Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.
A fundamental issue in the implementation of the 2030 Agenda at the national level refers to the systemic analysis of interactions of global targets, considering the context-specific understanding of these interactions within a long-term vision. Another critical issue is how to apply and combine different approaches and tools to provide a consistent analysis for evidence-based decision-making on the Sustainable Development Goals (SDGs) and global targets. Consistent with both concerns, a systemic and contextual framework to prioritize SDG targets for a country’s 2030 Agenda is proposed, by integrating fuzzy multicriteria decision-making methods, prospective structural analysis, and network theory tools. The applicability of the proposed framework could be demonstrated through a socio-technical experiment carried out during 2018 for the definition of the 2030 Agenda in Brazil. The experiment is especially designed to bring methodological insights to this decision-making process, and empirical results highlight the targets that will drive the Brazilian 2030 Agenda. Although the empirical results presented in this paper are exclusive to Brazil, we believe that the proposed framework can be replicated in other countries, especially those that are going to prioritize the global targets to be included in their respective Agendas.
Smart manufacturing comprises fully integrated manufacturing systems that respond in real time to meet the changing demands and conditions in industrial activities, supply networks and customer needs. A smart manufacturing environment will face new challenges, including those concerning metrological issues, i.e., analysis of large quantities of data; communication systems for digitalization; measurement standards for automated process control; digital transformation of metrological services; and simulations and virtual measurement processes for the automatic assessment of measured data. Based on the assumption that the interplay between smart manufacturing and digitalization of metrology is an emerging research field, this paper aims to present a systematic literature review (SLR) based on a bibliographic data collection of 160 scientific articles retrieved from the Web of Science and Scopus databases over the 2016–2022 time frame. The findings presented in this review and recommendations for building a research agenda can help policy makers, researchers and practitioners by providing directions for the evolution of digital metrology and its role in the digitalization of the economy and society.
The present work aims to analyze problems and obstacles to innovation faced by architectural and engineering services companies in Brazil, focusing on standardization and regulation issues. We have drawn the data from the National Innovation Survey 2014 (Pintec 2014) to answer how the companies in this sector perceive the importance of problems and obstacles throughout their cycles of innovation concerning difficulties of meeting government regulations, legal or voluntary standards requirements, and accessing specialized technical/technological services. The respondent companies were asked to inform their perceptions of the importance of the barriers that they face to innovate in a three-point response scale (high, medium, and low importance or not relevant).
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