We study the way in which public procurement by big research infrastructures enhances suppliers’ performance. Using survey data on 669 CERN suppliers, we built a unique data set to analyse, through an ordered logit model and Bayesian networks, the determinants of suppliers’ sales, profits and development activities. We find that collaborative relations between CERN and its suppliers improve suppliers’ performance and increase positive spill overs along the supply chain. This suggests that public procurement for innovation policies should promote cooperative relations and not only market mechanisms.

Big science, learning and innovation: evidence from CERN procurement / M. Florio, A. Giunta, F. Giffoni, E. Sirtori. - In: INDUSTRIAL AND CORPORATE CHANGE. - ISSN 0960-6491. - 27:5(2018 Sep 11), pp. 915-936. [10.1093/icc/dty029]

Big science, learning and innovation: evidence from CERN procurement

M. Florio;
2018-09-11

Abstract

We study the way in which public procurement by big research infrastructures enhances suppliers’ performance. Using survey data on 669 CERN suppliers, we built a unique data set to analyse, through an ordered logit model and Bayesian networks, the determinants of suppliers’ sales, profits and development activities. We find that collaborative relations between CERN and its suppliers improve suppliers’ performance and increase positive spill overs along the supply chain. This suggests that public procurement for innovation policies should promote cooperative relations and not only market mechanisms.
Public procurement; bayesian networks; framework; demand; benefits
Settore SECS-P/03 - Scienza delle Finanze
https://www.centrorossidoria.it/wp-content/uploads/2015/10/WP-225.pdf
Article (author)
File in questo prodotto:
File Dimensione Formato  
109.pdf

accesso aperto

Tipologia: Pre-print (manoscritto inviato all'editore)
Dimensione 1.31 MB
Formato Adobe PDF
1.31 MB Adobe PDF Visualizza/Apri
dty029.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 427.89 kB
Formato Adobe PDF
427.89 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/611896
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 24
  • ???jsp.display-item.citation.isi??? 17
social impact