Sustainable Technology Management: A Causal Loop Analysis of Circular Economy Adoption and Stakeholder Dynamics

This study presents a dynamic causal loop diagram (CLD) as the expected outcome, representing a dynamic hypothesis, to explore the relationships within sustainable Technology Management initiatives, Circular Economy model adoption, and the integration of Artificial Intelligence (AI). Rooted in Systems Engineering and Technology Management, our investigation employs holistic systems thinking to reveal feedback loops and causal connections, supporting strategic planning and decision-making in technology-centric ecosystems. The developed CLD illustrates that adopting Circular Economy models influences AI integration within sustainable Technology Management initiatives, enabling advanced data analytics and predictive modeling to strengthen agile and sustainable practices. This research addresses crucial aspects of incorporating Circular Economy practices and seamlessly integrating AI. The significance lies in the increasing need for sustainable practices, emphasizing the recognition of biases, societal perceptions, and collaborative dynamics among stakeholders. By providing actionable intelligence, this paper serves as a bridge from theory to practice, offering a guide for sustainably managing technology. The CLD is a roadmap for making informed decisions in our ever-changing world.