 - Ohly, Sandra T1 - Exploring the Vital Worker Over Time – A Week-Level Study on How Positive and Negative Work Events Contribute to Affect and Sustain Work Engagement T2 - Preprints N2 - Although work events can be regarded as pivotal elements of organizational life, only a few studies have examined how positive and negative events relate to and combine to affect work engagement over time. Theory suggests that to better understand how current events affect work engagement (WE), we have to account for recent events that have preceded these current events. We present competing theoretical views on how recent and current work events may affect employees (e.g., getting used to a high frequency of negative events or becoming more sensitive to negative events). Although the occurrence of events implies discrete changes in the experience of work, prior research has not considered whether work events actually accumulate to sustained mid-term changes in WE. To address these gaps in the literature, we conducted a week-level longitudinal study across a period of 15 consecutive weeks among 135 employees, which yielded 849 weekly observations. While positive events were associated with higher levels of WE within the same week, negative events were not. Our results support neither satiation nor sensitization processes. However, high frequencies of negative events in the preceding week amplified the beneficial effects of positive events on WE in the current week. Growth curve analyses show that the benefits of positive events accumulate to sustain high levels of WE. WE dissipates in the absence of continuous experience of positive events. Our study adds a temporal component and informs research that has taken a feature-oriented perspective on the dynamic interplay of job demands and resources. KW - affective events KW - work engagement KW - sensitization-satiation effects KW - job demands-resources model KW - experience sampling KW - growth curve modeling UN - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-46311 U6 - https://doi.org/10.20944/preprints201910.0037.v1 DO - https://doi.org/10.20944/preprints201910.0037.v1 PB - MDPI CY - Basel ER -