{"title":"欧盟研究项目中的生物技术和软件网络经纪人","authors":"Merle Küttim, A. Kiis, Cristina Sousa","doi":"10.1515/bjes-2020-0010","DOIUrl":null,"url":null,"abstract":"Abstract Researchers have acknowledged that the flow of knowledge is influenced by the non-structural and structural features of networks. This paper aims to further develop an understanding of the institutional and structural features of knowledge networks by relating the brokerage roles of actors to the types and locations of organisations in biotechnology and software networks. The study is set within the context of the European Union (EU) research and innovation policy. It is designed as a social network analysis of EU research projects in biotechnology and software that took place between 1995 and 2016, wherein organisations from the Baltic States participated. The results of the study revealed that higher education and research organisations and public bodies acted as the main knowledge brokers and brokered more frequently across different regions in biotechnology networks. In software, it was the universities and research organisations that fulfilled this role. Thus, this study contributes to an understanding about the institutional and structural aspects of knowledge networks by focusing on brokers and their brokerage roles and relating these factors to specific organisation types and the locations of actors within the two sectors. It also adds the empirical context of the Baltic States in the areas of biotechnology and software collaborative research projects to the studies of knowledge networks, and offers practical suggestions for implementing collaborative research projects.","PeriodicalId":29836,"journal":{"name":"TalTech Journal of European Studies","volume":"10 1","pages":"195 - 236"},"PeriodicalIF":0.6000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Brokers in Biotechnology and Software Networks in EU Research Projects\",\"authors\":\"Merle Küttim, A. Kiis, Cristina Sousa\",\"doi\":\"10.1515/bjes-2020-0010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Researchers have acknowledged that the flow of knowledge is influenced by the non-structural and structural features of networks. This paper aims to further develop an understanding of the institutional and structural features of knowledge networks by relating the brokerage roles of actors to the types and locations of organisations in biotechnology and software networks. The study is set within the context of the European Union (EU) research and innovation policy. It is designed as a social network analysis of EU research projects in biotechnology and software that took place between 1995 and 2016, wherein organisations from the Baltic States participated. The results of the study revealed that higher education and research organisations and public bodies acted as the main knowledge brokers and brokered more frequently across different regions in biotechnology networks. In software, it was the universities and research organisations that fulfilled this role. Thus, this study contributes to an understanding about the institutional and structural aspects of knowledge networks by focusing on brokers and their brokerage roles and relating these factors to specific organisation types and the locations of actors within the two sectors. It also adds the empirical context of the Baltic States in the areas of biotechnology and software collaborative research projects to the studies of knowledge networks, and offers practical suggestions for implementing collaborative research projects.\",\"PeriodicalId\":29836,\"journal\":{\"name\":\"TalTech Journal of European Studies\",\"volume\":\"10 1\",\"pages\":\"195 - 236\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TalTech Journal of European Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/bjes-2020-0010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"LAW\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TalTech Journal of European Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/bjes-2020-0010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"LAW","Score":null,"Total":0}
Brokers in Biotechnology and Software Networks in EU Research Projects
Abstract Researchers have acknowledged that the flow of knowledge is influenced by the non-structural and structural features of networks. This paper aims to further develop an understanding of the institutional and structural features of knowledge networks by relating the brokerage roles of actors to the types and locations of organisations in biotechnology and software networks. The study is set within the context of the European Union (EU) research and innovation policy. It is designed as a social network analysis of EU research projects in biotechnology and software that took place between 1995 and 2016, wherein organisations from the Baltic States participated. The results of the study revealed that higher education and research organisations and public bodies acted as the main knowledge brokers and brokered more frequently across different regions in biotechnology networks. In software, it was the universities and research organisations that fulfilled this role. Thus, this study contributes to an understanding about the institutional and structural aspects of knowledge networks by focusing on brokers and their brokerage roles and relating these factors to specific organisation types and the locations of actors within the two sectors. It also adds the empirical context of the Baltic States in the areas of biotechnology and software collaborative research projects to the studies of knowledge networks, and offers practical suggestions for implementing collaborative research projects.