How to measure IC in clusters: empirical evidence

Abstract

Purpose

The purpose of this paper is to provide a strategic framework and tool to measure and value intellectual capital (IC) in regional clusters.

Design/methodology/approach

A theoretical cluster strategic framework is presented and cluster fundamentals are discussed for proper model development. Design methodology was used to construct a model which achieves the aforementioned purpose.

Findings

The paper provides a comprehensive model to describe, map, measure and value IC on clusters and systematically control the IC evolution.

Research limitations

The system provided is not an exhaustive use of all the available measures. A more comprehensive practical application on several clusters would be necessary to validate and readapt the model.

Practical implications

A very useful tool of information and practical assessment for IC is provided to cluster agents and policymakers to establish proper strategic initiatives. New ideas about IC measurement in clusters are provided to academia.

Originality/value

So far, no IC cluster model has been designed. This paper fulfils an IC measurement model to help individuals involved in clusters, such as mangers, policymakers, etc.

Citation

Luis Hervas Oliver, J. and Dalmau Porta, J.I. (2006), "How to measure IC in clusters: empirical evidence", Journal of Intellectual Capital, Vol. 7 No. 3, pp. 354-380. https://doi.org/10.1108/14691930610681456