摘要
AI大模型的发展正在重塑技术推动与需求拉动的创新模式,使二者互动机制更加紧密,然而现有文献对AI大模型赋能下需求-技术互动创新过程与机制缺乏探讨.为此,基于技术轨道与市场轨道视角,本文通过分析人工智能大模型在天猫精灵产品创新中的应用,提炼出AI大模型赋能下的技术推动、需求拉动及双轨交互创新路径.研究表明:①传统人工智能技术通过参与技术识别、市场验证和测试发布等环节融入技术推动创新,通过用户需求获取、评估与转化、促进个性化需求挖掘与实现等环节嵌入需求拉动创新;②AI大模型通过促进创新构思与技术演进、双向互动与迭代创新及知识扩展与行业转型,深度赋能技术与需求的协同演进及产业升级;③与传统人工智能技术推动的"技术-需求"弱耦合模式下的创新扩散相比,AI大模型以其拓展"用户属性""创新者职能"及"知识领域"方面的显著优势推动了"技术-需求"强耦合模式下的创新扩散.本文为AI大模型赋能下的企业创新管理和产业升级提供理论依据与实践启示.
Abstract
The development of AI large models is reshaping the innovation model driven by technology-push and demand-pull,making the interaction mechanisms between the two more closely integrated.However,existing literature lacks a systematic discussion on the innovation process driven by the interaction between demand and technology under the influence of AI large models.For this reason,a case study of AI large model-empowered innovation in the Tmall Genie product was conducted,based on the perspectives of the technology track and market track.The pathways for technology-push,demand-pull,and dual-track interactive innovation enabled by AI large models were extracted.The findings indicate that traditional AI technologies contribute to technology-push innovation by participating in stages such as technology identification,market validation,and testing,while also embedding in demand-pull innovation through stages like user need acquisition,evaluation,and transformation,facilitating the discovery and realization of personalized demands.AI large models enable the synergistic evolution of technology and demand,and support industry upgrading by promoting innovation ideation,technological advancement,bidirectional interaction,iterative innovation,knowledge expansion,and transformation.Compared with the innovation diffusion under the weak coupling mode between technology and demand driven by traditional AI,AI large models,with their significant advantages in expanding"user attributes""innovator roles"and"knowledge domains"promote innovation diffusion under the strong coupling mode between technology and demand.It provides theoretical foundations and practical insights for enterprise innovation management and industrial upgrading empowered by AI large models.
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