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Cited by 256

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Traditionality matters: an examination of the effectiveness of transformational leadership in the United States and Taiwan

Open access
Spreitzer, Gretchen M., Perttula, Kimberly Hopkins, Xin, Katherine·2005·Journal of Organizational Behavior

Abstract

This research examines how the effectiveness of transformational leadership may vary depending on the cultural values of an individual. We develop the logic for why the individual value of traditionality (emphasizing respect for hierarchy in relationships) moderates the relationship between six dimensions of transformational leadership and leadership effectiveness. The hypotheses are examined on leaders from Asia and North America. The results indicate support for the moderating effect of traditional values on the relationship between four dimensions of transformational leadership (appropriate role model, intellectual stimulation, high performance expectations, and articulating a vision) on leadership effectiveness. Copyright © 2005 John Wiley & Sons, Ltd.

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Crossref · 10.1002/job.315

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Metadata

Authors
Spreitzer, G. M., Perttula, K. H., & Xin, K.
Venue
Journal of Organizational Behavior
Publisher
Wiley
Published
2005
Volume
26
Issue
3
Pages
205-227
ISSN
  • 0894-3796 (ISSN-L)
  • 1099-1379
OpenAlex
W2047310925
Cited by
256
References
5
FWCI
27.71
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Traditionality matters: an examination of the effectiveness of transformational leadership in the United States and Taiwan. https://app.cochat.ai/papers/10.1002/job.315
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Spreitzer, G. M., Perttula, K. H., & Xin, K. (2005). Traditionality matters: an examination of the effectiveness of transformational leadership in the United States and Taiwan. Journal of Organizational Behavior. https://doi.org/10.1002/job.315

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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.