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Cited by 344

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

Do Humble CEOs Matter? An Examination of CEO Humility and Firm Outcomes

Ou, Amy Y., Waldman, David A., Peterson, Suzanne J.·2018·Journal of Management

Abstract

We propose a mediation model to explain the relationship between CEO humility and firm performance. Building on upper echelons, power, and paradox theories, we hypothesize that when a more humble CEO leads a firm, its top management team (TMT) is more likely to collaborate, share information, jointly make decisions, and possess a shared vision. The firm will also tend to have lower pay disparity between the CEO and the TMT. The humble CEO and TMT, in turn, will be more likely to adopt an ambidextrous strategic orientation, which will be associated with stronger firm performance. We tested the model by using both survey and archival data that were collected at multiple time points from 105 small-to-medium-sized firms in the computer software and hardware industry in the United States. Findings largely support our theoretical assertions, suggesting that CEO humility has important implications for firm processes and outcomes.

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Metadata

Authors
Ou, A. Y., Waldman, D. A., & Peterson, S. J.
Venue
Journal of Management
Published
2015-09-21
Volume
44
Issue
3
Pages
1147-1173
ISSN
  • 0149-2063 (ISSN-L)
  • 1557-1211
OpenAlex
W2239820613
Cited by
344
References
99
FWCI
17.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Do Humble CEOs Matter? An Examination of CEO Humility and Firm Outcomes. https://app.cochat.ai/papers/10.1177/0149206315604187
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Ou, A. Y., Waldman, D. A., & Peterson, S. J. (2018). Do Humble CEOs Matter? An Examination of CEO Humility and Firm Outcomes. Journal of Management. https://doi.org/10.1177/0149206315604187

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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.