2021/07/31 by Xu, Shuqi, Manuel Sebastian Mariani, Linyuan Lü +8 · 2 citations
Business, Management and Accounting · Decision Sciences · Economics, Econometrics and Finance · #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Physical sciences #Firm Innovation and Growth #Innovation Diffusion and Forecasting #Physics and Society (physics.soc-ph) #Private Equity and Venture Capital
paper · doi:10.48550/arxiv.2108.00200
openalex publication_date 2021/07/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Scientific and technological progress is largely driven by firms in many domains, including artificial intelligence and vaccine development. However, we do not know yet whether the success of firms' research activities exhibits dynamic regularities and some degree of predictability. By inspecting the research lifecycles of 7,440 firms, we find that the economic value of a firm's early patents is an accurate predictor of various dimensions of a firm's future research success. At the same time, a smaller set of future top-performers do not generate early patents of high economic value, but they are detectable via the technological value of their early patents. Importantly, the observed predictability cannot be explained by a cumulative advantage mechanism, and the observed heterogeneity of the firms' temporal success patterns markedly differs from patterns previously observed for individuals' research careers. Our results uncover the dynamical regularities of the research success of firms, and they could inform managerial strategies as well as policies to promote entrepreneurship and accelerate human progress.