This study empirically investigates the performance of Elastic Machine Learning, an industrial, unsupervised anomaly detection tool, in the identification of fraudulent behavior in banking transactions. Using AI-generated datasets that were designed to simulate realistic banking environments,...

Multi-criteria decision analysis (MCDA) methods for sustainability assessment (SA) have been used in various decision-making processes for energy system transformation. However, concerns remain about the complexity and resource intensity of their application. The literature on MCDA and SA...

Renegotiation after software development is widely adopted by firms to mitigate uncertainties in IT outsourcing. This study examines the design and choice of fixed-price versus performance-based contracts in scenarios where firms may renegotiate software debugging time with the IT vendor after...

Digital platforms alter almost every industry in the modern economy (De Reuver et al., 2018). For instance, in the media industry, there is an increasing shift from traditional media outlets such as newspapers and television to online newspapers, social media, or platforms such as Netflix or...

This paper presents an oTree addon that allows to include face-to-face communication in the form of a video chat in online group experiments. Group decisions, as opposed to individual decision-making, have recently gained considerable attention. The open-source addon is easy to use, exhibits a...

Spatial unit roots can lead to spurious regression results. We present a brief overview of the methods developed in Müller and Watson (2024) to test for and correct for spatial unit roots. We also introduce a suite of Stata commands (-spur-) implementing these techniques. Our commands exactly...