Donghui Meng, Xianjun Li, Yongfeng Cai, Jiaxin Shi
{"title":"全球自动驾驶汽车技术创新体系中的知识开发和传播模式:基于专利的分析","authors":"Donghui Meng, Xianjun Li, Yongfeng Cai, Jiaxin Shi","doi":"10.1504/IJATM.2019.10019846","DOIUrl":null,"url":null,"abstract":"This study focuses on assessing the knowledge development and diffusion functions of the global autonomous vehicle (AV) technological innovation system (TIS). To that end, this study uses patent portfolio analysis. A comprehensive and dynamic picture is depicted through our evolutionary analysis covering 5,986 AV patents applied for from 1997 to 2016 worldwide, which were assigned to seven relevant sectors (automotive, machinery, aircraft/defence, electronics, information/software service, mobility/logistics service, and research) and focused on five key technology categories (control and actuation, perception and localisation, computation, communication, and system integration). Three key findings from our study are: 1) sectors differ in terms of the amount of knowledge they developed and the distribution of knowledge across technology categories; 2) different sectors and technology categories have uneven roles in the global knowledge diffusion network; 3) knowledge development and diffusion patterns exhibit significant evolutionary tendencies. Our research deepens the current understanding of the dynamics of AV innovation and contributes to TIS theory.","PeriodicalId":35873,"journal":{"name":"International Journal of Automotive Technology and Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Patterns of knowledge development and diffusion in the global autonomous vehicle technological innovation system: a patent-based analysis\",\"authors\":\"Donghui Meng, Xianjun Li, Yongfeng Cai, Jiaxin Shi\",\"doi\":\"10.1504/IJATM.2019.10019846\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study focuses on assessing the knowledge development and diffusion functions of the global autonomous vehicle (AV) technological innovation system (TIS). To that end, this study uses patent portfolio analysis. A comprehensive and dynamic picture is depicted through our evolutionary analysis covering 5,986 AV patents applied for from 1997 to 2016 worldwide, which were assigned to seven relevant sectors (automotive, machinery, aircraft/defence, electronics, information/software service, mobility/logistics service, and research) and focused on five key technology categories (control and actuation, perception and localisation, computation, communication, and system integration). Three key findings from our study are: 1) sectors differ in terms of the amount of knowledge they developed and the distribution of knowledge across technology categories; 2) different sectors and technology categories have uneven roles in the global knowledge diffusion network; 3) knowledge development and diffusion patterns exhibit significant evolutionary tendencies. Our research deepens the current understanding of the dynamics of AV innovation and contributes to TIS theory.\",\"PeriodicalId\":35873,\"journal\":{\"name\":\"International Journal of Automotive Technology and Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Automotive Technology and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJATM.2019.10019846\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Automotive Technology and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJATM.2019.10019846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
Patterns of knowledge development and diffusion in the global autonomous vehicle technological innovation system: a patent-based analysis
This study focuses on assessing the knowledge development and diffusion functions of the global autonomous vehicle (AV) technological innovation system (TIS). To that end, this study uses patent portfolio analysis. A comprehensive and dynamic picture is depicted through our evolutionary analysis covering 5,986 AV patents applied for from 1997 to 2016 worldwide, which were assigned to seven relevant sectors (automotive, machinery, aircraft/defence, electronics, information/software service, mobility/logistics service, and research) and focused on five key technology categories (control and actuation, perception and localisation, computation, communication, and system integration). Three key findings from our study are: 1) sectors differ in terms of the amount of knowledge they developed and the distribution of knowledge across technology categories; 2) different sectors and technology categories have uneven roles in the global knowledge diffusion network; 3) knowledge development and diffusion patterns exhibit significant evolutionary tendencies. Our research deepens the current understanding of the dynamics of AV innovation and contributes to TIS theory.
期刊介绍:
IJATM is a vehicle to provide a refereed and authoritative source of information in the field of automotive technology, automotive management and related disciplines.