在线技术转移平台的供需匹配效率分析

Efficiency Analysis of Online Technology Transfer Platform and Supply and Demand Matching

随着互联网技术和应用的发展,越来越多的技术转移平台与互联网结合起来。由于线上技术转移平台的技术转移效率会影响科技成果转化的结果,使之成为学者和业界人士越来越关注的研究问题。从网络平台的特点出发,选取技术供需文本匹配为指标,分析在线技术转移平台的效率问题。运用文本表示模型和相似度计算模型,以2013年至2015年中国技术交易信息服务平台的技术供需文本为样本,计算并评价技术供需文本匹配和语言差异。研究结果表明,网络平台的供需文本匹配度较低,技术供需双方存在显著的语言差异,且语言差异与供需文本匹配存在显著的负相关关系。进一步分析显示,技术需求文本是造成供需语言差异的主要原因,大量的非技术信息削弱了文本内容的有效性。为提升在线技术转移平台效率,提出技术供需文本自动提纯和供需自动匹配优化方案,能够显著提升技术供需文本匹配的效率并降低语言差异。研究结果为评价在线技术转移平台的效率提供了新的视角,有助于提升在线技术转移平台的转移效率,从而促进科技成果的转化。研究提出的优化方案对平台网站的管理实践有一定借鉴意义。

With the development of Internet technology and application, more and more technology transfer platforms are com- bined with the Internet. As technology transfer efficiency of online technology transfer platform can affect the result of the trans- formation of scientific and technological results, it has become a research issue that scholars and practitioners are increasingly concerned about as focusing on. Based on the characteristics of the network platform, this study selects the text matching of technology supply and demand as indicator and analyzes the efficiency of online technology transfer platform. Using text representation model and similarity calcula- tion model, this study calculates and evaluates the technology supply and demand matching and language differences from the sample of the text of the technology of supply and demand in China information technology trading service platform from 2013 to 2015. The results indicate that the network platform has a low demand and supply matching degree. There are significant differ- ences in language between the technical Supply and demand while there is a significant negative correlation between language difference and supply and demand matching. Further analysis shows that the technical text for demand is the main reason for the differences of supply and demand languages, and the large amount of non - technical information weakens the validity of the text content. To improve efficiency of online technology transfer platform, this study puts forward the technology of automatic text pur- ification of supply and demand and the supply and demand of automatic matching optimization, which could significantly improve technical efficiency and reduce the supply and demand matching language differences. The study provides a new perspective for evaluating the efficiency of online technology transfer platform, which can help improve the transfer efficiency of online technology transfer platform, thus promoting the transformation of scientific and technological achievements. The optimization scheme proposed has some references to the managerial practice of the platform website.