The application of artificial intelligence (AI) in sustainable practices entails the utilization of techniques and algorithms to address environmental, social, and economic challenges with the objective of promoting sustainability across various sectors. Nevertheless, there are research gaps that require further investigation. It is of paramount importance to examine how AI can influence business models from the perspective of the Sustainable Development Goals (SDGs) to gain a deeper understanding of the potential of AI and to contribute to sustainability. The objective of this study is to examine research trends on the topic. The PRISMA-2020 methodology was employed for bibliometric analysis, and data were gathered from Scopus and Web of Science. The years of greatest interest were 2023 and 2022, during which time literature showed exponential growth. Notable references included Di Vaio and Palladino, while prominent periodicals included Sustainability and the Journal of Cleaner Production. China, the United States, and India were the leading countries in terms of scientific production. Thematic evolution revealed a shift toward SDG and artificial neural network. The principal thematic clusters were “Sustainable Development” and “Higher Education.” The emerging keywords were “Blockchain” and “Feature Selection.” An interdisciplinary research agenda was proposed to address these topics.

Sustainable development in smart cities involves the integration of advanced technologies and efficient urban management to address challenges such as population growth and resource optimization. These cities leverage information technologies to improve quality of life and promote more sustainable urban governance. Although scientific production in this field has grown significantly, important gaps remain that require in-depth analysis. This study aims to examine research trends on the topic through a bibliometric analysis of 427 publications retrieved from Scopus and Web of Science, following the PRISMA 2020 guidelines. The results reveal growing interest, with significant publication peaks in 2021 and 2023. China (28.1%), the United States (16.6%), and India (9.4%) emerge as the most productive countries. Among the most influential institutions are Tongji University and Tsinghua University, while Sustainability leads as the most prolific journal (18.5%). These findings reflect Asia’s leadership in generating knowledge in this area. Thematic evolution reveals a shift toward emerging topics such as the Internet of Things (IoT), artificial intelligence, and resilience, forming key conceptual clusters. The emergence of keywords such as “energy efficiency” and “smart mobility” points to promising areas for future research. Key authors like Bibri, Yigitcanlar, and Krogstie provide solid theoretical frameworks to guide upcoming studies. Overall, the findings underscore the need for global collaboration to address sustainability challenges in increasingly urbanized and technologically driven societies.

Digital transformation has been identified as a primary catalyst for sustainability and competitiveness in the textile industry. The implementation of strategic and efficient solutions, including automation of tasks, virtual reality, and big data, is driving these advancements. However, extant literature on the subject reveals significant gaps regarding the impact of digital transformation on business performance within the sector. The objective of this study is to examine research trends related to digital transformation in the textile sector, with a particular focus on how these technologies enhance company performance in terms of productivity, product quality, and customer satisfaction. A bibliometric analysis is conducted using the Web of Science and Scopus databases, following PRISMA guidelines. The analysis identifies the United States and the United Kingdom as leaders in this research area, and highlights sustainability and supply chain management as growing topics in academic literature. The study further identifies significant themes for the future research agenda, including the use of artificial intelligence in supply chain management, e-commerce in sales management, and the need to develop digital skills and ethical considerations for professionals in the sector. The findings demonstrate that the implementation of digital technologies and platforms has enhanced product quality and customer satisfaction, while facilitating market expansion. From a policy perspective, it is recommended that governments support innovation, digital skills development, and collaboration among stakeholders to foster sustainable growth in the textile sector.

The present study explores the benefits and challenges of integrating technology into the early stages of education, including the use of robotics in primary education. While social and emotional learning has been widely studied in the Ibero-American context, there is a paucity of comprehensive studies examining the integration of robotics at this educational level. The present study aims to identify research trends through a bibliometric analysis conducted in accordance with the PRISMA statement, utilizing the Scopus and Web of Science databases. The results of this study highlight key developmental periods and reveal a significant increase in the volume of literature on the topic. The thematic evolution, from compilers to educational technology and teaching programming, reflects adaptation to educational and technological demands, identifying thematic clusters and potential areas of interconnection. Emerging keywords suggest a balance between continuity and innovative exploration. This analytical framework provides strategic guidance for academics, educators, and policymakers, facilitating the planning of initiatives to advance the integration of robotics in primary education.

The subject of sustainable entrepreneurship has been the focus of extensive research in recent years, due to the benefits it offers in terms of sustainable development at the national level. Nevertheless, a knowledge gap persists regarding the factors that influence university students’ intentions to engage in sustainable entrepreneurship, despite advancements in the assessment of values and moderating factors such as educational support and commitment to sustainability. The objective of this study is to examine the factors that shape the sustainable entrepreneurial intentions of university students in the city of Medellín, Colombia. To this end, an extended version of the Theory of Planned Behavior (TPB) is employed in a sample of 350 university students. The results are analyzed using partial least squares structural equation modeling (PLS-SEM). The findings substantiate the assertion that TPB factors exert a significant influence on students’ sustainable entrepreneurial intentions, particularly in relation to perceived control over behavior and social norms. Moreover, students tend to be more motivated by extrinsic rewards and demonstrate a greater inclination to consider both future and immediate consequences, as well as intrinsic rewards in relation to control. This study makes a significant contribution to the advancement of the theory on sustainable entrepreneurial intention in the Colombian context. It provides a theoretical model that can be replicated in other emerging regions, thus expanding knowledge on the factors that influence sustainable entrepreneurship at the university level.