市场需求—企业技术能力双重视域下的技术机会识别
F273.1; 针对市场驱动的技术机会识别研究中因市场需求的高度不确定性,以及企业常常忽视自身技术能力等问题,提出一种市场需求—企业技术能力双重视域下的技术机会识别路径.在搜集具象领域技术及需求数据并进行预处理的基础上,运用潜在狄利克雷分布主题模型分别提取了技术和市场需求主题,并利用词向量模型将其向量化;基于关联规则挖掘的协同技术主题剖析了目标企业的技术能力,并利用社区发现算法协同市场需求主题,以挖掘市场需求;通过余弦相似度计算企业技术能力和市场需求之间的相似性,进而提取市场需求对应的技术知识,依此构建技术知识网络,利用链路预测算法识别网络中的潜在技术机会.最后以新能源汽车电池技术为例验证了所...
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| Published in | 计算机集成制造系统 Vol. 31; no. 2; pp. 647 - 660 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
上海海事大学 经济管理学院,上海 201306%上海海事大学 经济管理学院,上海 201306%北京大学工学院,北京 100091%上海大学悉尼工商学院,上海 200444
28.02.2025
上海大学管理学院,上海 200444 上海海事大学中国(上海)自贸区供应链研究院,上海 201306 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1006-5911 |
| DOI | 10.13196/j.cims.2023.0723 |
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| Abstract | F273.1; 针对市场驱动的技术机会识别研究中因市场需求的高度不确定性,以及企业常常忽视自身技术能力等问题,提出一种市场需求—企业技术能力双重视域下的技术机会识别路径.在搜集具象领域技术及需求数据并进行预处理的基础上,运用潜在狄利克雷分布主题模型分别提取了技术和市场需求主题,并利用词向量模型将其向量化;基于关联规则挖掘的协同技术主题剖析了目标企业的技术能力,并利用社区发现算法协同市场需求主题,以挖掘市场需求;通过余弦相似度计算企业技术能力和市场需求之间的相似性,进而提取市场需求对应的技术知识,依此构建技术知识网络,利用链路预测算法识别网络中的潜在技术机会.最后以新能源汽车电池技术为例验证了所提方法的可行性. |
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| AbstractList | F273.1; 针对市场驱动的技术机会识别研究中因市场需求的高度不确定性,以及企业常常忽视自身技术能力等问题,提出一种市场需求—企业技术能力双重视域下的技术机会识别路径.在搜集具象领域技术及需求数据并进行预处理的基础上,运用潜在狄利克雷分布主题模型分别提取了技术和市场需求主题,并利用词向量模型将其向量化;基于关联规则挖掘的协同技术主题剖析了目标企业的技术能力,并利用社区发现算法协同市场需求主题,以挖掘市场需求;通过余弦相似度计算企业技术能力和市场需求之间的相似性,进而提取市场需求对应的技术知识,依此构建技术知识网络,利用链路预测算法识别网络中的潜在技术机会.最后以新能源汽车电池技术为例验证了所提方法的可行性. |
| Abstract_FL | Identifying potential technology opportunities from the perspective of market demand and technological ca-pability is crucial for enterprises to gain a first-mover advantage in the market.In view of the high uncertainty of market demand and the fact that enterprises often ignore their own technical capability in the research of market-driven technological opportunity identification,a new approach to identify technological opportunities from the dual perspective of market demand-enterprise technical capability was proposed.On the basis of collecting and prepro-cessing the data of technology and demand in the concrete domain,the Latent Dirichlet Allocation(LDA)topic model was used to extract the technology and market demand topics respectively,and the Word to vector(Word2vec)model was used to vectorize them.The collaborative technology topic based on association rules mining analyzed the technical ability of the target enterprise.The community discovery algorithm was employed to coordinate the market demand topic to achieve the mining of market demand.The similarity between enterprise tech-nical capability and market demand was calculated by cosine similarity,and then the technical knowledge meeting the market demand was extracted.Based on this,the technical knowledge network was constructed,and the link prediction algorithm identified the potential technical opportunities in the network.Finally,the new energy vehicle battery technology was taken as an example to verify the feasibility of the proposed method.The application results showed that the technology opportunity identification path under the dual perspective of market demand-enterprise technical capability could provide a theoretical reference for enterprises in the field of concrete technology to carry out technological innovation activities efficiently. |
| Author | 吴启凡 冯奕程 赵伟宇 王金凤 |
| AuthorAffiliation | 上海海事大学中国(上海)自贸区供应链研究院,上海 201306;上海海事大学 经济管理学院,上海 201306%上海海事大学 经济管理学院,上海 201306%北京大学工学院,北京 100091%上海大学悉尼工商学院,上海 200444;上海大学管理学院,上海 200444 |
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| Author_FL | WU Qifan FENG Yicheng WANG Jinfeng ZHAO Weiyu |
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| Author_xml | – sequence: 1 fullname: 王金凤 – sequence: 2 fullname: 吴启凡 – sequence: 3 fullname: 冯奕程 – sequence: 4 fullname: 赵伟宇 |
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| Keywords | 关联规则挖掘 technology opportunity identification market demand link prediction 企业技术能力 链路预测 enterprise technical capability association rules mining 技术机会识别 市场需求 |
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| Title | 市场需求—企业技术能力双重视域下的技术机会识别 |
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