000048724 000__ 02726cam\a22004455i\4500 000048724 001__ 48724 000048724 003__ SzGeWIPO 000048724 005__ 20231208191516.0 000048724 006__ m eo d 000048724 007__ cr bn |||m|||a 000048724 008__ 231128s2019 sz|||||| |||||000|0 eng|d 000048724 022__ $$a2159-5100 000048724 0247_ $$2doi$$a10.23919/PICMET.2019.8893774 000048724 035__ $$a(OCoLC)1412051985 000048724 040__ $$aSzGeWIPO$$beng$$erda$$cSzGeWIPO$$dCaBNVSL 000048724 041__ $$aeng 000048724 24500 $$aInnovation Strategy and Technological Catch-Up of Chinese Internet Giants :$$bEvidence Based on Patent Data. 000048724 264_1 $$aUnited States :$$b[IEEE],$$c2019. 000048724 300__ $$a1 volume 000048724 336__ $$atext$$btxt$$2rdacontent 000048724 337__ $$aunmediated$$bn$$2rdamedia 000048724 338__ $$avolume$$bnc$$2rdacarrier 000048724 4901_ $$aIEEE Electronic Library (IEL) Conference Proceedings ;$$v2019 Portland International Conference on Management of Engineering and Technology (PICMET), ppages 9-14, 2019 000048724 520__ $$aA new generation of information technology (IT), such as artificial intelligence, cloud computing, internet of things, has been transforming production and business across the world profoundly. While Chinese internet companies begin to play an increasingly important role in the global digital economy by pushing forward the technological frontier, existing studies focus on their business models and ignore their rising technological capabilities. Based on natural language processing (NLP) based text mining and network analysis of patent data, this paper examines whether and how IT companies realize technological catch-up through innovation in emerging economies by comparing three leading internet giants in China, namely, Baidu, Alibaba and Tencent with their US counterparts. In particular, it investigates these three technological companies' innovation strategy by analyzing their (1) patent portfolios, technological focus, patenting patterns and trends, and (2) the technological difference between them and their US peers. 000048724 588__ $$aCrossref 000048724 590__ $$aPublished online: 07- Nov-19 000048724 650_0 $$aPatents. 000048724 650_0 $$aText data mining. 000048724 650_0 $$aTechnological innovation. 000048724 650_0 $$aInternet$$xLaw and legislation. 000048724 650_0 $$aCopyright. 000048724 7001_ $$aZhang, Chenghuan,$$eauthor. 000048724 7001_ $$aTsukioka, Koichi,$$eauthor. 000048724 7001_ $$aYin, Deyun,$$eauthor. 000048724 7001_ $$aMotohashi, Kazuyuki,$$eauthor. 000048724 7730_ $$tIEEE Electronic Library (IEL) Conference Proceedings 000048724 830_0 $$aIEEE Electronic Library (IEL) Conference Proceedings ;$$v2019 Portland International Conference on Management of Engineering and Technology (PICMET), ppages 9-14, 2019. 000048724 85641 $$uhttps://ieeexplore.ieee.org/document/8893774$$yOnline version 000048724 904__ $$aArticle 000048724 980__ $$aBIB