Many organizations are struggling to deploy artificial intelligence (AI) solutions due to widely discussed challenges such as lack of financial resources, AI knowledge expertise, and limited data access, but also due to development silos that do not facilitate a holistic approach in solving problems or fostering innovation. We address these challenges by building on design science research and developing a socio-technical artifact, i.e., design principles for reusable AI solutions. We draw on Wenger´s Community of Practice concept to refine and evaluate our artifact via design thinking workshop, focus group discussion, and expert interviews. We contribute to the growing literature on building sustainable business practices and green information systems stream by developing and eval-uating design requirements, and design principles that provide organizations with guidance on how to design AI solutions in a reusable and therefore sustainable manner.
Omerovic Smajlovic, Mirheta; Zöll, Anne; and Rami, Alhasan, "Building Sustainable Business Practices: Design Principles for Reusable Artificial Intelligence" (2023). Wirtschaftsinformatik 2023 Proceedings. 55.