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Artificial intelligence (AI) can significantly contribute to the implementation of the United Nations Sustainable Development Goals (SDGs) by offering innovative solutions and enhancing the efficiency of processes aimed at achieving these goals. There is a perceived need for studies which may look at these connections. Against this background, this paper reports on a study that investigated the connections between artificial intelligence and the implementation of the UN Sustainable Development Goals (SDGs) at higher education institutions. The paper deployed a multi-methods approach. The first one was a bibliometric analysis of publications in the topic. The second method used was an assessment of a set of case studies, that illustrate how artificial intelligence is being deployed among a sample of universities in support of efforts to implement the SDGs and a survey aimed at identifying current and future trends. The data gathered allow some trends to be identified. For instance, that there is a wide range of applications of AI to sustainability in High Education Institutions (HEI), to be chosen in terms of campus operations and greening, outreach and community engagement, research, teaching and learning, and university management. Also, the paper has identified successful examples of the deployment of AI in various sustainability contexts, illustrating what are the success factors for them. Moreover, the survey identified the fact that the use of AI is quite widely spread, and is likely to increase in coming years, due to a greater demand. Finally, AI also poses several challenges, such as authenticity and ethics in assessment (case studies), 'lack of access to software/materials', and 'lack of information technology training for myself/my colleagues' (survey). Overall, AI offers a powerful toolset to accelerate and enhance the implementation of the UN SDGs. By analysing vast datasets, predicting outcomes, optimising processes, and providing new insights, AI has the potential to address complex sustainability challenges across various sectors. HIGHLIGHTS: Artificial intelligence (AI) is fast becoming a component of modern life, being used in many areas. AI has a growing impact on achieving the Sustainable Development Goals. It can catalyse innovations in areas as varied as circular economy and smart cities. AI offers a vital nexus between sustainable development and effective climate change adaptation. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to present an innovative and transformative online approach to sustainable development in management education. Design/methodology/approach: A case study and action research were carried out in a Brazilian business school during an academic semester. Specifically, in the context of a discipline entitled "Socio-environmental Management in Companies", several pedagogical strategies were designed and implemented to ensure undergraduate students' learning. This study involved the collection and analysis of both quantitative and qualitative data from multiple sources, which were analysed using descriptive statistics, thematic and content analysis techniques. Findings: By assessing the strategies, tools and resources used during the course, the findings of this study show that the discipline supported the students' transformative learning towards sustainability. Research limitations/implications: This study has both theoretical and practical implications by describing and evaluating an innovative and engaging pedagogical approach to sustainable development in management education. Originality/value: The approach developed through this research provides educators and higher education institutions with innovative strategies for transformative learning towards sustainability in management education. Moreover, the approach can be adapted and implemented in other fields of knowledge. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to analyze how the career-building process of sustainable entrepreneurs occurs from the perspective of sustainable careers and how the influential factors in their career decisions are related to the dimensions and characteristics of sustainable careers. Design/methodology/approach: This is a qualitative study carried out by analyzing three Brazilian entrepreneurs' life stories. Subsequently, the data were submitted to narrative analysis using the Atlas.ti software and then interpreted using sustainable career's dimensions and characteristics. Findings: The study corroborates the literature on entrepreneurship, sustainability, and careers, shedding new light on the career decision process of sustainable entrepreneurs from the assumptions of the sustainable career perspective. We identified the emergence of influential categories as a disorienting dilemma, the importance of agency and meaning dimensions and the career coherence with values, quality of life, and self-fulfillment. In addition, sustainable entrepreneurship appears to be in line with the ideals of decent work, allowing for individual well-being, matching life and career values, and long-term employability. Originality: The sustainable career perspective offers an innovative, dynamic, and systemic perspective to understanding the professional trajectories of sustainable entrepreneurs, considering their learning along their trajectory, crossing different social spaces, experiences, and creations, which allow them to improve the adaptability necessary for the sustainability of their careers. [ABSTRACT FROM AUTHOR]

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