Service System Configuration and their AI-supported prototyping

Abstract

This study explores how a service system can be expressed in the direction of service innovation by updating and empowering the components using AI and digitalization in the service value creation architecture proposed in the previous issue. Based on the AI R&D and innovation methods in industrial and regional activities that the authors have experienced, we have proposed a method to think about the empowerment of components of service systems and the possibility of solutions through AI and digitalization. The method is applied to DX (digital transformation) to map practices including AI for different service areas in our business administration classes. These case studies show not only how the service elements in the service system are updated, but also how the future innovative service is designed to solve business and social problems. In addition, the practice of AI prototyping using no-code tools demonstrates the possibility of tools for predicting the maturity of service systems from a technology management perspective.