Interview - 20 11 2024 - DSR-Academy
HAMED ZOLBANIN
Hamed Zolbanin is an Assistant Professor of Business Analytics at the University of Dayton, where he focuses on leveraging machine learning and data analytics to address critical challenges in information systems and decision-making. His research integrates machine learning with design science principles to solve complex, real-world problems, positioning him as an emerging voice in this evolving field.
In this interview, Zolbanin discusses his paper, "A Process Model for Design-Oriented Machine Learning Research in Information Systems," published in the Journal of Strategic Information Systems. The paper outlines a structured framework combining design science research (DSR), action design research (ADR), and CRISP-DM principles to enhance the rigor of machine learning applications. Zolbanin highlights how the model addresses key challenges, providing clear steps for data preparation, artifact development, and evaluation, and reflects on its potential to unify standards for ML studies in information systems.
YouTube Transcript