Purpose: Despite the large number of academic publications in human capital, there are few instruments to measure it. The purpose of this paper is to develop a holistic scale to measure human capital, considering aspects related to competence, attitudes, skills, leadership, and organizational memory. Design/methodology/approach: First, a literature review of the existing measurement models was carried out. Second, based on the results the authors developed a scale and a questionnaire that were applied in a financial institution in Santa Catarina, Brazil, supported by a factor analysis and a reliability analysis. Findings: As a result of this study a scale consisting of 13 variables of human capital emerged that have been grouped into three factors – leadership and motivation; qualifications; and satisfaction and creativity – which can assist in the organization’s human capital measurement. From a theoretical view, a more holistic scale is provided, which helps to overcome a unilateral focus on knowledge (intangibles). Research limitations/implications: This work points out that the survey data were collected from a sample of 220 relationship managers of a specific financial institution. The results should be tested in other banks or organizations from other sectors to check their suitability and to be generalized. Practical implications: From a practical point of view, it contributes a “tool” that can assist in the measurement of human capital and in the knowledge contained, dimensioning the organizational memory and human repositories. Originality/value: This is the first study that provides a scale to measure organizational human capital from the Brazilian financial perspective.

Purpose: – The purpose of this paper is to review extant literature to identify models intended to measure/classify intellectual capital (IC) to establish the current body of knowledge that has been built since the review by Marr et al. (2004). Design/methodology/approach: – The study consists of a systematic review of peer-reviewed articles on IC classification. The review was conducted for the period 2004-2014 in order to reach the aim. To ensure that all major models are included, important works developed prior to 2004 were captured as well. Findings: – The review resulted in 83 additional models indicating continued research activities with regard to the topic. These models were merged with prior IC models and mapped on a timeline. The timeline clarifies that 2008, 2010, 2011, 2012 and 2013 represent the years of greatest research activity (outcomes). Additionally, the analysis of the list of IC frameworks resulted in the development of an IC Meta model. It synthesizes research activities in the field and highlights the main IC dimensions and sub-dimensions. Research limitations/implications: – This study may not have enabled a complete coverage of all existing peer-reviewed articles in the field of IC classification. Yet, it seems reasonable to assume that the review process covered a large proportion of studies available. Originality/value: – By aggregating and consolidating the IC frameworks covered, the study does not only provide an IC Meta model, but also promising directions for future research.

Purpose: Despite the significant attention that Industry 4.0 (I4.0) has gained in the last decade, little importance has been given to shop-floor workers' role in effectively implementing these new technologies in production systems. Nowadays, several authors discuss the need to bring workers back to the center of the decision-making about implementing the new technologies in what is being called Industry 5.0 (I5.0). A key factor of using these new concepts is that it must make sense, and the new information generated by these technologies must have a precise use; otherwise, it will be considered waste. The Lean approach is already recognized as the best approach to identify and eliminate waste from production systems. Not only that, but it allows decisions about process improvement to be human-centric. Thus, this article aims to present the main aspects and evolution of I4.0 and I5.0 over time, using the Lean approach as the analysis lenses. Study design/methodology/approach: In order to identify the mains aspects of I4.0 and I5.0, we develop a consistent literature review using the Systematic Search Flow (SSF). Findings: As a result, it was possible to identify the evolution from I4.0 to I5.0, In I4.0, the main focus was on developing new technologies, combine them with classic Lean tools (e.g. Kanban 4.0, Poka-Yoke 4.0) and implement Cyber-Physical Systems. In I5.0, the focus is to use these new technologies together with shop floor workers to continuously improve production processes. Not only that, but in I5.0, the protagonist becomes (or return to become) the shop floor workers to lead the improvements, as is in the Toyota Kata approach. Originality/value: This work presents a new way of interpreting the progression of concepts from I4.0 to I5.0. In addition, the focus on workers for problem solving is returning to the center of the discussion. Together with the technologies of I4.0, this represents a new area for future research.

In this paper, we look into knowledge leakages and ways to address them. It is conducted from the point of view of small and medium-sized enterprises (SMEs), as their specific attributes create unique challenges. Based on a discussion of the relevant fields, ways are presented in order to reduce the danger of knowledge leakages. In view of practitioners, the paper’s findings may enable an increased awareness towards the areas where existing knowledge is at the mercy of “leakage”. This can assist managers of SMEs to better cope with risks related to knowledge leakage and, therefore, better exploit the (limited) knowledge base available.

RESUMO: Mediar os processos de ensino e aprendizagem não é tarefa fácil. No contexto educacional, existem muitos casos de sucesso aliando Tecnologias da Informação e Comunicação a esta prática. Uma destas tecnologias, a Realidade Aumentada (RA), pode promover melhorias no compartilhamento de conhecimentos entre alunos e professores. Assim, este artigo objetiva verificar de que forma a RA vem sendo utilizada na educação, por meio de uma revisão sistemática da literatura sobre seu uso neste âmbito. Com base nos resultados, percebe-se que o principal impulsionador para o uso da RA é auxiliar na compreensão dos conteúdos ensinados, bem como na motivação dos estudantes. Como barreira, sobressai a dificuldade no desenvolvimento das atividades utilizando RA, por parte dos professores. O uso de dispositivos móveis, aplicação de RA a livros, uso de jogos com RA e o ensino de Engenharia Civil, Arquitetura, Design e Ciências da Saúde são alguns destaques das descobertas da revisão.