摘要
[研究目的]面对日益复杂的技术挑战和市场变化,为新能源车企高效辨识具有发展潜力的技术机会,对其维持竞争优势具有重要意义。[研究方法]提出了一种融合BERTopic主题提取、链路预测和技术生命周期动态评估的技术机会发现方法。通过BERTopic算法深入分析专利文本,精准提取关键词以构建技术网络,并采用链路预测方法初步识别潜在技术机会。进一步地,基于动态和静态评估指标对这些机会进行双重评估,筛选出与企业战略相契合的技术机会。[研究结果/结论]以比亚迪为例,识别出燃料电池、可变速系统、输出轴等39项技术机会,验证了方法的有效性。该方法在一定程度上弥补了传统关键词提取方法对专利文本语义关系考虑不足的局限性,缓解了静态评估难以洞察技术机会未来发展趋势的难题。
[Research purpose]Faced with increasingly complex technological challenges and market change,it is crucial for new energy vehicle enterprises to efficiently identify technology opportunities with development potential to maintain their competitive advantages.[Research method]This study proposes an integrated approach for technology opportunity discovery that combines BERTopic topic extraction,link prediction,and dynamic assessment using technology lifecycle theory.By deeply analyzing patent texts with the BERTopic algorithm,keywords are precisely extracted to construct a technology network,and link prediction methods are employed to preliminarily identify potential technology opportunities.Subsequently,these opportunities are evaluated through a dual assessment process that incorporates dynamic and static evaluation indicators,ensuring the selection of technology opportunities that align with corporate strategy.[Research result/conclusion]Taking BYD as an example,39 technological opportunities were identified,including fuel cells,variable speed systems,and output shafts,verifying the effectiveness of the method.This method to some extent compensates for the limitations of traditional keyword extraction methods in considering the semantic relationship of patent texts,alleviates the difficulty of static evaluation in understanding the future development trend of technological opportunities.
作者
任嵘嵘
项李梅
徐文哲
赵萌
Ren Rongrong;Xiang Limei;Xu Wenzhe;Zhao Meng(Northeastern University,Shenyang 110819;Northeastern University,Qinhuangdao 066004)
出处
《情报杂志》
北大核心
2025年第5期147-155,共9页
Journal of Intelligence
基金
国家自然科学基金项目“需求与技术双驱动的数智赋能新能源汽车创新设计决策方法研究”(编号:72371066)
教育部人文社会科学基金资助项目“基于用户生成内容的消费者需求挖掘分析方法与应用研究”(编号:22YJA630119)
河北省教育厅新文科研究与改革实践项目“智慧化环境下新文科教师教学方法创新与实践”(编号:2021GJXWK0524)研究成果。
作者简介
任嵘嵘,女,1975年生,博士研究生,教授,研究方向:智能决策、战略管理、科普评估等;项李梅,女,2001年生,硕士研究生,研究方向:智能决策;徐文哲,女,2003年生,本科生,研究方向:智能决策;通信作者:赵萌,女,1981年生,博士,教授,研究方向:智能决策、新能源汽车运营和产品政策、创新产品设计与决策等。
