Citations refer to the original publication, not to a Scieee localized version.
Schneider, M., & Brühl, R. (2023). Disentangling the black box around CEO and financial information-based accounting fraud detection: machine learning-based evidence from publicly listed U.S. firms. Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer. https://doi.org/10.1007/s11573-023-01136-w
Schneider, Moritz, and Rolf Brühl. Disentangling the black box around CEO and financial information-based accounting fraud detection: machine learning-based evidence from publicly listed U.S. firms. Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer, 2023. https://doi.org/10.1007/s11573-023-01136-w.
Schneider, Moritz, and Rolf Brühl. Disentangling the black box around CEO and financial information-based accounting fraud detection: machine learning-based evidence from publicly listed U.S. firms. Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer, 2023. https://doi.org/10.1007/s11573-023-01136-w.
Schneider, M. and Brühl, R. (2023) Disentangling the black box around CEO and financial information-based accounting fraud detection: machine learning-based evidence from publicly listed U.S. firms. Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer. Available at: https://doi.org/10.1007/s11573-023-01136-w.
M. Schneider and R. Brühl, “Disentangling the black box around CEO and financial information-based accounting fraud detection: machine learning-based evidence from publicly listed U.S. firms,” Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer, 2023, doi: 10.1007/s11573-023-01136-w.
@misc{schneider2023disentangling,
author = {Schneider, Moritz and Brühl, Rolf},
title = {Disentangling the black box around CEO and financial information-based accounting fraud detection: machine learning-based evidence from publicly listed U.S. firms},
year = {2023},
publisher = {Berlin, Heidelberg: Springer,Berlin, Heidelberg: Springer},
doi = {10.1007/s11573-023-01136-w},
url = {https://doi.org/10.1007/s11573-023-01136-w}
}
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