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Cited by 930

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

The relative roles of engagement and embeddedness in predicting job performance and intention to leave

Halbesleben, Jonathon R.B., Wheeler, Anthony R.·2008·Work & Stress
DOI 10.1080/02678370802383962
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Abstract

Both work engagement and job embeddedness have seen dramatic growth in research interest over the past few years. Briefly, work engagement can be defined as a positive, fulfilling state of mind, most commonly characterized by vigour, dedication, and absorption. Job embeddedness, in contrast, captures components of an individual's attachment to their job and can be said to consist of links, perceptions of person–environment fit, and the sacrifices involved in quitting. Despite some strong similarity in the constructs in their theoretical bases, there has been no attempt to distinguish them empirically. Thus, the primary research question driving this study was whether work engagement and job embeddedness were empirically distinct constructs. Using a sample of US employees from a wide variety of industries and occupations (n=587), their supervisors, and their closest co-worker, we found via confirmatory factor analysis that engagement and embeddedness were unique constructs. Moreover, using usefulness analysis, we found that engagement and embeddedness each shared unique variance with in-role performance and intention to leave. We discuss the implications of these findings relative to work on motivation and attachment and develop practical implications from our findings as well as directions for future research.

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Metadata

Authors
Halbesleben, J. R. B., & Wheeler, A. R.
Venue
Work & Stress
Publisher
Informa UK Limited
Published
2008-07
Volume
22
Issue
3
Pages
242-256
ISSN
  • 0267-8373 (ISSN-L)
  • 1464-5335
DOI
10.1080/02678370802383962
OpenAlex
W2141270192
Cited by
930
References
13
FWCI
47.52
Type
journal article
Language
en
Open access
closed

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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).

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