Motivation in Technology-Assisted Supplemental Work: The Protective Potential of Need Fulfillment

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Authors

SÝKORA Jaroslav VACULÍK Martin

Year of publication 2025
Type Appeared in Conference without Proceedings
MU Faculty or unit

Faculty of Social Studies

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Description Recovery experiences (RXP) are negatively affected by technology-assisted supplemental work (TASW; eg. Kühner et al., 2023). Therefore, further research into factors supporting RXP in relation to TASW is crucial. Fullfilment of basic psychological needs (BPN; Ryan et al., 2022) is under-researched factor in recovery research, despite its theoretical relevance (Sonnentag et al., 2022). Day-level studies indicate that work-related BPN satisfaction protects agains fatigue and positively impacts vigor (van Hoof & Geurts, 2015). Aditionally, BPN satisfaction during non-work days is negatively related to fatigue and acts as a protective moderator against work demands (van Hoof et al., 2018). The first research gap is lack of studies examining the relationship between BPN and RXP. The second is the insufficient focus on TASW in relation to BPN. We expect that TASW either satisfies or frustrates BPN at a daily level. Furthermore, frustration and satisfaction operate simultaneously as parallel mediators (Sheldon & Hilpert, 2012). H1: TASW is positively related to daily BPN satisfaction H2a: Daily BPN satisfaction is positively related to RXP H2b: Daily BPN frustration is negatively related to RXP H3a: Daily BPN satisfaction mediates relationship between TASW and RXP in supportive way. H3b: Daily BPN frustration mediates relationship between TASW and RXP in detrimental way. Although limited evidence suggests the general fulfillment of BPN is independent of TASW (Baumeister et al., 2021), it may still directly support RXP. Additionally, BPN fulfillment could function as a moderator, influencing RXP in both supportive and detrimental ways. The aim of this presentation is to introduce a portion of my research project, which proposes a mediation/moderation model based on the frameworks of Job Demands-Resources Theory (Bakker et al., 2023) and Self-Determination Theory (Ryan et al., 2022). The model will be tested using an ecological momentary assessment (EMA) research design.
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