Healthcare in Fraudster's Crosshairs: Designing, Implementing and Evaluating a Machine Learning Approach for Anomaly Detection on Medical Prescription Claim Data. - Tizian Matschak; Christoph Prinz; Kristin Masuch; Simon Trang 001 (PACIS, 2021)

Towards a Business Process-based Economic Evaluation and Selection of IT Security Measures. - Stephan Kühnel; Stefan Sackmann; Simon Trang 001; Ilja Nastjuk; Tizian Matschak; Laura Niedzela; Leonard Nake (CIISR@Wirtschaftsinformatik, 2021)

A Digitization Pipeline for Mixed-Typed Documents Using Machine Learning and Optical Character Recognition. - Tizian Matschak; Florian Rampold; Malte Hellmeier; Christoph Prinz; Simon Trang 001 (DESRIST, 2022)

A Taxonomy of Machine Learning-based Fraud Detection Systems. - Tizian Matschak; Simon Trang 001; Christoph Prinz (ECIS, 2022)

Show Me Your Claims and I'll Tell You Your Offenses: Machine Learning-Based Decision Support for Fraud Detection on Medical Claim Data. - Tizian Matschak; Christoph Prinz; Florian Rampold; Simon Trang 001 (HICSS, 2022)

The Role of Situational Risk Propensity in Technology Threat Avoidance Behavior. - Tizian Matschak; Theresa Pfaff (Wirtschaftsinformatik, 2022)

Categories of Approaches for IT Security Investment Decisions: A systematic literature review. - Laura Niedzela; Leonard Nake; Tizian Matschak (Wirtschaftsinformatik, 2022)

A Process-Based Approach to Information Security Investment Evaluation: Design, Implementation, and Evaluation. - Tizian Matschak; Ilja Nastjuk; Laura Niedzela; Stephan Kuehnel; Simon Trang 001 (AMCIS, 2023)

A Qualitative Study on Acceptance Factors of Economic Approaches on IT Security Investment Decisions. - Laura Niedzela; Stephan Kuehnel; Ilja Nastjuk; Tizian Matschak; Stefan Sackmann; Simon Trang 001 (AMCIS, 2023)

Applying Dispositional, Situational, and Organizational Risk Propensity to Technology Threat Avoidance Theory - A tripartite View. - Theresa Pfaff; Ilja Nastjuk; Tizian Matschak (ECIS, 2023)

At What Price? Exploring the Potential and Challenges of Differentially Private Machine Learning for Healthcare. - Aycan Aslan; Tizian Matschak; Maike Greve; Simon Trang 001; Lutz M. Kolbe (HICSS, 2023)

How to Foster Compliance in Non-Integrated IT-Landscapes? The Case of Manual Medical Data Transfers. - Gilbert Georg Hövel; Tizian Matschak (CIISR@Wirtschaftsinformatik, 2023)