• 2024

    Research article (journal)

    Maibaum, F., Kriebel, J., & Foege, J. N. (2024). Selecting textual analysis tools to classify sustainability information in corporate reporting. Decision Support Systems, (in press).
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  • 2023

    Research article (journal)

    Beckmann, L., Debener, J., & Kriebel, J. (2023). Understanding the determinants of bond excess returns using explainable AI. Journal of Business Economics (JBE), 93, 1553–1590.
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    Debener, J., Heinke, V., & Kriebel, J. (2023). Detecting Insurance Fraud Using Supervised and Unsupervised Machine Learning. Journal of Risk and Insurance, forthcoming.
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  • 2022

    Research article (journal)

    Kriebel, J., & Stitz, L. (2022). Credit Default Prediction from User-Generated Text in Peer-to-Peer Lending Using Deep Learning. European Journal of Operational Research, 302(1), 309–323.
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  • 2021

    Research article (book contribution)

    Kriebel, J., & Debener, J. (2021). Textuelle Analysen der Digitalisierungsaktivität von Banken. In FIRM — Frankfurter Institut für Risikomanagement und Regulierung (Ed.), Jahrbuch 2021 (pp. 29–31). Frankfurt: FIRM.
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    Kriebel, J., & Debener, J. (2021). Textual analysis of banks' digitalisation activity. In FIRM — Frankfurter Institut für Risikomanagement und Regulierung (Ed.), Yearbook 2021 (pp. 131–133). Frankfurt: FIRM.
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    Research article in proceedings (conference)

    Debener, J., Heinke, V., & Kriebel, J. (2021). Insurance Fraud and Isolation Forests. In Proceedings of the International Conference on Information Systems (ICIS), TX, Austin.
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    Kriebel, J., & Foege, J. N. (2021). An Institutional Perspective on Digital Transformation. In Proceedings of the International Conference on Information Systems (ICIS), TX, Austin.
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    Research article (journal)

    Blaschke, J., & Kriebel, J. (2021). Robo Advisory Customer Groups: Who Requires Advice?. Die Unternehmung/Swiss Journal of Business Research and Practice, 75(3), 397–410.
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    Kriebel, J., & Pfingsten, A. (2021). Editorial — Machine Learning Methods as Components of Existing Business Models. Die Unternehmung/Swiss Journal of Business Research and Practice, 75(3), 319–323.
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  • 2020

    Research article (journal)

    Kaposty, F., Kriebel, J., & Löderbusch, M. (2020). Predicting Loss Given Default in Leasing — A Closer Look at Models and Variable Selection. International Journal of Forecasting, 36(2).
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    Kriebel, J., & Yam, K. (2020). Forecasting Recoveries in Debt Collection — Debt Collection and Information Production. European Financial Management, 26(3).
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