Artificial Intelligence-Driven Digital Technologies to the Implementation of the Sustainable Development Goals: A Perspective from Brazil and Portugal

Angélica Pigola, Priscila Rezende da Costa, Luísa Cagica Carvalho, Luciano Ferreira da Silva, Cláudia Terezinha Kniess and Emerson Antonio Maccari
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Angélica Pigola: Master and Doctoral Pos-Graduate Program in Administration, University Nove de Julho (UNINOVE), São Paulo 01504-000, Brazil
Priscila Rezende da Costa: Master and Doctoral Pos-Graduate Program in Administration, University Nove de Julho (UNINOVE), São Paulo 01504-000, Brazil
Luísa Cagica Carvalho: Department of Economics and Management, School of Business and Administration, Institute Polytechnic of Setúbal, 2910-761 Setúbal, Portugal
Luciano Ferreira da Silva: Master and Doctoral Pos-Graduate Program in Administration, University Nove de Julho (UNINOVE), São Paulo 01504-000, Brazil
Cláudia Terezinha Kniess: Civil Engineering Program, Department of Research and Graduate Studies Stricto Sensu, University São Judas Tadeu (USJT), São Paulo 05503-001, Brazil
Emerson Antonio Maccari: Master and Doctoral Pos-Graduate Program in Administration, University Nove de Julho (UNINOVE), São Paulo 01504-000, Brazil

Sustainability, 2021, vol. 13, issue 24, 1-28

Abstract: 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.

Keywords: digital technologies; sustainable development goals; artificial intelligence; emergent digital technologies (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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