Causal Machine Learning in Information Systems Research
Abstract
Researchers aim to identify causal relationships to understand the world and develop theories, while practitioners and especially managers focus on how their actions produce effects in order to guide decisions. With the recent advancements in machine learning, a new and promising class of methods has emerged for causal inference: causal machine learning (causal ML).
Fields of Study & Subjects
Bayesian Modeling and Causal Inference
Explainable Artificial Intelligence (XAI)
Qualitative Comparative Analysis Research
Publication details
- Journal / source
- Business & Information Systems Engineering
- Publisher
- Springer Science and Business Media LLC
- Volume
- 68
- Issue
- 2
- Pages
- 235–242
- Publication date
- 28 March 2026
- Language
- EN