Sustainable Business Model Design for Generative AI
Abstract
As the future commercial development direction of digital art, AI painting provides designers with creative auxiliary functions. At the same time, it also raises a series of issues in the operation of business models, such as: How to make the generative AI industry sustainable in the domestic market? Business model? How does generative AI take root in Chinese society? What sustainability-oriented generative AI operations can be applied in bottom-up business models in the market?This study analyzes how the concept of sustainability is scientifically applied in the generative AI business model in the Chinese market. First, it conducts user research from the perspective of professional users in the creative design field who use generative AI the most. Divide users into three categories based on their usage behavior and needs: senior users, general users, design art students and other potential users. Conduct in-depth interviews, questionnaire surveys, and live interactive data collection for these three categories of users respectively, and process them through analysis From the above data, we can derive the corresponding needs of different users. Then the business model canvas proposed by Ostwald & Pinel (2009) was used as the theoretical basis of the research, and a customer (user)-centered semantic replacement of various elements related to the entire business model was constructed. , and automatically screened out influential variables through a stepwise regression model, and improved the design of the business model based on this business model structure. In this way, the demand analysis of three types of people for generative AI and the relationship model between user factors and business impact of generative AI were constructed. Based on the O2O development model, we integrate the existing resources of generative AI and drive continuous iteration and innovation at all levels such as product design, service model and user experience according to customer (user) needs, thus promoting the development of generative AI in China. Sustainable development, this research has certain reference value for the future development of AI industry business models in China in other fields.
Keywords: professional users, sustainability, business model design, generative AI
DOI: 10.54941/ahfe1005735
Cite this paper
More from this volume
- Implementing an AI Fatigue Risk Management System for Aviation Maintenance SMS: A Technology Enhanced Critical Process Human Factors Safety Plan
- Deep Learning Forecast of Perceptual Load Using fNIRS Data
- Artificial intelligence in the function of improving port systems
- Formalizing Trust in Artificial Intelligence for Built Environment Decision-Making
- Artificial Intelligence and Design: Innovation, Practical Applications, and Future Creative Horizons
- Supporting Informal Sustainability Learning with AI-assisted Educational Technology
- An assessment of the maintenance of heritage buildings using AI and IoT: a South African perspective
- What if we Could Entangle Drones? Towards the Management of a Swarm of Drones as a Non-Local Quantum Object
- Engaging All Elderly Residents in Community Renewal: Designer Spotlight Interview Tool for LLM Building
- AI Play in Higher Education: Students’ perceptions of play and co-creation of knowledge with generative AI
- Optimizing AI Involvement in Engineering University Courses Based on Students' Personality
- Predictive Model for Partner Agencies Dependency on Food Banks


AHFE Open Access