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The Regional Innovation Capacity Model

The Regional Innovation Capacity Model

Antonio Lerro, Giovanni Schiuma
Copyright: © 2011 |Pages: 14
ISBN13: 9781616928469|ISBN10: 1616928468|EISBN13: 9781616928483
DOI: 10.4018/978-1-61692-846-9.ch003
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MLA

Lerro, Antonio, and Giovanni Schiuma. "The Regional Innovation Capacity Model." Regional Innovation Systems and Sustainable Development: Emerging Technologies, edited by Patricia Ordóñez de Pablos, et al., IGI Global, 2011, pp. 18-31. https://doi.org/10.4018/978-1-61692-846-9.ch003

APA

Lerro, A. & Schiuma, G. (2011). The Regional Innovation Capacity Model. In P. Ordóñez de Pablos, W. Lee, & J. Zhao (Eds.), Regional Innovation Systems and Sustainable Development: Emerging Technologies (pp. 18-31). IGI Global. https://doi.org/10.4018/978-1-61692-846-9.ch003

Chicago

Lerro, Antonio, and Giovanni Schiuma. "The Regional Innovation Capacity Model." In Regional Innovation Systems and Sustainable Development: Emerging Technologies, edited by Patricia Ordóñez de Pablos, W.B. Lee, and Jingyuan Zhao, 18-31. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-846-9.ch003

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Abstract

This chapter aims to present a conceptual model aimed to understand the Intellectual Capital-based (IC) characteristics of the regional innovation capacity. The proposed Regional Innovation Capacity Model (RICM) can be used for interpretative and normative purposes to analyse the innovation dynamics taking place at regional and territorial level. From an interpretative point of view, the model identifies the pillars grounding the innovation capacity of a local system. While, from a normative perspective, the model can inspire the definition of guidelines driving the design and the implementation of actions, projects and programmes aimed to stimulate and sustain regional development dynamics. The RICM adopts a knowledge-based perspective assuming that IC, in the forms of regional knowledge assets, and knowledge dynamics, in the form of knowledge transfer and learning processes, are the drivers of innovative processes and outputs. The chapter concludes proposing a future research agenda.

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