Innovation and knowledge transference in a cluster user-driven innovation perspective – the Inovcluster experience

Teresa Paiva ,
Teresa Paiva
Contact Teresa Paiva

Unidade de Investigacao para o Desenvolvimento do Interior, Instituto Politecnico da Guarda, Av. Dr. Francisco Sa Carneiro, Guarda, Portugal

Claudia Domingues ,
Claudia Domingues

Inovcluster, Portugal

Luıs Pinto de Andrade
Luıs Pinto de Andrade

Instituto Politecnico de Castelo Branco, Portugal

Published: 18.04.2016.

Volume 5, Issue 1 (2016)

pp. 54-60;

https://doi.org/10.7455/ijfs/5.1.2016.a5

Abstract

Our purpose with this article is to show the importance of assessing trends and promoting innovation in a real business context, through a cluster ecosystem, mainly composed of micro-enterprises in the agro-industrial Portuguese sector. As many studies show, Inovcluster (which has 158 associates, from which 120 are enterprises) is also a geographic region cluster, which improves innovation performance of businesses seeking to gain competitiveness and ability to improve their exportations in the agro-industrial Portuguese sector. The role of the cluster is fundamental to creating a model for knowledge transfer of innovation capacity, interconnecting its institutional, scientific and business associates. This model has to be adapted to the sector and enterprise characteristics, relying in an interconnecting structure which is more or less decentralized according to the mentioned features. Here we present an experience and case study of the Inovcluster ecosystem and its trends and innovation transfer to business value creation, contextualized within the regional strategy for smart specialization. We have shown how, through the establishment of an Inovcluster network, it is possible to integrate the contribution of different research and academic centres, channelled to assist micro-enterprises by innovating within a geographical constraint.

Keywords

References

1.
Bar F, Riis A. Tapping userdriven innovation: a new rationale for universal service. Information Society. 2000. p. 99–108.
2.
Chang YC, Chen MH. Comparing approaches to systems of innovation: the knowledge perspective. Technology in Society. 2004. p. 17–37.
3.
Smart Guide to Service Inovation. European Union; 2012.
4.
IJFS April. University of Cologne (Dept. of Information Systems and Inf. Mgmt; 2016. p. 54–60.
5.
coincourse2009/ Committee of the Regions of the European Union. European Union; 2012.
6.
Doranova A, Griniece E, Miedzinsky M, Reid A. Connecting Smart and Sustainable Growth through Smart Specialisation -A practical guide for ERDF managing authorities. 2012.
7.
Foray D, Goddard J, Goenaga X, Landabaso M, Mccann P, Morgan K, et al. Guide to Research and Innovation Strategies for Smart Specialisations (RIS 3). European Commission; 2012.
8.
Gomes P, Francisco A. Trends Research Center; 2013.
9.
Gtz. Retrieved from. Andreas. Springer-Heinze; 2007.
10.
Holmquist L. Chi’04 extended abstracts on human factors in computing systems. ACM; 2004. p. 1091–2.
11.
Ilo. Guide for value chain analysis and upgrading. 2009.
12.
Lee CY. Do firms in clusters invest in R&D more intensively? Theory and evidence from multi-country data. Research Policy. 2009. p. 1159–71.
13.
Draft synthesis report on innovation driven growth in regions: the role of smart specialization. OECD’s Working Party on Innovation and Technology Policy (TIP). Organisation for Economic Cooperation and Development; 2013.
14.
Pedroni M. From fashion forecasting to coolhunting. Previsional models in fashion and in cultural production. 2011.
15.
Rosted J. User-driven innovation. Results and recommendations. Copenhagen: Fora. 2005.
16.
Santos H, Andrade L, Pereira C, Rodrigues A, Cerqueira C, Ferreira A. InAgri -Rede de Oficinas de Inovação para o sector Agro-Industrial. 2011.
17.
Industrial Value Chain Diagnostics: An Integrated Tool. United Nations Industrial Development Organization (UNIDO). 2011. p. 54–60.

Citation

Copyright

Article metrics

Google scholar: See link

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Most read articles

Indexed by