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Cited by 431

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Effects of Task Autonomy on Performance: An Extended Model Considering Motivational, Informational, and Structural Mechanisms.

Langfred, Claus W., Moye, Neta A.·2004·Journal of Applied Psychology

Abstract

A model explaining the relationship between task autonomy and performance is proposed that incorporates 3 different causal mechanisms. The performance benefits of task autonomy may be realized by increased motivation (motivational mechanisms), by capitalization of information asymmetries (informational mechanisms), or by better alignment with task and organizational structures (structural mechanisms). Further, it is proposed that these performance benefits are moderated by a variety of variables ranging from individual traits to organizational design. This model may provide a means for accounting for the sometimes inconsistent findings in the empirical literature exploring the relationship between autonomy and performance. The model also offers guidance in the search for additional boundary conditions as well as prescriptive guidelines for the allocation of autonomy in practice.

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Crossref · 10.1037/0021-9010.89.6.934

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Metadata

Authors
Langfred, C. W., & Moye, N. A.
Venue
Journal of Applied Psychology
Published
2004
Volume
89
Issue
6
Pages
934-945
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W1997118553
Cited by
431
References
2
FWCI
7.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Effects of Task Autonomy on Performance: An Extended Model Considering Motivational, Informational, and Structural Mechanisms. https://app.cochat.ai/papers/10.1037/0021-9010.89.6.934
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Langfred, C. W., & Moye, N. A. (2004). Effects of Task Autonomy on Performance: An Extended Model Considering Motivational, Informational, and Structural Mechanisms. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.89.6.934

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.