The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Corporate Philanthropy, Criminal Activity, and Firm Reputation: Is There a Link?
Overview
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Citations
Cites
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
The Role of Market Forces in Assuring Contractual Performance
Klein, B., & Leffler, K. B. (1981) · Journal of Political Economy · doi:10.1086/260996 · Cited by 3,653
Cited by
Corporate Reputation and Philanthropy: An Empirical Analysis
Brammer, S., & Millington, A. (2005) · Journal of Business Ethics · doi:10.1007/s10551-005-7443-4 · Cited by 984
Corporate environmental responsibility and the cost of capital: International evidence
El Ghoul, S., Guedhami, O., Kim, H., & Park, K. (2018) · Journal of Business Ethics · doi:10.1007/s10551-015-3005-6 · Cited by 544
Doing good deeds in times of need: a strategic perspective on corporate disaster donations
Muller, A., & Kräussl, R. (2011) · Strategic Management Journal · doi:10.1002/smj.917 · Cited by 385
Signaling Sustainability Leadership: Empirical Evidence of the Value of DJSI Membership
Robinson, M., Kleffner, A., & Bertels, S. (2011) · Journal of Business Ethics · doi:10.1007/s10551-011-0735-y · Cited by 260
Janney, J. J., & Gove, S. (2011) · Journal of Management Studies · doi:10.1111/j.1467-6486.2010.00984.x · Cited by 252
Metadata
- Authors
- Williams, R. J., & Barrett, J. D.
- Venue
- Journal of Business Ethics
- Published
- 2000-08
- Volume
- 26
- Issue
- 4
- Pages
- 341-350
- ISSN
- 0167-4544 (ISSN-L)
- 1573-0697
- OpenAlex
- W1602336149
- Cited by
- 343
- References
- 2
- FWCI
- 9.25
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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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.