Title
Scope and patterns of innovation cooperation in Spanish service enterprises
Date Issued
01 April 2012
Access level
metadata only access
Resource Type
journal article
Author(s)
Trigo A.
University of Santiago de Compostela
Abstract
Examining 2148 innovating service firms from the Spanish Technological Innovation Panel 2004, this paper utilizes Latent Class Analysis to appraise the scope of innovation cooperation in services in the Spanish economy, in accordance with the growing weight of external information flows throughout innovation processes. The empirical evidence indicates that the nature of the service activity affects both the partner chosen and the cooperation intensity. The results lead to the creation of a typology of cooperation composed of three broad profiles: service firms intensive in techno-scientific cooperation, intensive in interactions with clients and a profile with low intensity in cooperation, called lonely innovators. The probability that a firm belongs to the latter profile is 59%, which makes it reasonable to affirm that innovation cooperation is not a common practice in Spanish innovating service enterprises. Innovation output variables have been included in order to examine the relationship between patterns of cooperation and innovation performance. The findings also underline the co-existence of different cooperation patterns within the same industry. © 2011 Elsevier B.V. All rights reserved.
Start page
602
End page
613
Volume
41
Issue
3
Language
English
OCDE Knowledge area
Negocios, Administración
Economía
Subjects
Scopus EID
2-s2.0-84857038804
Source
Research Policy
ISSN of the container
00487333
Sponsor(s)
We are grateful to Prof. Stan Metcalfe, Prof. Ian Miles, Prof. Roonie Ramlogan, Dr. Davide Consoli, Dr. Shu-Li Cheng, Prof. Marcela Miozzo and Dr. Yanuar Nugroho from the Manchester Institute of Innovation Research (University of Manchester, UK), for motivating and helpful discussions on the original version of this work, and also for providing the specific computer statistical software for Latent Class Analysis. We acknowledge Prof. Ánxela Troitiño and other members of the ICEDE Research Group from the University of Santiago de Compostela for interesting suggestions on previous drafts of this work. We also appreciate the useful comments made by Dr. Michele Mastroeni from INNOGEN (School of Social and Political Science, University of Edinburgh, UK). A preliminary version of this article has strongly benefited from the valuable remarks provided by the participants in the DRUID Summer Conference 2009 and the XIXth International RESER 2009 Conference. The authors acknowledge the financial support from the European Regional Development Fund (ERDF) and from Xunta de Galicia (Competitive Reference Group 2008/041 and Project 08SEC008201PR ). Finally, we would also like to express thanks to the editor and two anonymous referees for the constructive feedback. The usual disclaimer applies.
Sources of information:
Directorio de Producción Científica
Scopus