首页 | 本学科首页   官方微博 | 高级检索  
     检索      


In knowledge we trust: Learning-by-interacting and the productivity of inventors
Institution:1. University of Bergamo, Via dei Caniana, 2, 24127, Bergamo, Italy;2. Bordeaux School of Economics, University of Bordeaux, CNRS, Avenue Léon Duguit, 33608, Pessac, France;3. AQR-IREA Research Group, University of Barcelona, Avinguda Diagonal, 690, 08034, Barcelona, Spain;1. School of Information, University of Michigan, 105 S State St., Ann Arbor, MI 48109-1285, United States;2. Strategic Management Subject Area, Department of Accounting, Innovation and Strategy, University of Vienna, Oskar-Morgenstern-Platz 1, Vienna 1090, Austria;3. TUM School of Management, Technical University of Munich, Lichtenbergstr. 6/II, Garching b. München 85748, Germany;1. Institute of Economics, EMbeDS, Scuola Superiore Sant''Anna, Pisa, Italy;2. UNU-MERIT, Maastricht University, Netherlands and Brussels School of Governance, VUB, Belgium;1. Durham University Business School, Ustinov College, Millhill Ln, Durham DH1 3LB, Durham, United Kingdom;2. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China;3. Durham University Business School, Millhill Ln, Durham DH1 3LB, Durham, United Kingdom;1. Henley Business School, University of Reading, United Kingdom;2. Imperial College, University of London, United Kingdom;3. Department of Economics, Society and Politics, Carlo Bo University, Urbino, United Kingdom;1. Roskilde University, Department of Social Sciences and Business, Building 25.3, P.O. Box 260, DK-4000 Roskilde, Denmark;2. Roskilde University, Department of People and Technology, Building 3, P.O. Box 260, DK-4000 Roskilde, Denmark
Abstract:Innovation rarely happens through the actions of a single person. Innovators source ideas while interacting with peers at different levels and intensities. With a dataset of disambiguated inventors from 1980 to 2010 in European metropolitan areas, we assess the influence of their interactions with co-workers, organizations’ colleagues, and geographically co-located peers on their productivity. By adding many fixed effects to control for unobserved heterogeneity, we uncover the importance of metropolitan areas knowledge for inventors’ productivity, with firms and co-workers’ network knowledge being less relevant. When the complexity and quality of knowledge are accounted for, the picture changes: proximate, social interactions become central.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号