Purpose: The purpose of this article is to explore the new concept of TQM 4.0 as a way of adapting quality management (QM) in Industry 4.0 (I4.0), guiding industries to this new phase, which has generated adaptations in numerous areas, one of which is QM and human resources.Design/methodology/approach: A systematic review of the literature was carried out. Methodi Ordinatio was applied to build the portfolio of articles with scientific relevance, which is the source of data collections and content analysis. To help out in the analysis, NVivo 12 and VOSviewer software programs were used.Findings: The results demonstrate that when adapting the QM to the technologies of I4.0, the result is an ecosystem that supports the integration between technology, quality and people in the industrial scenario.Research limitations/implications: This article presents a systematic review of the literature, but without delving into specific issues such as the different industrial sectors and the culture of countries in which industries may be inserted, for example, which characterizes a limitation of this research.Practical implications: This study provides an ecosystem model that can guide future research, regarding the concept of TQM 4.0, in addition to pointing out some ways of combining technologies, quality and people in the industrial context.Originality/value: This is one of the first articles to employ a systematic review of the literature using Methodi Ordinatio to build a bibliographic panorama on the intertwining of the themes total QM (TQM) and I4.0, focusing on the emerging concept of TQM 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.

The objective of this work is to perform a temporal comparative analysis in a network of companies in the furniture sector, in Santa Catarina, southern Brazil, presenting drivers through circular economy modeling. The study was performed applying the model proposed by Saraceni et al. (2017) in a network of Furniture companies in Concórdia, Brazil. The model diagnoses the presence of industrial symbiosis practices in five domains variables involving Technical, Economic, Political, Information and Organizational Factors, influencing three spheres: by-product exchange, service sharing, and managerial cooperation. The study addressed the positive relationship aspects of the circular economy as guidelines for improving the industrial symbiosis of the network. The results of data collection in 2019 were compared with the results of the application made in 2014. The comparison revealed a significant advance from 2014 to 2019 towards Industrial Symbiosis, highlighting that corrective actions and circular economy strategies may lead this business network to be the first Industrial Symbiosis case in Brazil in the next few years, meanwhile fostering the ecological network’s process to the country.

Smart cities leverage information and communication technologies to enhance urban life quality, essential in densely populated environments requiring comprehensive planning. A critical area in urban settings is food production and delivery, where effective management becomes vital. New technologies can assist, but require models that support innovative production and commercialization methods. This study proposes an integration model between family farming—producers of organic food—and urban areas—consumers of these products. The model focuses on the management of organic food production and delivery to meet urban demands, serving as a tool in the transformation of these areas into smart municipalities. Additionally, this study suggests an alternative certification method for organic food production within family farming. A systematic literature review was conducted using the Methodi Ordinatio methodology. Content analysis of the selected articles identified strategies cities can adopt to promote organic certification, emphasizing transparent governance, public food procurement policies, and participatory certification systems. The proposed model aims to reduce bureaucracy and improve family farmers’ income, aligning with several Sustainable Development Goals: SDG 2 (Zero Hunger), SDG 8 (Decent Work and Economic Growth), SDG 11 (Sustainable Cities and Communities), SDG 12 (Responsible Consumption and Production), SDG 15 (Life on Land), and SDG 17 (Partnerships for the Goals).

Unemployment is a global issue that impacts millions of people. Some studies identify the lack of hard skills as a significant barrier to entering or re-entering the labor market. It can also hinder job retention and limit opportunities for promotions and salary increases. Taking this scenario into consideration, this article proposes a strategy to address unemployment caused by the lack of hard skills, specifically targeting higher education students. This paper proposes a conceptual model designed for future implementation, which integrates university educational programs with the hard skills demanded by job openings in Brazil. To achieve this goal, a systematic literature review was performed, leading to the development and description of the conceptual model. The theoretical findings highlight the originality of this study, with the conceptual model serving as a preliminary step toward better aligning university programs with labor market needs through more targeted planning of higher education offerings.