In the supply chain oriented to Industrial 4.0 Scenario the scarcity of studies on Technology Transfer (TT) can be easily observed. TT is a fundamental process, because it steers the absorption and dissemination of technologies towards the various stages of supply chain. The objective of this study is to contextualise TT in the supply chain of Industrial 4.0 Scenario, focusing on the supply, manufacturing industry and final consumer stages. A review of the literature was carried out, using a structured protocol and criteria to compose the bibliographic portfolio. To support the questions presented in this study, the most relevant articles related to the researched topic were thoroughly analyzed. The results infers that in the Industrial 4.0 Scenario, the supply chain will go through changes, such as real-time visibility throughout the entirety of the supply chain, continuous collaboration between the stages of the chain, among other significant changes.

Technological and scientific advances set out the expanding of new opportunities for intelligent industries. The concept of Industry 4.0 is observed by expert groups as an important industrial configuration approach, however, much is still under discussion, especially in the emerging countries. There is a lack of practical studies and procedures on the implementation of this concept in companies. This paper aims to present intrinsic scientific contributions to Industry 4.0 deployment in companies, so that this concept can be set in motion. A literature review was elaborated in the Scopus, Web of Science and Science Direct databases, using structured protocols to select scientific articles. Only empirical studies were considered – empirical evidences – interview with experts on Industry 4.0 themes, case studies in companies, among others. As result, the barriers were reported, such as lack of financial resources and lack of infrastructure, the challenging impacts, such as relocation of people in the labour market, and benefits, respectively, and finally the basic technological and managerial requirements for Industry 4.0.

In order to aid professionals in disaster management, efficient procedures and technologies are developed and adopted. This paper intends to present the results of a literature review on the use of the Internet of Things (IoT) in disaster management. Even though the IoT approach was defined many years ago, only recently its technologies have been enhanced and acquired greater clarity and scope. Internationally, scientific studies indexed in two databases, Scopus and Web of Science were found, selected and analyzed. Two portfolios of papers were generated: the first for the bibliometric analysis and, the second, leaner, for qualitative analysis retaining the contributions pertinent to the proposed theme. The literature review identified macro-discussions on the IoT in disaster management and applications of more specific devices or technologies. In disaster operations, the IoT is a target theme in the fields of Computer Science, Electronic Engineering and Environmental Engineering, especially useful in disaster mitigation, rescue, response, and recovery. The main positive impact is the facilitated communication between professionals, more robust data and monitoring of data for environmental management, first aid, people tracking, distribution of supplies and medicines, among other purposes.

The international circulation of scientists from developing to developed countries can be one of the ways to access advanced knowledge. Similarly, another alternative proposed in this paper is the international student mobility as a way to increase the tacit knowledge asset of a country. Based on this assumption, the purpose of this paper is to approach knowledge and technology transfer having two universities as subjects of study in order to identify the barriers and mechanisms in the transfer within the international student mobility scenario. The paper investigates two groups of students, one from Brazil and another from France, which participated in an international student mobility programme for a period longer than six months. Results show the main barriers and the most effective mechanisms for this category of knowledge and technology transfer. At the end of the paper, we propose a model which has as interfaces two universities as transferor and transferee.

In different studies in the field of healthcare, big data analytics technology has been shown to be effective in observing the behaviour of data, of which analysed to allow the discovery of relevant insights for strategy and decision making. The objective of this study is to present the results of a systematic review of the literature on big data analytics in healthcare, focussing in technologies, main areas and purposes of adoption. To reach its objective, the study conducts an exploratory research, through a systematic review of the literature, using the Methodi Ordinatio protocol supported by content analysis. The results reveal that the use of tools implies work performance at the clinical and managerial level, improving the cost–benefit ratio and reducing the time factor in the practice of the workforce in health services. Thus, this study hopes to contribute to the technological advancement of computational intelligence applied to healthcare.