摘要
目的颠覆式创新是企业实现跨越式追赶的重要路径,针对当前识别颠覆式创新机会的不足,基于知识基因与深度学习协同优化,提出设计驱动的颠覆式创新早期识别方法。方法梳理知识视角下设计驱动的颠覆式创新流程,针对创新模糊前端阶段并基于“产品知识基因”的概念,首先通过大数据文本分析方法洞察用户未来需求,进行产品意义重构;其次对相关领域专利数据进行“主语—行为—宾语”结构与“技术—关系—技术”结构语义分析并建立产品知识库;最后在此基础上类比基因工程思维模式重组技术方案,寻求产品颠覆式创新。结论以未来空调为设计研究对象,验证研究方法的可行性与有效性,能够帮助企业识别颠覆式创新设计机会,对优化资源配置和规划设计战略具有现实指导价值。
Disruptive innovation is an important path for enterprises to achieve leapfrog catch-up.In view of the lack of current identification of subversive innovation opportunities,the work aims to propose a design-driven early identification method of disruptive innovation based on the collaborative optimization of knowledge gene and in-depth learning.Combing the design-driven disruptive innovation process from the perspective of knowledge,and aiming at the fuzzy front-end stage of innovation and based on the concept of"product knowledge gene",firstly,the big data text analysis method was used to gain insight into the future needs of users and reconstruct the meaning of the product.Secondly,the semantic analysis of"subject-behavior-object"structure and"technology-relation-technology"structure of patent data in related fields was carried out,and the product knowledge base was established.On this basis,the technical scheme of genetic engineering thinking mode reorganization was compared to seek disruptive innovation of product.Verifying the feasibility and effectiveness of the research method with the future air conditioner as the design research object can help enterprises to identify disruptive innovative design opportunities,and has practical guiding value for optimizing resource allocation and planning and design strategy.
作者
魏楚凡
刘键
席上琳
黄赛
WEI Chu-fan;LIU Jian;XI Shang-lin;HUANG Sai(College of Art and Design,Beijing University of Technology,Beijing 100124,China)
出处
《包装工程》
CAS
北大核心
2023年第10期40-53,146,共15页
Packaging Engineering
基金
教育部2021年第2批产学合作协同育人项目(202102055017)
北京工业大学国际合作交流项目(2021A18)
教育部人文社科项目(20YJC760034)。
关键词
颠覆式创新
设计驱动
产品意义
产品知识基因
产品知识库
disruptive innovation
design-driven
product meaning
product knowledge gene
product knowledge base