信息资源管理学报 ›› 2024, Vol. 14 ›› Issue (3): 149-160.doi: 10.13365/j.jirm.2024.03.149

• 研究论文 • 上一篇    

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

冯立杰1，2　李鹏月1　王金凤3　张珂4　林国义5   

  1. 1.郑州大学管理学院，郑州，450001
    2.上海海事大学物流工程学院，上海，201306
    3.上海海事大学中国（上海）自贸区供应链研究院，上海，201306
    4.郑州大学信息管理学院，郑州，450001
    5.桂林电子科技大学商学院，桂林，54100
  • 出版日期:2024-05-26 发布日期:2024-06-14
  • 作者简介:冯立杰，博士，教授，研究方向为技术创新与管理；李鹏月，硕士生，研究方向为技术与商业创新；王金凤，博士，教授，研究方向为工业工程与创新方法；张珂（通讯作者），博士，讲师，研究方向为产品创新，Email：kezhang@zzu.edu.cn；林国义，博士，教授，研究方向为机器学习。
  • 基金资助:
    本文系河南兴文化工程文化研究专项项目“创新驱动战略下河南企业创新管理的机制及路径研究”（2022XWH082）、郑州大学青年人才企业合作创新团队支持计划项目“中原企业科技起高峰的创新方法应用研究”、河南省2024年科技发展计划河南省软科学研究"创新驱动高质量发展下河南省专精特新企业核心技术突破机制及创新路径研究"（242400410330）的研究成果。

Identification of Potential R&BD Opportunities by Generative Topogrophic Mapping from a Dynamic Perspective

Feng Lijie1,2　Li Pengyue1　Wang Jinfeng3　Zhang Ke4　Lin Kuoyi5   

  1. 1.School of Management, Zhengzhou University, Zhengzhou, 450001
    2. School of Logistics Engineering, Shanghai Maritime University, Shanghai, 201306
    3.China (Shanghai) Free Trade Zone Supply Chain Research Institute, Shanghai Maritime University, Shanghai, 201306
    4. School of Information Management, Zhengzhou University, Zhengzhou, 450001
    5.School of Business, Guilin University of Electronic Technology, Guilin,541004
  • Online:2024-05-26 Published:2024-06-14
  • About author:Feng Lijie, Ph.D., professor, research interests in technological innovation and management; Li Pengyue, master student, research interests in technology and business innovation; Wang Jinfeng, Ph.D, professor, research interests in industrial engineering and innovative methods; Zhang Ke(Corresponding author), Ph.D., lecturer, research interests in product innovation, Email: kezhang@zzu.edu.cn; Lin Kuoyi, Ph.D., professor, research interests in machine learning.
  • Supported by:
    Henan Xing culture engineering culture research special project "Research on the Mechanism and Path of Innovation Management of Henan Enterprises under the Innovation-driven Strategy"(2022XWH082)); Zhengzhou University youth talent enterprise cooperation innovation team support program project: 'Application Research on Innovative Methods for Reaching the Peak of Science and Technology in Central Plains Enterprises'; Henan province soft science research project of the Henan province science and technology development plan for the Year 2024: Research on Core Technology Breakthrough Mechanisms and Innovation Paths of Specialized and New Enterprises in Henan Province under the Drive of Innovation-Driven High-Quality Development(242400410330).

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摘要： 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。

关键词: 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

Abstract: 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 providing targeted reference ideas for enterprises to efficiently carry out technological innovation.

Key words: Dynamic vision, R&BD, Opportunities identification, Generative topogrophic mapping, Evolution of trademark blank theme, Text similarity

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