The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Corporate Governance Codes: A Review and Research Agenda
Open accessAbstract
Manuscript Type: Review Research Question/Issue: This study reviews previous country‐level and firm‐level studies on corporate governance codes up to 2014 in order to highlight recent trends and indicate future avenues of research. Research Findings/Results: Our data show that research on codes increases over time consistently with the diffusion and the relevance of the empirical phenomenon. Despite previous studies substantially enriching our knowledge of the antecedents and consequences of governance codes, our study shows there are still several opportunities to make significant contributions in this area. Theoretical Implications: Agency theory is the dominant theoretical framework, although other theoretical perspectives (especially the institutional one) are increasingly adopted. Future studies should be aimed at widening and combining various theoretical lenses so as to develop new interpretations and a better understanding of governance codes. Practical Implications: Legislators and policymakers should continue to develop and update the recommendations of national governance codes in order to address the potential failures of corporate governance mechanisms in place.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
La Porta, R., Lopez‐de‐Silanes, F., Shleifer, A., & Vishny, R. W. (1998) · Journal of Political Economy · doi:10.1086/250042 · Cited by 18,025
Some predictors of SMJ article impact
Bergh, D. D., Perry, J., & hanke, R. (2006) · Strategic Management Journal · doi:10.1002/smj.504 · Cited by 148
Cited by
Artificial intelligence (AI) and corporate governance: Evidence from board size
Chatjuthamard, P., Jiraporn, P., & Lee, S. M. (2026) · Journal of Behavioral and Experimental Finance · doi:10.1016/j.jbef.2026.101144 · Cited by 4
Metadata
- Authors
- Cuomo, F., Mallin, C., & Zattoni, A.
- Venue
- Corporate Governance: An International Review
- Publisher
- Wiley
- Published
- 2015-11-22
- Volume
- 24
- Issue
- 3
- Pages
- 222-241
- ISSN
- 0964-8410 (ISSN-L)
- 1467-8683
- OpenAlex
- W1811815404
- Cited by
- 259
- References
- 2
- FWCI
- 63.36
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.