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The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

Flow at work: An experience sampling approach

Fullagar, Clive J., Kelloway, E. Kevin·2009·Journal of Occupational and Organizational Psychology

Abstract

One of the core constructs of the positive psychology movement is that of ‘flow’, or optimal experience. The current study investigated the relationship between ‘flow’, the core job dimensions, and subjective well‐being (SWB), as well as distinguishing between the state and trait components of flow. Experience sampling methodology (ESM) was used to track 40 architectural students over a 15 week semester while they engaged in studio work. Hierarchical linear modelling (HLM) indicated that 74% of the variance in flow was attributable to situational characteristics compared to dispositional factors. Results also indicated that academic work that was high in skill variety and autonomy was associated with flow. Flow was found to be correlated with positive mood. Cross‐lagged regression analysis showed that momentary flow was predictive of momentary mood and not vice versa. The strengths and limitations of using ESM to study subjective work experiences and well‐being are discussed, as well as the implications of the study of flow or optimal experience for industrial/organizational psychology.

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Metadata

Authors
Fullagar, C. J., & Kelloway, E. K.
Venue
Journal of Occupational and Organizational Psychology
Publisher
Wiley
Published
2009-09
Volume
82
Issue
3
Pages
595-615
ISSN
  • 0963-1798 (ISSN-L)
  • 2044-8325
OpenAlex
W2015351884
Cited by
347
References
82
FWCI
11.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Flow at work: An experience sampling approach. https://app.cochat.ai/papers/10.1348/096317908x357903
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Fullagar, C. J., & Kelloway, E. K. (2009). Flow at work: An experience sampling approach. Journal of Occupational and Organizational Psychology. https://doi.org/10.1348/096317908x357903

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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