Bevilacqua, M., Oketch, K., Qin, R., Stamey, W., Zhang, X., Gan, Y., ... & Abbasi, A. (2025). When automated assessment meets automated content generation: Examining text quality in the era of GPTs. ACM Transactions on Information Systems, 43(2), 1-36. [Link]
Domin, H., Rossi, F., Goehring, B., Ganapini, M., Berente, N., & Bevilacqua, M. (2024). On the ROI of AI ethics and governance investments: From loss aversion to value generation. California Management Review Insights. [Link]
Bevilacqua, M., Kormylo, C., Pedraza-Martinez, A., Angst, C. Keeping the human in humanitarian: A mind perception account of AI's effects on donations to humanitarian organizations. Under Review, Management Science, June 2026. [Link]
Ganapini, M. B., Bevilacqua, M., Berente, N., Goehring, B., & Rossi, F. Making Sense of AI Governance Investments: Instrumental and Value-Based Approaches. Resubmitted a Revise/Resubmit at Business Horizons, April 2026.
Bevilacqua, M., Kormylo, C., Angst, C. Designed to influence: How LLM orientation shapes moral decision-making. Preparing for submission to Management Information Systems Quarterly (MISQ), August 2026.
Bevilacqua, M., Duan, X., Stamey, W., Angst, C. Bridging cultural distance in cross-border vocational training: The role of generative AI guidance in shaping emotional dynamics and capability development. Preparing for submission to Information Systems Research (ISR), Fall 2026.
Bevilacqua, M., Berente, N., Ganapini, M., Goehring, B., Rossi, F. Knowing how and knowing that: How organizations build knowledge to navigate AI's ethical risks. Preparing for submission to Management Information Systems Quarterly (MISQ), Fall 2026.
Calderón, S., Bevilacqua, M., Kelley, K. Measuring Algorithm Aversion: Development and Validation of a Multidimensional Scale. Scale development underway.
Bevilacqua, M., Kormylo, C., Angst, C., Hubbard, T. Preliminaries in studying well-being: Identifying the blind spots involved in collection and consent of healthcare data. Experiment designed; Data collection complete; Conducting analysis.
Berente, N., Bevilacqua, M., Ganapini, M., Goehring, B., & Rossi, F. (2025). The AI Ethics Trust Engine: How Trustworthy AI Helps Convert Capital into Capabilities. IBM Institute for Business Value. [Link]
Berente, N., Rossi, F., Bevilacqua, M., Ganapini, M., Goehring, B., & Domin, H. (2024). Assessing ROI of AI Ethics and Governance Initiatives: Five Real-World Origin Stories. IBM Institute for Business Value. [Link]
Bevilacqua, M., Berente, N., Domin, H., Goehring, B., & Rossi, F. (2023). The Return on Investment in AI Ethics: A Holistic Framework. arXiv preprint arXiv:2309.13057. [Link]