In a context where artificial intelligence (AI) is transforming higher education, this study analyzes how students’ perceptions of AI influence their academic integrity (INA), with a focus on sustainable education. Through a correlational-explanatory analysis based on Structural Equation Models (SEMs) applied to a sample of 659 students from 13 universities in Chile and Peru, it is observed that AI has a significant and direct impact on academic integrity in both countries (β = 0.44). In Peru, the most influential dimension is trust in education (λ = 0.86), followed by social, economic, security, and risk implications (λ = 0.78), while attitudes towards AI also have a direct impact on integrity factors (β = 0.15). In Chile, the dimensions of trust in education (λ = 0.83) and social and economic impact (λ = 0.79) are most relevant, and the relationships between the dimensions of academic integrity such as justice, respect, and responsibility (λ = 0.71) are stronger. The study highlights the importance of incorporating AI literacy into educational curricula and developing regulatory frameworks that promote its ethical use, linking these actions to sustainable education. The findings highlight the need for sustainable educational approaches that enhance understanding of AI and ensure that its use in academia is beneficial, ethical, and contributes to sustainable development.

As Latin American universities pursue digitally and environmentally sustainable teaching models, understanding why students adopt generative AI is essential. We analyzed data from undergraduate students (n = 792) across five Latin American countries (Peru, Chile, Bolivia, Argentina, and Colombia). Grounded in the diffusion of innovations theory, the study evaluated the effects of relative advantage, compatibility, complexity, trialability, and observability on attitudes towards ChatGPT and examined the effect of attitude on intention to use among higher education students in the region. The reliability and validity of the measurement scale were confirmed, and structural relationships were tested using partial least squares structural equation modeling (PLS-SEM). The model explained 58.1% of the variance in attitude: relative advantage (β = 0.247) and compatibility (β = 0.246) exerted the largest effects, followed by trialability (β = 0.223) and observability (β = 0.167); complexity showed a weaker yet significant effect (β = 0.118). Attitude strongly predicted the intention to use ChatGPT (β = 0.777), accounting for 60.4% of its variance. All paths were significant (p < 0.001), and psychometric indicators exceeded recommended thresholds. These findings indicate that student adoption is driven more by perceived academic benefits and alignment with existing learning routines than by technical ease. Highlighting concrete, ethically delineated use cases and providing guided institutional spaces for experimentation may accelerate the responsible, long-term adoption of generative AI in quality higher education.

Atendiendo estas premisas, el propósito de la presente publicación titulada: Innovación y Transformación Digital en la Empresa, es presentar un documento que ofrezca algunas consideraciones en relación con las tendencias que involucran a la innovación digital dentro del ámbito empresarial. Esta iniciativa investigativa no intenta proveer respuestas definitivas, sino promover una disertación reflexiva que coadyuve en la comprensión y adaptación a los cambios que se producen en torno a esta actual dinámica. En este sentido, se presenta una visión general de la transformación digital, explorando su significado y relevancia en el mundo empresarial contemporáneo. Así mismo, se enfoca en fundamentos teóricos y prácticos que sustentan la innovación en las empresas, un requisito esencial para la transformación digital. De la misma manera, se identifican y explican las tecnologías que están facilitando esta transformación, desde la nube hasta la inteligencia artificial. Se precisa, además, cómo las empresas pueden desarrollar e implementar estrategias eficaces para su transformación digital, abarcando experiencias de referencia, retos comunes y alternativas de soluciones potenciales en la implantación de estos procesos. Se consideran, también, los conceptos de innovación abierta y cómo la colaboración puede acelerar y enriquecer esta transformación digital. Además, se exploran las preocupaciones de seguridad y privacidad que surgen en la era digital y cómo abordarlas efectivamente. Finalmente, se estudian herramientas y métricas para evaluar el progreso y el impacto de las iniciativas de estos procesos y se infieren escenarios potenciales y perspectivas de estas acciones, de cara al ámbito corporativo. Sin duda, vivimos en una era donde la tecnología evoluciona a un ritmo vertiginoso, imponiendo a las empresas el desafío de adaptarse para sobrevivir y prosperar. Por ello, los autores asumen la relevancia de estas temáticas como información significativa para líderes e integrantes del mundo corporativo que tengan por convicción la necesidad de actualizarse de manera oportuna a fin de estar preparados no solo para el futuro, sino más bien para un presente dinámico y cambiante. Los autores

This article analyzes innovation and entrepreneurship in Peru, exploring its ecosystem, challenges, opportunities, and the influence of various internal and external factors in this context. Despite significant obstacles such as limited access to financing and institutional support, there is evidence of untapped potential and promising growth. Through the analysis of successful cases like Culqi, Laboratoria, and Agricoolture, valuable lessons are highlighted, including the importance of understanding the market, generating social and economic impact, innovating sustainably, and demonstrating resilience and adaptability. An inclusive, sustainable, and problem-solving approach to innovation and entrepreneurship is recommended, calling on ecosystem actors and policymakers to strengthen their support efforts. This study provides a comprehensive overview of innovation and entrepreneurship in Peru, laying a valuable foundation for future research and actions in this field.

Background The micro, small and medium-sized enterprises (SMEs) play a pivotal role in the Latin America economy, creating jobs, boosting local economic activity and contribute to the socio-economic development of the region. The purpose is to reflect on the current costs management prices, the common challenges faced by SMEs in the region, and effective strategies to improve the profitability and sustainability of these companies. Methods it is addressed as a review study of type reflective, which used the dialectic as a method for the construction of the speech, based on techniques of triangulation of information. Result in order to obtain the results, these study topics were pre-selected: (a) determinants of the costs of production in the SMES, b) strategies for the reduction and control of production costs, and c) impact of production costs on the profitability of SMES. Conclusion the present research article delves into the pivotal factors influencing production costs within microenterprises and small businesses situated in the Latin American context. This study posits that the determinants underpinning these costs encompass a spectrum of elements including but not limited to labor, raw materials and supplies, energy and utilities, infrastructure and logistics, regulatory frameworks, and administrative intricacies. Furthermore, the intricate interplay of technology adoption and innovative capabilities is also recognized as a crucial facet in this cost determination paradigm. The overarching understanding underscores the direct and substantial influence of these multifaceted determinants on the operational expenditure of microenterprises and small businesses.