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Cited by 551

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

The Interactive Effects of Personal Traits and Experienced States on Intraindividual Patterns of Citizenship Behavior

Ilies, Remus, Scott, Brent A., Judge, Timothy A.·2006·Academy of Management Journal

Abstract

An experience-sampling study investigating the dynamic process through which personal traits and affective and attitudinal states experienced at work influence intraindividual patterns of organizational citizenship behavior over time generally supported hypotheses. First, at the intraindividual level, experience-sampled positive affect and job satisfaction predicted experience sampled reports of organizational citizenship behaviors over time. Second, cross-level interaction between agreeableness and positive affect predicted organizational citizenship behavior. Compared to less agreeable employees, agreeable employees reported both engaging more often in organizational citizenship behavior and more consistent patterns of such behavior; their engagement in these behaviors was less dependent on their momentary positive affect.

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Crossref · 10.5465/amj.2006.21794672

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Metadata

Authors
Ilies, R., Scott, B. A., & Judge, T. A.
Venue
Academy of Management Journal
Published
2006-06
Volume
49
Issue
3
Pages
561-575
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2113775617
Cited by
551
References
8
FWCI
47.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Interactive Effects of Personal Traits and Experienced States on Intraindividual Patterns of Citizenship Behavior. https://app.cochat.ai/papers/10.5465/amj.2006.21794672
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Ilies, R., Scott, B. A., & Judge, T. A. (2006). The Interactive Effects of Personal Traits and Experienced States on Intraindividual Patterns of Citizenship Behavior. Academy of Management Journal. https://doi.org/10.5465/amj.2006.21794672

Data sources

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.