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Making flow happen : The effects of being recovered on work-related flow between and within days

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2014

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Debus, Maike E.
Deutsch, Werner

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https://doi.org/10.1037/a0035881
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Journal of Applied Psychology. 2014, 99(4), pp. 713-722. ISSN 0021-9010. eISSN 1939-1854. Available under: doi: 10.1037/a0035881

Zusammenfassung

This article examines variations of work-related flow both between and within days. On the basis of the effort-recovery model (Meijman & Mulder, 1998), we hypothesized that a person's relative day-specific state of being recovered (i.e., feeling refreshed) in the morning is positively related to subsequent day-level flow experiences during work. Taking into account research on circadian rhythms of human functioning, we further hypothesized that flow experiences follow a U-shaped pattern within the working day and that feeling recovered will affect this pattern. One hundred and twenty-one software professionals provided data on recovery at the start of the working day and on flow at 3 occasions during the day, for a period of 5 consecutive working days (resulting in 493 day-level and 1,340 occasion-level data points). Three-level multilevel models showed that relative day-level state of being recovered predicted day-level flow experiences in the hypothesized direction. The data did not support a general curvilinear, U-shaped main effect of flow experiences within the day. However, people in a relatively high state of being recovered in the morning experienced the predicted U-shaped pattern, whereas poorly recovered people experienced a gradual decrease in flow experiences over the course of the working day. This study emphasizes the importance of recovery during nonwork time for flow experiences within the entire working day, thereby extending research on task characteristics with personal resources when examining predictors of flow.

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150 Psychologie

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ISO 690DEBUS, Maike E., Sabine SONNENTAG, Werner DEUTSCH, Fridtjof W. NUSSBECK, 2014. Making flow happen : The effects of being recovered on work-related flow between and within days. In: Journal of Applied Psychology. 2014, 99(4), pp. 713-722. ISSN 0021-9010. eISSN 1939-1854. Available under: doi: 10.1037/a0035881
BibTex
@article{Debus2014-07Makin-43767,
  year={2014},
  doi={10.1037/a0035881},
  title={Making flow happen : The effects of being recovered on work-related flow between and within days},
  number={4},
  volume={99},
  issn={0021-9010},
  journal={Journal of Applied Psychology},
  pages={713--722},
  author={Debus, Maike E. and Sonnentag, Sabine and Deutsch, Werner and Nussbeck, Fridtjof W.}
}
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    <dcterms:abstract xml:lang="eng">This article examines variations of work-related flow both between and within days. On the basis of the effort-recovery model (Meijman &amp; Mulder, 1998), we hypothesized that a person's relative day-specific state of being recovered (i.e., feeling refreshed) in the morning is positively related to subsequent day-level flow experiences during work. Taking into account research on circadian rhythms of human functioning, we further hypothesized that flow experiences follow a U-shaped pattern within the working day and that feeling recovered will affect this pattern. One hundred and twenty-one software professionals provided data on recovery at the start of the working day and on flow at 3 occasions during the day, for a period of 5 consecutive working days (resulting in 493 day-level and 1,340 occasion-level data points). Three-level multilevel models showed that relative day-level state of being recovered predicted day-level flow experiences in the hypothesized direction. The data did not support a general curvilinear, U-shaped main effect of flow experiences within the day. However, people in a relatively high state of being recovered in the morning experienced the predicted U-shaped pattern, whereas poorly recovered people experienced a gradual decrease in flow experiences over the course of the working day. This study emphasizes the importance of recovery during nonwork time for flow experiences within the entire working day, thereby extending research on task characteristics with personal resources when examining predictors of flow.</dcterms:abstract>
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