Succeeding in innovation: key insights on product and process innovations drawn from company data

Andrea Conte, Marco Vivarelli

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review


This paper discusses the relationship between a company's investment in innovation and its success in introducing new product and/or process innovations. In doing so, this analysis departs from the standard approach which puts forward a homogenous R&D-based knowledge production function by introducing different types of innovation investments (R&D and technology acquisition) for different sets of companies. Using the Community Innovation Survey (CIS) dataset comprising more than 3,000 Italian manufacturing companies, the econometric analysis adopts a set of techniques which allows to control for the sample selection, endogeneity and simultaneity problems which arise when dealing with CIS data. The main findings are summarised as follows: (1) beyond the acknowledged effect of R&D in increasing the probability of success of product innovation, a larger-than-expected role is played by technology acquisition in the innovation process; (2) the relative importance of R&D and technology acquisition varies significantly across different types of companies where crucial dimensions of analysis are company size and the technological domain of a sector.
Lingua originaleEnglish
pagine (da-a)1317-1340
Numero di pagine24
RivistaEmpirical Economics
Stato di pubblicazionePubblicato - 2014


  • Community Innovation Survey
  • Embodied technological change
  • Process innovation
  • Product innovation
  • R&D
  • SUR
  • Sample selection


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