中国互联网平台商的技术竞争力:利用专利文本信息比较谷歌和百度

Kazuyuki Motohashi, Chen Zhu
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引用次数: 0

摘要

目的本研究旨在评估中国互联网平台(BAT:百度、阿里巴巴、腾讯)与美国互联网平台(GAFA:谷歌、亚马逊、Facebook、苹果)相比的技术能力。更具体地说,本研究通过分析百度的专利文本信息,探讨百度在技术上追赶谷歌的过程。设计/方法/方法作者从 PATSTAT 2019 Spring 版本中检索了 26383 项谷歌专利和 6695 项百度专利。首先使用Word2Vec模型对收集到的专利文档进行矢量化,然后应用K-means聚类对两家公司的技术空间进行可视化。研究结果表明,百度的技术发展趋势是追随美国而非中国,这表明百度在技术发展过程中正在积极追赶美国企业。同时,百度专利的影响指数随着时间的推移而增加,这反映了百度技术竞争力的提升。由于中美两国都是互联网行业的重要参与者,因此第三国的政策制定者必须了解两国的技术能力和竞争力,以便有效地发展战略伙伴关系。
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Technological competitiveness of China's internet platformers: comparison of Google and Baidu by using patent text information
Purpose This study aims to assess the technological capability of Chinese internet platforms (BAT: Baidu, Alibaba, Tencent) compared to US ones (GAFA: Google, Amazon, Facebook, Apple). More specifically, this study explores Baidu’s technological catching-up process with Google by analyzing their patent textual information. Design/methodology/approach The authors retrieved 26,383 Google patents and 6,695 Baidu patents from PATSTAT 2019 Spring version. The collected patent documents were vectorized using the Word2Vec model first, and then K-means clustering was applied to visualize the technological space of two firms. Finally, novel indicators were proposed to capture the technological catching-up process between Baidu and Google. Findings The results show that Baidu follows a trend of US rather than Chinese technology which suggests Baidu is aggressively seeking to catch up with US players in the process of its technological development. At the same time, the impact index of Baidu patents increases over time, reflecting its upgrading of technological competitiveness. Originality/value This study proposed a new method to analyze technology mapping and evolution based on patent text information. As both US and China are crucial players in the internet industry, it is vital for policymakers in third countries to understand the technological capacity and competitiveness of both countries to develop strategic partnerships effectively.
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来源期刊
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发文量
7
审稿时长
24 weeks
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