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[null,"1.","Record Nr.",null,"UNICAMPANIAVAN00086072"]
[null,null,"Autore",null,"Acs, Zoltan J."]
[null,null,"Titolo",null,"Innovation and small firms / Zoltan J. Acs, David B. Audretsch"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge [etc.], : The MIT Press, 1990"]
[null,null,"ISBN",null,"02-620-1113-1"]
[null,null,"Descrizione fisica",null,"X, 212 p. ; 24 cm"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Utilizing a unique data set, Zoltan Acs and David Audretsch provide a rich empirical analysis of the increased importance of small firms in generating technological innovations and their growing contribution to the U.S. economy. They identify the contributions made by both small and large firms to the innovative process and the manner in which market structure, and the firm-size distribution in particular, responds to technological change. The authors' analysis relies on traditional theories of industrial organization and tests existing hypotheses, many of them previously untested due to data constraints. Innovation and Small Firms brings together two large data bases recently released by the U. S. Small Business Administration - one directly measuring innovative activity for large and small firms, the other providing a detailed census of economic activity for all manufacturing firms and plants across a broad spectrum of industries. Acs and Audretsch describe and evaluate the data bases in the context of the literature on innovation, market structure, and firm size. They present their findings on the presence of small firms, small-firm entry in manufacturing, small-firm growth and flexible technology, and mobility and firm size. They compare static and dynamic measures of small-firm viability and address the relationships between R&D, innovation, and productivity, and analyze the interaction between technological regimes and the role of government in innovation."]
[null,"2.","Record Nr.",null,"UNICAMPANIAVAN00275141"]
[null,null,"Titolo",null,"Quantitative psychology : The 85. Annual Meeting of the Psychometric Society, Virtual / Marie Wiberg ... [et al.] editors"]
[null,null,"Pubbl/distr/stampa",null,"Cham, : Springer, 2021"]
[null,null,"Descrizione fisica",null,"x, 497 p. : ill. ; 24 cm"]
[null,null,"Soggetti",null,"00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]"]
[{"$nulls":4},"62-XX - Statistics [MSC 2020]"]
[{"$nulls":4},"62F15 - Bayesian inference [MSC 2020]"]
[{"$nulls":4},"62J20 - Diagnostics, and linear inference and regression [MSC 2020]"]
[{"$nulls":4},"62P15 - Applications of statistics to psychology [MSC 2020]"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]