The Anatomy of Corporate Fraud: A Comparative Analysis of High Profile American and European Corporate Scandals
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DOI: 10.1007/s10551-013-1660-z
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Citations
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Cited by:
- Xin Xu & Feng Xiong & Zhe An, 2023. "Using Machine Learning to Predict Corporate Fraud: Evidence Based on the GONE Framework," Journal of Business Ethics, Springer, vol. 186(1), pages 137-158, August.
- Laure de Batz & Evžen Kočenda, 2024.
"Financial crime and punishment: A meta‐analysis,"
Journal of Economic Surveys, Wiley Blackwell, vol. 38(4), pages 1338-1398, September.
- Laure de Batz & Evžen Kočenda & Evžen Kocenda, 2023. "Financial Crime and Punishment: A Meta-Analysis," CESifo Working Paper Series 10528, CESifo.
- Laure Batz, 2023. "Financial market enforcement in France," European Journal of Law and Economics, Springer, vol. 55(3), pages 409-468, June.
- Aymen Sajjad & Gabriel Eweje & Muhammad Mustafa Raziq, 2024. "Sustainability leadership: An integrative review and conceptual synthesis," Business Strategy and the Environment, Wiley Blackwell, vol. 33(4), pages 2849-2867, May.
- Mark Beasley & Allen Blay & Christina Lewellen & Michelle McAllister, 2023. "Tempering Financial Reporting Risk through Board Risk Management," JRFM, MDPI, vol. 16(12), pages 1-22, November.
- Saffet A. Uygur & Christopher J. Napier, 2024. "Understanding Fraud in the Not-For-Profit Sector: A Stakeholder Perspective for Charities," Journal of Business Ethics, Springer, vol. 190(3), pages 569-588, March.
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