Innovativeness is a characteristic of digital technologies (DT), and they have been assuming an important role in economic, social, and environmental dimensions. Therefore, DT are relevant contributors for sustainable development goal (SDG) achievements. This study aims to compare the preference for artificial intelligence-driven digital technologies (AI-Driven DT) to achieve SDGs in Brazil and Portugal. An independent sample t-test analysis and Levene test are performed to identify potential artificial intelligence-driven digital technologies (AI-Driven DT) as favorable facilitators for SDG achievements in Brazil and Portugal. Based on the findings, a broader analysis is provided, to (i) indicate potential favorable SDGs, (ii) discuss differences between the countries in AI-Driven DT preferences in each SDG, and (iii) make recommendations for potential technologies that could receive more attention and investments in both regions to make emergent digital technologies succeed, with a particular emphasis on cleaner production. The analysis is organized into three dimensions: economic, social, and environment. At the end, a closing discussion is provided about the key guidelines and prospects that could be adopted to keep a strong and positive shift of AI-Driven DT developments and applications towards fully supporting the attainment of the SDG of United Nations Organization (ONU) Agenda 2030.

Purpose: Atlas.ti™ provides useful analytical resources in academic research, particularly for social science disciplines. This technical report presents a case study utilizing a CAQDAS package, as example of research, to show how to utilize Atlas.ti™ version 7. This will serve as a practical guide for qualitative researchers who are beginning to use CAQDAS Atlas.ti™.Design/methodology/approach: Atlas.ti™ software is required to disclose an academic study data introduction, analysis and retrieval outcomes about how commitment, development and innovation contribute to resources mobilization and stimulate capacity of research, development and innovation (R&D&I) team in a traditional business.Findings: Better outcomes have demonstrated Atlas.ti™ usage as a software that organize, retrieve, analyze data in a continuous and cyclical ways in procedures that require constantly comparison.Practical implications: Atlas.ti™ components, such as co-occurrence code, query tool and network view are applied to support data analysis and make easier code validation and emerged categories to understand how to handle qualitative data to organize scientific qualitative approach.Originality/value: Practical presentation of Atlas.ti™ and discussion about benefits of such technology adoption.

Este comentário editorial tem como objetivo discutir o processo aplicação de entrevistas em pesquisa qualitativa. A entrevista é uma rica fonte de evidências desde que seja bem empregada, o que gera validade, com análise e interpretação adequada, resultando em uma pesquisa confiável. Um aspecto relevante nesse método é o grau de interação e profundidade na “conversa direcionada” com o entrevistado. Este diálogo proporciona compreender a intersubjetividade do entrevistado, permitindo ao pesquisador descrever a realidade social pesquisada. Contudo, essa compreensão depende da competência e do preparo do entrevistador. Entrevistas mais objetivas permitem depreender frações superficiais dos sentimentos, percepções e atitudes dos entrevistados. Por outro lado, entrevistas em profundidade e Focus Group permitem compreender a realidade do entrevistado a partir da sua perspectiva. Esperamos contribuir na obtenção de pesquisas com uma melhor aplicação de entrevistas, o que contribuirá com o processo de análise e construção dos achados, melhorando a qualidade de artigos recebidos.

QUANTITATIVA OU QUALITATIVA? UM ALINHAMENTO ENTRE PESQUISA, PESQUISADOR E ACHADOS EM PESQUISAS SOCIAIS

This article aims to describe the current state of research on plastic waste management as a circular economy practice at the end of the supply chain. The methodological strategy chosen was a systematic literature review. The articles selected from the Web of Science and Scopus databases were screened, and the research corpus consisted of 201 articles published in journals between 2014 and 2021. The results present 13 study categories, showing topics such as pyrolysis, business models, Industry 4.0, and energy generation. The insertion of Industry 4.0 technologies is still in its initial stages, comprising mainly the generation of inputs to reuse waste for 3D printers’ materials. Regarding energy generation, the insertion of processes such as pyrolysis for fuel generation stands out. The proposed discussion in this article suggests a circular ecosystem in which wastes follow a reuse flow according to their properties; incineration can be an option depending on the stage and benefits generated from the removal of plastic waste from the ecosystem. The highlighted issue is the scalability of the developed processes in the research, which is only possible if the state, universities, and civil society integrate efforts in the construction of a circular ecosystem infrastructure for waste management.

Cities and their constant growth have a crucial role in global sustainable development. The objective of this article is to present a conceptual framework of collaborative governance for the shaping of sustainable cities. The adoption of the multiple case study (5) method allowed understanding the reality of the cities of Copenhagen (Denmark), Amsterdam (Netherlands), London (England), Hamburg (Germany) and Barcelona (Spain). Sources of evidence were collected through in-depth interviews, documents, and observation, plus the data analysis was performed by using the NVivo software. For that, exploratory-descriptive research was conducted with the use of a qualitative research approach. The results exhibit strategies, benefits, risks, and limits inherent to collaborative governance systems in the cities and bring contributions to the development of the governance theory.