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Cited by 621

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Accountability and Creating Accountability: a Framework for Exploring Behavioural Perspectives of Corporate Governance

Huse, Morten·2005·British Journal of Management

Abstract

What is board accountability, and how is such accountability created? This response to Roberts, McNulty and Stiles suggests a framework for exploring behavioural perspectives of boards and corporate governance. The contribution of this framework is to develop a terminology that may help us accumulate knowledge and provide directions for a research agenda. The consistent use of a terminology, the accumulation of knowledge and an accepted research agenda among a core group of scholar are some of the first steps in developing a promising research field with considerable potential to create actionable knowledge. The framework can help us sort some of the research, concepts and anecdotes that have been presented in efforts to open the black box of board research.

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Crossref · 10.1111/j.1467-8551.2005.00448.x

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Metadata

Authors
Huse, M.
Venue
British Journal of Management
Publisher
Wiley
Published
2005-03
Volume
16
Issue
s1
ISSN
  • 1045-3172 (ISSN-L)
  • 1467-8551
OpenAlex
W2159763329
Cited by
621
References
3
FWCI
83.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Accountability and Creating Accountability: a Framework for Exploring Behavioural Perspectives of Corporate Governance. https://app.cochat.ai/papers/10.1111/j.1467-8551.2005.00448.x
The paper
Huse, M. (2005). Accountability and Creating Accountability: a Framework for Exploring Behavioural Perspectives of Corporate Governance. British Journal of Management. https://doi.org/10.1111/j.1467-8551.2005.00448.x

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.