Remco S. Mannak , Arjan Markus , Marius T.H. Meeus , Jörg Raab , Alexander C. Smit
{"title":"网络动力学及其对创新成果的影响:荷兰水务部门的研发联盟","authors":"Remco S. Mannak , Arjan Markus , Marius T.H. Meeus , Jörg Raab , Alexander C. Smit","doi":"10.1016/j.socnet.2023.02.004","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, we explore the relationship between inter-organizational network dynamics and innovation outcomes. We focus on node turnover and argue that both <em>cluster</em> and <em>broker</em> dynamics can range from <em>low</em> (stable) to <em>high</em> (volatile), resulting in differentiated outcomes. The data comprises 318 consortium members participating in 104 R&D consortia forged in a 23-year period in the Dutch water sector. Our analysis reveals two equifinal combinations (stable brokers – volatile clusters and volatile brokers – stable clusters) that both generate significantly higher innovation outcomes compared to networks with low, moderate, or high dynamics across the entire network.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"74 ","pages":"Pages 62-70"},"PeriodicalIF":2.9000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector\",\"authors\":\"Remco S. Mannak , Arjan Markus , Marius T.H. Meeus , Jörg Raab , Alexander C. Smit\",\"doi\":\"10.1016/j.socnet.2023.02.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this study, we explore the relationship between inter-organizational network dynamics and innovation outcomes. We focus on node turnover and argue that both <em>cluster</em> and <em>broker</em> dynamics can range from <em>low</em> (stable) to <em>high</em> (volatile), resulting in differentiated outcomes. The data comprises 318 consortium members participating in 104 R&D consortia forged in a 23-year period in the Dutch water sector. Our analysis reveals two equifinal combinations (stable brokers – volatile clusters and volatile brokers – stable clusters) that both generate significantly higher innovation outcomes compared to networks with low, moderate, or high dynamics across the entire network.</p></div>\",\"PeriodicalId\":48353,\"journal\":{\"name\":\"Social Networks\",\"volume\":\"74 \",\"pages\":\"Pages 62-70\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Social Networks\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378873323000138\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Networks","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378873323000138","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector
In this study, we explore the relationship between inter-organizational network dynamics and innovation outcomes. We focus on node turnover and argue that both cluster and broker dynamics can range from low (stable) to high (volatile), resulting in differentiated outcomes. The data comprises 318 consortium members participating in 104 R&D consortia forged in a 23-year period in the Dutch water sector. Our analysis reveals two equifinal combinations (stable brokers – volatile clusters and volatile brokers – stable clusters) that both generate significantly higher innovation outcomes compared to networks with low, moderate, or high dynamics across the entire network.
期刊介绍:
Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.