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.

Infectious and contagious diseases represent a major challenge for health systems worldwide, either in private or public sectors. More recently, with the increase in cases related to these problems, combined with the recent global pandemic of COVID-19, the need to study strategies to treat these health disturbs is even more latent. Big Data, as well as Big Data Analytics techniques, have been addressed in this context with the possibility of predicting, mapping, tracking, monitoring, and raising awareness about these epidemics and pandemics. Thus, the purpose of this study is to identify how BDA can help in cases of pandemics and epidemics. To achieve this purpose, a systematic review of literature was carried out using the methodology Methodi Ordinatio. The rigorous search resulted in a portfolio of 45 articles, retrived from scientific databases. For the collection and analysis of data, the softwares NVivo 12 and VOSviewer were used. The content analysis sought to identify how Big Data and Big Data Analytics can help fighting epidemics and pandemics. The types and sources of data used in cases of previous epidemics and pandemics were identified, as well as techniques for treating these data. The results showed that the main sources of data come from social media and Internet search engines. The most common techniques for analyzing these data involve the use of statistics, such as correlation and regression, combined with other techniques. Results shows that there is a fruitiful field of study to be explored by both areas, Big Data and Health.