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Intellectual capital approaches become critical at universities mainly due to the fact that knowledge is the main output as well as input in these institutions. Although some attempts to measure intellectual capital have been made so far, there is still a long way to go. The purpose of the present article is to provide a model for the measurement of intellectual capital in higher education institutions. The results of a study done at Spanish public universities are used to indicate which intangible elements need to be measured, and a new framework for the measurement and management of intellectual capital is presented. Points for practitioners The main contribution of this article is the validation of the consensus on the key intangible elements and indicators that should comprise a university intellectual capital model. Our proposed intellectual capital model helps universities on the path to presenting information that is useful to their stakeholders, contributing to greater transparency, accountability and comparability in the higher education sector. This article offers useful and specific guidelines for intellectual capital reporting practice in universities. The creation of a framework of intellectual capital reporting facilitates benchmarking analysis and comparative studies in order to help decision-making processes, improve the articulation of public policies and increase transparency in the whole system.

Purpose The purpose of this paper is to analyze the potential impact of stakeholders’ behavior on business failure, through its influence on the generation and distribution of value added. Design/methodology/approach Using a sample of 2,277 Spanish SMEs – half of which were businesses that failed during the years 2006‐2009 – the authors conducted an empirical study on a number of variables representing the participation of stakeholders in the generation and distribution of value added. This was undertaken in order to discern differential behavior between the variables and prove their usefulness in predicting business failure. For this purpose, a mean difference analysis between failed and non‐failed businesses and a multivariate logistic regression model were applied. Findings The results obtained show that the stakeholders’ behavior in relation to their participation in the generation and distribution of value added, affects the likelihood of business failure. Originality/value This paper provides empirical evidence of the influence of stakeholders’ behavior on the likelihood of business failure, through their participation in the generation and distribution of value added. The results are useful for creating management strategies because they offer advice on the implementation of business management models based on the stakeholder approach, and on the appropriate involvement of all those who make up the conglomerate in the generation and distribution of value added. They also emphasize the value of recording information related to the Value‐Added Statement in order to explain a firm's level of dependence on its stakeholders and assess the firm's risk of insolvency.