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The public sector is one of the least addressed areas of intellectual capital (IC) research. Universities are an interesting area of investigation because they are considered critical players in the knowledge-based society. The purpose of this paper is to develop a more general, flexible and comprehensive “IC Maturity Model” for Universities (ICMM), a framework for defining and implementing IC measurement and management approaches, as part of the whole strategic management of universities. Thus, the ICMM proposes a staged framework to initiate a step-by-step change within a university based upon its current level of IC management maturity. The different steps of maturity might be an answer to cope with the huge diversity of European universities, some of which have strong managerial orientation, while others follow collegial forms of governance.

The research approach is based on what has been called the “third stage” of IC research (Dumay and Garanina, 2013), focused on the practices of IC approaches rather than on its theoretical conceptualisation. The ICMM has been developed under the “Quality Assurance in Higher Education through Habilitation and Auditing” project framework, initiated by the Executive Agency for Higher Education and Research Funding of Romania (EUFISCDI). Three Mutual Learning Workshops (MLWs) were organised as a mean to bring together 15 international experts and practitioners to share their views and experience on IC reporting and setting up task forces.

An ICMM, which is a flexible model of implementing IC approaches within public universities, is developed. The ICMM provides a theoretical continuum along which the process of maturity can be developed incrementally from one level to the next, moving from IC data collection, awareness of IC, adjustment of IC specific indicators, measurement of IC, reporting of IC, interpretation and decision making, strategy and planning.

Future research needs to conduct empirical studies in universities to generalise the effectiveness of the ICMM model and guidelines for implementation.

The ICMM provides a staged framework to initiate a step-by-step change within a university based upon its current level of IC management maturity and its IC value creation dynamics. It allows universities to follow different paths, not necessarily a linear sequence.

Although several methods for IC measurement and management exist, most of these cannot accommodate the trade-off between the comparability aims and the efforts to capture the institution’s uniqueness when designing an IC model.

This paper aimed to analyze the contribution of the interorganizational relationship (IOR) factors trust and knowledge resources to the relational and transactional performance of a Brazilian agricultural cluster formed by small farmers.

A survey was conducted using a questionnaire divided into groups of variables, each group seeking to identify one of the three constructs: trust, knowledge resources and relational and transactional performance. A theoretical framework was elaborated and later compared with survey results, which were analyzed using exploratory factor analysis (EFA) and partial least squares–structural equation modeling (PLS-SEM).

Correlations between trust and relational and transactional cluster performance varied according to actors involved, being significant between some actors and not significant between others. Knowledge resources, on the other hand, proved to be significantly relevant for cluster performance, considering both relational and transactional measures.

It was made in a Brazilian single cluster and its conclusions cannot be generalized.

Farmers cannot innovate with the efficiency and effectiveness that the process demands. They need complementary capacity that apparently is not in the agricultural cluster. Research and development involve knowledge and techniques that empirical knowledge alone may not provide. And much of the formal knowledge is embedded in universities and research institutes. If there were investments by public entities in research and development to improve the culture and its by-products, this could contribute to improving the income of farmers.

This study provided a photograph of the current scenario of a Brazilian agricultural cluster. Changes in trust and knowledge resources could affect cluster relational and transactional performance. Special attention is deserved to the important role of scientific research on agricultural clusters to strengthen the capacity of critical analysis by the researcher who, with the results in hand, makes them public, hoping that the shared information can contribute with the research of other scholars and improve the quality of life of farmers involved.

This study offers empirical evidence that trust and knowledge resources can contribute to a Brazilian agricultural cluster performance, which can be analyzed considering both relational and transactional measures. These findings brought new fact to Singh and Shrivastava’s (2013) research.

The purpose of this paper is to discuss whether the mechanisms used to measure and manage intangibles in companies can be applied to universities and other research institutions.

The characteristics of the issues is addressed by companies in relation to their intellectual capital (IC) and how they manage them are reviewed to discuss whether universities can apply the same framework. External pressures for change and barriers universities encounter, particularly due to the current governance system, are discussed. The experience of some universities are briefly described.

The companies' framework is possible to be used by universities, with some specificity.

The number of universities actually applying this framework is small and therefore the results cannot be generalized.

Policy measures are needed to encourage research institutions and universities to measure and manage their IC. In a knowledge‐based society, the main knowledge producers should be more accountable for their activities.

The use of IC concepts to analyze universities' performance is still scarce. This is an attempt to fill such lacuna.

The importance of relational capital for the university has grown enormously in recent years. In fact, relational capital allows universities to promote and emphasize the effectiveness of the third mission. The purpose of this paper is to propose a case study involving an Italian university that recently set up a new research observatory, and, thanks to its success, succeeded in enhancing its relational capital.

The authors adopted an action research approach to analyze the case study. Consistently, the authors followed the analysis, diagnosis, and intervention phases. First, the authors focused on the identification of the strengths and weaknesses of the process through which the university created relational capital, and finally, the authors proposed solutions to improve the process.

This case study shows that the creation of relation capital for the host university was the result of a process of transfer and transformation of the individual relationships of the observatory’s promoters.

This paper contributes to filling a significant gap in the literature on relational capital and universities and provides useful insights into how these organizations can encourage its creation. It also allows scholars, managers, and politicians involved in higher education to gain a greater understanding of this relevant topic.

This article attempts to contribute to the development of a positive theory on the management of intangibles by building a model that describes the process followed by business firms willing to implement a system for the management of intangibles. The study reveals that companies usually take three steps: the identification of critical intangibles related to value creation, the measurement of those intangibles by means of a set of indicators and, finally, the monitoring of intangible resources and activities.

The purpose of this paper is to present a structured literature review of the public sector intellectual capital (IC) literature. It is, in part, motivated by a recent review of the IC literature by Guthrie et al. (2012, p. 74), who found that the public sector is one of the least addressed areas of IC research.

This paper presents a structured literature review of public sector IC articles that is as up to date as possible. The authors use and update the dataset from Guthrie et al. (2012) to include another five plus years of data, including seven articles appearing in this special issue.

The public sector IC has a primary research focus on central government and central government agencies, education (especially universities), Europe (especially Italy and Spain) and empirical research using case studies mainly investigating management control and strategy. It appears public sector IC researchers are firmly entrenched in performative third-stage research, investigating “how” IC works in organisations rather than offering normative solutions.

Three areas offered as a way of forwarding public sector IC research. First, there is a need to expand public sector IC research from beyond the confines of education (university) research. There is also an opportunity for a study to synthesise the findings. Second, there is also a need for more longitudinal research in public sector IC because IC is not an event, but a journey. Third, there is an opportunity for researchers to undertake empirical research with organisations to develop and test IC frameworks and models in specific public sector contexts.

The authors call for researchers to consider helping public sector practitioners implement IC frameworks and models through interventionist research. In keeping with the performative third-stage IC research agenda, interventionist research makes it possible for academic researchers to act as a catalyst for implementing IC frameworks and models in practice.

This paper is a must read for IC researchers wanting to embark on public sector research. The paper outlines how public sector IC research has developed, offers critique and outlines future opportunities for research that has potential impact, rather than concentrating on already well-researched contexts.

The purpose of this paper is to analyse the increasing attention to universities and research organizations at political level and the growing implementation in these institutions of intellectual capital (IC) management and reporting mechanisms, traditionally used by private companies. The objective of the paper is twofold. On one hand, to present an IC report specially designed for universities, suggesting a battery of indicators for resources related to research activity, and, on the other hand, to move one step forward and discuss current challenges in relation to establishing standards for universities to manage and report on their IC and the difficulties in capturing the process dynamics.

The paper reviews recent literature both on conceptual issues and experiences in relation to IC. The Austrian IC report, the observatory of European university exercise and some recent experiences of the Madrid regional government concerning Madrid universities are analysed. Both theory and practice contribute to the development of an IC reporting and management model for universities.

A model for reporting and managing IC resources in universities and research organisations is suggested. IC dynamics are discussed and current shortcomings of IC analysis presented. The latter points may define the research agenda in the field.

Available experiences are used to discuss possibilities and difficulties in showing the dynamics of higher education institutions by means of an IC report.

The growing interest regarding intangibles and intellectual capital (IC) has extended from firms to public institutions such as universities and research centres during the last decade. Since universities are considered critical institutional actors in national innovation systems, European higher education and research institutions are going through an important transformation process with the aim of making them more comparable, flexible, transparent and competitive. The objective of the paper is two‐fold. On the one hand, its aim is to address the importance of measuring and managing IC in universities to improve research management and contribute to comparative analysis in European universities, and on the other hand, to highlight some methodological and conceptual considerations in relation to the analytical framework developed within an ongoing experience – the Observatory of European Universities (OEU).

The paper analyses a specific case within the OEU: the Autonomous University of Madrid (UAM) in Spain. The problems and difficulties within the process of applying the OEU analytical framework are examined.

This analysis provides some insight into the utility of the framework. From a conceptual point of view, we find some similarities between IC approaches and the OEU, but a different terminology is identified.

This paper argues that important benefits can be achieved when adapting the Observatory's framework to the IC approach and terminology, regarding the increasing impact of IC approaches at firm and political level.

The purpose of this paper is to review the literature on national intellectual capital (NIC) in order to identify and compare the main models to measure and report IC at the country level and to examine the differences from and similarities to the IC approach for firms.

A systematic literature review was carried out using three scientific databases and the five most important journals. Additional information was also reviewed. The search covered the period from January 2000 to December 2012. The models to measure intangibles were analyzed and compared using qualitative and quantitative techniques.

The literature review shows that although such literature is still nascent and relatively scarce, there is growing interest in measuring, reporting, and managing IC for countries as a whole. NIC studies have been published in a small number of journals and more theoretical work is required. There are two main types of methods to assess and report on NIC. Despite the differences among models, their findings tend to converge.

The information obtained contributes to the selection of models. This selection can be based on pragmatic considerations, such as the availability of data.

There are several models to evaluate intangibles at the country level and different ways to measure them. The paper offers comparative information about the models to aid in selection for managing intangibles at the country level.

Universities concerned with third mission activities are engines that increase regional competitiveness since their primary role in the knowledge-based economy is to stimulate innovation by transferring new knowledge and technologies to industry and society. The purpose of this paper is to show how IC can be mobilized by university technology transfer offices (TTOs) due to the correlation between efficient university technology transfer and intellectual capital (IC), thus contributing to the third stage of IC research.

The application of the Maturity Model developed by Secundo et al. (2016) is expanded by collecting data from 18 universities in the European countries to illustrate how IC can be used as a strategy and solution to the barriers faced by TTOs.

TTOs with increased access to and utilization of IC tend to have higher maturity levels. This new application of the Maturity Model, proves that IC can be utilized to manage and improve the efficiency of TTOs.

An indication of the level of access that TTOs have to university IC is given leading to recommendations to improve university technology transfer. Future research should include a wider sample of universities to increase the validation of the Maturity Model and to prove it as a suitable and strategic approach for IC management at TTOs.

Knowing which IC components are essential for the efficiency of TTOs, and which IC needs greater utilization, will provide insights into policy and practical interventions to improve their efficiency, resulting in increasing universities’ competitiveness.

A new approach and perspective on utilizing IC to improve university technology transfer to contribute to the third stage of IC research calling for more practice-oriented research.