{"title":"利用引文网络分析衡量科研型初创企业的“启动准备度”——以CRISPR-Cas9为例","authors":"Tomotaka Goji, Takanari Matsuda, I. Sakata","doi":"10.23919/PICMET.2017.8125322","DOIUrl":null,"url":null,"abstract":"Recent experiences related to scientific researchbased start-ups that launched initial public offerings (IPOs) without maturity of functional technologies and intellectual property suggest that the concept of \"start-up readiness\" can be defined as an earlier-applied criterion than \"technology readiness.\" This study was conducted to show that emergence of a scientific research domain and its central researchers signal \"start-up readiness.\" We analyzed the centralities of researchers, whether these researchers are start-up founders, and the timing of their founding and venture capital funding. This case study explored the biotechnology research field of genome editing, CRISPR-Cas9, which has generated start-ups that completed IPOs in 2016. We constructed cited-and-citing author networks based on paper citation networks, calculated centralities for each author, checked if authors of high centralities are founders, and chronologically compared the centralities and the start-ups' founding and venture capital funding. Results show that authors with higher combined centralities have higher rates of being founders, with potential to let their start-ups raise initial VC funding, similarly to the number of citations, a conventional bibliometric index. Furthermore, the centralities can serve as better indexes of scientists' potential to become founders, reflecting their \"start-up readiness,\" because the centralities might encompass a wider range of potential founders.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Measuring \\\"Start-Up Readiness\\\" of Scientific Research-Based Start-Ups Using Analysis of Citation Networks: Case Study of CRISPR-Cas9\",\"authors\":\"Tomotaka Goji, Takanari Matsuda, I. Sakata\",\"doi\":\"10.23919/PICMET.2017.8125322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent experiences related to scientific researchbased start-ups that launched initial public offerings (IPOs) without maturity of functional technologies and intellectual property suggest that the concept of \\\"start-up readiness\\\" can be defined as an earlier-applied criterion than \\\"technology readiness.\\\" This study was conducted to show that emergence of a scientific research domain and its central researchers signal \\\"start-up readiness.\\\" We analyzed the centralities of researchers, whether these researchers are start-up founders, and the timing of their founding and venture capital funding. This case study explored the biotechnology research field of genome editing, CRISPR-Cas9, which has generated start-ups that completed IPOs in 2016. We constructed cited-and-citing author networks based on paper citation networks, calculated centralities for each author, checked if authors of high centralities are founders, and chronologically compared the centralities and the start-ups' founding and venture capital funding. Results show that authors with higher combined centralities have higher rates of being founders, with potential to let their start-ups raise initial VC funding, similarly to the number of citations, a conventional bibliometric index. Furthermore, the centralities can serve as better indexes of scientists' potential to become founders, reflecting their \\\"start-up readiness,\\\" because the centralities might encompass a wider range of potential founders.\",\"PeriodicalId\":438177,\"journal\":{\"name\":\"2017 Portland International Conference on Management of Engineering and Technology (PICMET)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"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.2017.8125322\",\"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.2017.8125322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring "Start-Up Readiness" of Scientific Research-Based Start-Ups Using Analysis of Citation Networks: Case Study of CRISPR-Cas9
Recent experiences related to scientific researchbased start-ups that launched initial public offerings (IPOs) without maturity of functional technologies and intellectual property suggest that the concept of "start-up readiness" can be defined as an earlier-applied criterion than "technology readiness." This study was conducted to show that emergence of a scientific research domain and its central researchers signal "start-up readiness." We analyzed the centralities of researchers, whether these researchers are start-up founders, and the timing of their founding and venture capital funding. This case study explored the biotechnology research field of genome editing, CRISPR-Cas9, which has generated start-ups that completed IPOs in 2016. We constructed cited-and-citing author networks based on paper citation networks, calculated centralities for each author, checked if authors of high centralities are founders, and chronologically compared the centralities and the start-ups' founding and venture capital funding. Results show that authors with higher combined centralities have higher rates of being founders, with potential to let their start-ups raise initial VC funding, similarly to the number of citations, a conventional bibliometric index. Furthermore, the centralities can serve as better indexes of scientists' potential to become founders, reflecting their "start-up readiness," because the centralities might encompass a wider range of potential founders.