{"title":"3D打印技术跨行业扩散影响因素分析","authors":"Yuanyuan Shi, Lucheng Huang","doi":"10.23919/PICMET.2017.8125368","DOIUrl":null,"url":null,"abstract":"With the rapid development of technology, growing number of technology diffusion not only appears among different technology sectors, but also appears among different industry sectors. It shows high level of complexity. The influencing factors of technology diffusion is complicated and gradually become a hot academic research field. We take the 3D printing technology as the research object, using patent citation data computing industry association strength and building the VAR model that including the factors of technology diffusion degree, R&D investment, R&D organization, R&D staff, and market capacity. By collecting data from related statistical yearbook, conduct Granger causality test, impulse response and variance decomposition analysis to the above model. The empirical results show that volatility of the technology diffusion is influenced by itself and R&D investment, R&D organization, R&D staff, and market capacity. This effect is of certain continuity, but the influences of different factors on the technology diffusion have great difference.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influencing Factors Analysis of 3D Printing Technology Diffusion Across Industries\",\"authors\":\"Yuanyuan Shi, Lucheng Huang\",\"doi\":\"10.23919/PICMET.2017.8125368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of technology, growing number of technology diffusion not only appears among different technology sectors, but also appears among different industry sectors. It shows high level of complexity. The influencing factors of technology diffusion is complicated and gradually become a hot academic research field. We take the 3D printing technology as the research object, using patent citation data computing industry association strength and building the VAR model that including the factors of technology diffusion degree, R&D investment, R&D organization, R&D staff, and market capacity. By collecting data from related statistical yearbook, conduct Granger causality test, impulse response and variance decomposition analysis to the above model. The empirical results show that volatility of the technology diffusion is influenced by itself and R&D investment, R&D organization, R&D staff, and market capacity. This effect is of certain continuity, but the influences of different factors on the technology diffusion have great difference.\",\"PeriodicalId\":438177,\"journal\":{\"name\":\"2017 Portland International Conference on Management of Engineering and Technology (PICMET)\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Portland International Conference on Management of Engineering and Technology (PICMET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/PICMET.2017.8125368\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/PICMET.2017.8125368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Influencing Factors Analysis of 3D Printing Technology Diffusion Across Industries
With the rapid development of technology, growing number of technology diffusion not only appears among different technology sectors, but also appears among different industry sectors. It shows high level of complexity. The influencing factors of technology diffusion is complicated and gradually become a hot academic research field. We take the 3D printing technology as the research object, using patent citation data computing industry association strength and building the VAR model that including the factors of technology diffusion degree, R&D investment, R&D organization, R&D staff, and market capacity. By collecting data from related statistical yearbook, conduct Granger causality test, impulse response and variance decomposition analysis to the above model. The empirical results show that volatility of the technology diffusion is influenced by itself and R&D investment, R&D organization, R&D staff, and market capacity. This effect is of certain continuity, but the influences of different factors on the technology diffusion have great difference.