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Cited by 313

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

The Effects of Top Management Team Integrative Complexity and Decentralized Decision Making on Corporate Social Performance

Wong, Elaine M., Ormiston, Margaret E., Tetlock, Philip E.·2011·Academy of Management Journal

Abstract

We examine the influence of top management teams' (TMTs') integrative complexity and decentralization of decision making on corporate social performance. We argue that both factors increase TMT ability to gather information on, and attend to, stakeholder needs, thereby yielding higher corporate social performance. We further predict that decentralization moderates the relationship between integrative complexity and corporate social performance in such a way that the relationship is stronger under conditions of centralization. Using a Q-sort methodology, which translates complex qualitative observations into quantitative metrics, we examined integrative complexity and decentralization in 61 Fortune 500 firms and found support for our predictions.

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Crossref · 10.5465/amj.2008.0762

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Metadata

Authors
Wong, E. M., Ormiston, M. E., & Tetlock, P. E.
Venue
Academy of Management Journal
Published
2011-12
Volume
54
Issue
6
Pages
1207-1228
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2000312985
Cited by
313
References
8
FWCI
51.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Effects of Top Management Team Integrative Complexity and Decentralized Decision Making on Corporate Social Performance. https://app.cochat.ai/papers/10.5465/amj.2008.0762
The paper
Wong, E. M., Ormiston, M. E., & Tetlock, P. E. (2011). The Effects of Top Management Team Integrative Complexity and Decentralized Decision Making on Corporate Social Performance. Academy of Management Journal. https://doi.org/10.5465/amj.2008.0762

Data sources

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.