EsACT - Resumos em Proceedings Não Indexados à WoS/Scopus
URI permanente para esta coleção:
Navegar
Percorrer EsACT - Resumos em Proceedings Não Indexados à WoS/Scopus por Domínios Científicos e Tecnológicos (FOS) "Engenharia e Tecnologia"
A mostrar 1 - 2 de 2
Resultados por página
Opções de ordenação
- AI-powered educational platforms for enhancing social entrepreneurship skills: a systematic literature reviewPublication . Fernandes, Catarina; Pinheiro, Milhões EduardoThe goal of the research is to understand how AI-powered educational platforms can effectively enhance social entrepreneurship skills among higher education students. Specifically, the research aims to: 1. Explore the effectiveness of different AI-driven educational tools in cultivating essential competencies such as innovation, leadership, and ethical decision-making within the context of social entrepreneurship education. 2. Evaluate the comparative impact of various platforms on students; learning experiences and outcomes, particularly in diverse educational settings. 3. Identify the unique features and strengths of each platform to guide educational institutions in selecting the most suitable tools for fostering social entrepreneurship skills among their students.
- The Role of Artificial Intelligence in Social Media Marketing: A Literature Review Focusing on SMEs in Local AccommodationPublication . Gomes, Cristina; Coelho, Ana Sofia; Morais, Elisabete PauloPurpose: This study aims to explore how Artificial Intelligence (AI) is transforming social media marketing in the local accommodation sector, with a particular focus on small and medium-sized enterprises (SMEs). It seeks to identify key trends, benefits, and challenges associated with AI adoption in this context. Methodology: A systematic literature review was conducted following the PRISMA framework. The analysis included peer-reviewed articles and academic sources retrieved from SCOPUS, ScienceDirect, Google Scholar, and RCAAP, published over the last five years. Results: The findings indicate that AI significantly enhances customer engagement, improves conversion rates, and increases operational efficiency through tools such as predictive analytics and automated content generation. However, several challenges were identified, including ethical concerns related to data privacy, algorithmic bias, and the need for transparent governance. Research Limitations: This study is limited by the scope of available literature and the focus on secondary data. Empirical validation through case studies or fieldwork was not conducted, which may restrict the generalizability of the findings to all SME contexts. Originality: This paper contributes to the limited academic discussion on AI in social media marketing for SME local accommodation. It offers a structured synthesis of recent research and provides actionable insights for SMEs aiming to leverage AI tools in their digital marketing strategies, while also highlighting the importance of ethical and sustainable implementation.
