The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Measuring Corporate Citizenship in Two Countries: The Case of the United States and France
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Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
A Three-Dimensional Conceptual Model of Corporate Performance
Carroll, A. B. (1979) · The Academy of Management Review · doi:10.2307/257850 · Cited by 10,480
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
The Stakeholder Theory of the Corporation: Concepts, Evidence, and Implications
Donaldson, T., & Preston, L. E. (1995) · The Academy of Management Review · doi:10.2307/258887 · Cited by 5,846
CORPORATE SOCIAL PERFORMANCE AND ORGANIZATIONAL ATTRACTIVENESS TO PROSPECTIVE EMPLOYEES.
TURBAN, D. B., & GREENING, D. W. (1997) · Academy of Management Journal · doi:10.2307/257057 · Cited by 3,149
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error: A Comment
Bagozzi, R. P. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800312 · Cited by 778
Cited by
MOHR, L. A., WEBB, D. J., & HARRIS, K. E. (2001) · Journal of Consumer Affairs · doi:10.1111/j.1745-6606.2001.tb00102.x · Cited by 2,119
Saeidi, S. P., Sofian, S., Saeidi, P., Saeidi, S. P., & Saaeidi, S. A. (2015) · Journal of Business Research · doi:10.1016/j.jbusres.2014.06.024 · Cited by 1,540
The Relationship between Perceptions of Corporate Citizenship and Organizational Commitment
Peterson, D. K. (2004) · Business & Society · doi:10.1177/0007650304268065 · Cited by 781
Rupp, D. E., Shao, R., Thornton, M. A., & Skarlicki, D. P. (2013) · Personnel Psychology · doi:10.1111/peps.12030 · Cited by 623
Schwartz, M. S., & Carroll, A. B. (2008) · Business & Society · doi:10.1177/0007650306297942 · Cited by 406
Metadata
- Authors
- Maignan, I., & Ferrell, O. C.
- Venue
- Journal of Business Ethics
- Published
- 2000-02
- Volume
- 23
- Issue
- 3
- Pages
- 283-297
- ISSN
- 0167-4544 (ISSN-L)
- 1573-0697
- OpenAlex
- W2160973937
- Cited by
- 654
- References
- 9
- FWCI
- 13.21
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
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- CoChat. (2026). Citation check: Measuring Corporate Citizenship in Two Countries: The Case of the United States and France. https://app.cochat.ai/papers/10.1023/a:1006262325211
- The paper
- Maignan, I., & Ferrell, O. C. (2000). Measuring Corporate Citizenship in Two Countries: The Case of the United States and France. Journal of Business Ethics. https://doi.org/10.1023/a%3A1006262325211
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.
