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Cited by 237

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Does Happiness Promote Career Success? Revisiting the Evidence

Open access
Walsh, Lisa C., Boehm, Julia K., Lyubomirsky, Sonja·2018·Journal of Career Assessment

Abstract

Empirical research demonstrates a relationship between happiness and career success. For example, happy people receive higher earnings, exhibit better performance, and obtain more favorable supervisor evaluations than their less happy peers. Researchers have posited that success leads to happiness, but Boehm and Lyubomirsky reviewed the relevant research in 2008 and argued that the alternative hypothesis—that happiness causes success—may be equally plausible. A decade later, we return to the literature to supplement studies we previously cited with new research and to determine whether the results of cross-sectional, longitudinal, and experimental investigations provide additional support for this hypothesis. We conclude that the evidence continues to persuasively suggest that happiness is correlated with and often precedes career success and that experimentally enhancing positive emotions leads to improved outcomes in the workplace.

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Crossref · 10.1177/1069072717751441

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Metadata

Authors
Walsh, L. C., Boehm, J. K., & Lyubomirsky, S.
Venue
Journal of Career Assessment
Published
2018-01-15
Volume
26
Issue
2
Pages
199-219
ISSN
  • 1069-0727 (ISSN-L)
  • 1552-4590
OpenAlex
W2783802465
Cited by
237
References
30
FWCI
31.26
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Does Happiness Promote Career Success? Revisiting the Evidence. https://app.cochat.ai/papers/10.1177/1069072717751441
The paper
Walsh, L. C., Boehm, J. K., & Lyubomirsky, S. (2018). Does Happiness Promote Career Success? Revisiting the Evidence. Journal of Career Assessment. https://doi.org/10.1177/1069072717751441

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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.