AI-Based Design Science Research: An Exploratory Framework for Leveraging Artificial Intelligence in Design Science Research

Gau, M.; Kretzer, F.; Maedche, A.; vom Brocke, J.

Abstract

Design Science Research (DSR) has proven effective in generating knowledge on innovative solutions to real-world problems. DSR methodology has matured with DSR processes involving multiple design phases, each requiring distinct skills and resources. Previous work, however, has primarily considered humans to conduct DSR tasks. At the same time, in many areas of our modern lives, we increasingly see the use of artificial intelligence (AI) in value-adding human-AI collaborations. This research investigates the potential of AI to support and enhance DSR. Drawing from recent advancements in AI applications across various domains, we explore how AI technologies can be systematically integrated into different DSR tasks. We propose an exploratory framework that provides guidance for researchers and practitioners seeking to leverage AI in DSR. We examine the potential benefits of AI integration in each task. The research contributes to the advancement of DSR methodology by exploring AI integration in DSR, potentially increasing efficiency and effectiveness in design knowledge creation and reuse. Our findings suggest that while AI can significantly enhance DSR activities, success requires careful consideration of AI capabilities and limitations within each task. Our work addresses an important gap in current DSR literature by suggesting AI integration while maintaining the methodological rigor essential to design science research.

Keywords
Artificial Intelligence; Design Support; Research Methodology; AI-based Design; DSR