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Cited by 371

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Inherent limitations of demographic proxies in top management team heterogeneity research

Priem, R·1999·Journal of Management

Abstract

Top management team (TMT) heterogeneity—performance research using demographic indicators has contributed to strategic management by showing that top managers do indeed “matter” to firm outcomes. We argue, however, that limitations inherent in demographics-based TMT studies preclude their use in specifying how top managers influence their firms. This is an elemental problem because questions of how top managers can and should influence their firms are central to strategic management. Demographics-based TMT heterogeneity studies are limited by intrinsic trade-offs, which sacrifice: construct validity for measurement reliability; explanation for prediction; and prescription for description. We suggest “next steps” for improving the usefulness of future TMT studies (i.e., addressing the “how” question) by: (1) incorporating more substantive heterogeneity constructs, such as within-TMT power distributions, psychographic variances, and judgment differences; and (2) integrating qualitative research with the quantitative as a base for developing research questions that are more informed, salient, and interesting. We urge researchers to eschew demographic proxies, and instead direct their efforts toward more difficult, but potentially more rewarding, TMT issues.

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Metadata

Authors
Priem, R.
Venue
Journal of Management
Published
1999
Volume
25
Issue
6
Pages
935-953
ISSN
0149-2063 (ISSN-L)
OpenAlex
W1987177976
Cited by
371
References
2
FWCI
7.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Inherent limitations of demographic proxies in top management team heterogeneity research. https://app.cochat.ai/papers/10.1016/s0149-2063(99)00030-6
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Priem, R. (1999). Inherent limitations of demographic proxies in top management team heterogeneity research. Journal of Management. https://doi.org/10.1016/s0149-2063(99)00030-6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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