首页|动态视域下基于生成式拓扑映射的潜在研发商业化机会识别研究

动态视域下基于生成式拓扑映射的潜在研发商业化机会识别研究

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在竞争日益激烈的市场环境中,客观精准识别潜在研发商业化机会对企业降低盲目创新风险进而抢占市场先机至关重要.本文从动态视域出发,利用商标及专利文本数据,提出了一种基于生成式拓扑映射的潜在研发商业化机会识别方法.通过商标空白的映射与逆映射、商标空白与专利的文本相似度计算,结合商标空白的主题演化分析结果,精准识别出了潜在研发商业化机会.最后以智能家居系统领域为例,验证了本文所提方法的有效性.研究结果表明,通过揭示所选目标领域商业空白的演化路径,可识别出该领域具有潜在研发商业价值的研发商业化机会,进而为企业高效开展技术与市场创新提供靶向性参考思路.
Identification of Potential R&BD Opportunities by Generative Topogrophic Map-ping from a Dynamic Perspective
In the face of an increasingly competitive market environment,it is important for enterprises to objectively and accurately identify potential Research,Business and Development(R&BD)opportunities to reduce the risks of blind innovation and seize market advantages.From a dynamic perspective,this paper proposes a method for identifying potential R&BD opportunities by generative topogrophic mapping using trademark and patent texts.Through the mapping and inverse mapping of trademark blank,combined with the text similarity calculation of trademark blank and patent and theme evolution analysis results of trademark blank,the potential R&BD opportunities are accurately identified for enterprises.Finally,the effectiveness of the proposed method is verified by taking the smart home system as an example.The research results show that the gradual filling or replacement of business gaps in the selected target areas can reveal different paths of its evolution,thus identifying the technical opportunities with potential R&BD value,and then provi-ding targeted reference ideas for enterprises to efficiently carry out technological innovation.

Dynamic visionR&BDOpportunities identificationGenerative topogrophic mappingEvo-lution of trademark blank themeText similarity

冯立杰、李鹏月、王金凤、张珂、林国义

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郑州大学管理学院,郑州,450001

上海海事大学物流工程学院,上海,201306

上海海事大学中国(上海)自贸区供应链研究院,上海,201306

郑州大学信息管理学院,郑州,450001

桂林电子科技大学商学院,桂林,541004

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动态视域 研发商业化 机会识别 生成式拓扑映射 商标空白主题演化分析 文本相似度

河南兴文化工程文化研究专项郑州大学青年人才企业合作创新团队支持计划河南省科技发展计划河南省软科学研究项目(2024)

2022XWH082242400410330

2024

10.13365/j.jirm.2024.03.149

信息资源管理学报
中国高校科技期刊研究会,武汉大学

信息资源管理学报

CSSCICHSSCD
影响因子：0.885
ISSN：2095-2171
年,卷(期)：2024.14(3)