JISARA

Abstract: The organizational adoption and use of computer systems incorporating artificial intelligence (AI) or robotic process automation (RPA) is increasing. The goals are to streamline business processes and improve their efficiency and effectiveness. However, the adoption and use of these AI technologies can manifest complications in human/system interfaces in diverse parts of the organization. Design science research (DSR) emphasizes the creation of innovative artifacts and computer solutions, keeping user goals at the forefront, and has the potential to avert such downstream system issues. Successful systems must be designed to easily coexist with humans and support the collaboration between human and machine actors. This research study investigates the impact of applying design science methodologies in the implementation of automated systems that incorporate AI or RPA. The interview data is collected and analyzed from an agricultural dairy farm automation case study. The results support the benefits of using DSR methodology and are applicable to any AI-based system design/implementation with human components.

Download this article: JISARA - V18 N1 Page 42.pdf

Recommended Citation: Ghosh, B., (2025). Applying Design Science to RPA and AI-Based Systems. Journal of Information Systems Applied Research and Analytics 18(1) pp 42-50. https://doi.org/10.62273/ORIT3319