An integrated GenAI-driven method for automating ideation with user-generated content
本文基于设计科学方法论和用户创新理论，开发并评估了一种集成生成式人工智能的方法，该方法通过构建客户意见知识库和基于生成式人工智能的创意生成两个阶段，自动完成从识别客户需求到生成新创意的全过程，为利用用户生成内容推动客户驱动创新提供了可扩展的综合解决方案。
Customer-driven innovation relies on leveraging customer insights to develop or improve products that meet evolving customer needs and preferences. Central to this innovation is the ideation process that involves two key stages: identifying customer needs and generating new ideas. While user-generated content offers a rich source of consumer insights, existing approaches for automating the ideation process—including unsupervised learning, supervised learning, deep learning, text summarization and GenAI—face limitations that restrict their scalability and practical utility. Moreover, these approaches often address only isolated stages of the ideation process. Based on a design science methodology and grounded in the user innovation theory, this paper develops and evaluates an integrated GenAI-driven method that automates the ideation process. The method consists of two stages: (1) customer opinion knowledgebase construction and (2) GenAI-based idea generation. The proposed GenAI-driven method offers an adaptable, scalable, and comprehensive solution for advancing customer-driven innovation. • Develop an integrated GenAI-driven method that automates the ideation process.. • Customer opinion knowledgebase construction and GenAI-based idea generation • A more comprehensive solution for advancing customer-driven innovation.