This study explores the evolution and impact of research on the challenges and opportunities in the implementation of artificial intelligence (AI) in manufacturing between 2019 and August 2024. By addressing the growing integration of AI technologies in the manufacturing sector, the research seeks to provide a comprehensive view of how AI applications are transforming production processes, improving efficiency, and opening new business opportunities. A bibliometric analysis was conducted, examining global scientific production, influential authors, key sources, and thematic trends. Data were collected from Scopus, and a detailed review of key publications was carried out to identify knowledge gaps and unresolved research questions. The results reveal a steady increase in research related to AI in manufacturing, with a strong focus on automation, predictive maintenance, and supply chain optimization. The study also highlights the dominance of certain institutions and key authors driving this field of research. Despite the progress, significant challenges remain, particularly regarding the scalability of AI solutions and ethical considerations. The findings suggest that while AI holds considerable potential for the manufacturing industry, more interdisciplinary research is needed to address existing gaps and maximize its benefits.

In recent times, artificial intelligence (AI) has been generating a significant impact in various industry sectors, which implies that companies must be ready to adjust to this promising start and progress in the direction of sustainability. The objective of this paper was to analyze the industrial sectors impacted by artificial intelligence during the period 2018–2022. The methodology consisted of applying a quantitative and bibliometric approach to a collection of 164 manuscripts indexed in Scopus with the help of statistical packages such as RStudio version 4.3.0, VOSviewer version 1.6.19, and Microsoft Excel 365. The results indicate that artificial intelligence is having a growing impact in sectors such as technology, finance, healthcare, the environment, and construction. Geographically, the most impacted sectors are in Europe and Asia, while the least impacted are in the Americas, Africa, and Oceania. It is proposed to conduct future research using AI in power quality (PQ), energy storage systems (ESSs) and hydrogen fuel cell (HFC) systems to contribute, firstly, in the transition to a more sustainable economy, followed by a decrease in dependence on fossil fuels. This research contributes to existing knowledge and paves the way for future exploration of qualitative aspects and emerging trends in the field of artificial intelligence influence in industrial sectors.

Industry 5.0 arrived and sounded the alarms, warning entrepreneurs to adopt it as quickly as possible; the advantage is that this industry is still in its preliminary stages. However, there is little research on this model in the literature. In this context, the objective of this study was to analyze the current state of industry 5.0 in 215 publications from the Scopus database during the period 2019–2022. The applied methodology was quantitative analysis, with a bibliometric approach supported by the VOSviewer and RStudio software, in addition to the Microsoft Excel application. The results showed: (1) an exponential growth of article and conference paper publications in 2022, all indexed in journals of subject areas such as engineering and computer science; (2) four more industries influenced by i5.0, where the electronics sector leads well above manufacturing, energy and public service; (3) seven research topics associated with i5.0 that deal with the transition from industry 4.0 to 5.0; and (4) six little-explored research topics that would help i5.0 move to a new stage and which are related to environmental sustainability, social sustainability, cobots, bioeconomy, smart cities, and sentiment analysis. This study found a gap in the industry 5.0 literature; therefore, this document serves as a guide for future research.

Digitalization has significantly transformed businesses in the 21st century, but there are gaps in understanding how it affects human resource management and organizational culture in SMEs in Lima, Peru. This study aims to fill this gap by analyzing the influence of digital transformation, digital competencies, and digital HR management on the organizational culture of SMEs in Lima and how these factors contribute to organizational sustainability. Using a quantitative approach and structural equation modeling (SEM), 307 business leaders were surveyed between January and March 2024. The results show that digital transformation and digital competencies significantly influence digital HR management, which positively impacts organizational culture and promotes sustainable practices. Additionally, it was found that digital HR management mediates the relationship between digital transformation and organizational culture, as well as between digital competencies and organizational culture. It is crucial to invest in digital technologies and foster digital competencies to improve HR management and promote a sustainable organizational culture. In conclusion, digitalization redefines organizational culture and reinforces sustainability, especially in SMEs in Lima, Peru, providing new scientific value by demonstrating these mechanisms of change.

This study examines the mediating role of Digital Competencies (DCs) in the relationship between Digital Human Resource Management (DHRM) and Digital Transformation (DT) in SMEs in Lima, Peru. Employing a non-experimental, cross-sectional design, data was collected through a structured survey of 272 SME entrepreneurs. Partial Least Squares Structural Equation Modeling (PLS-SEM) was selected due to its suitability for mediation analysis in studies with moderate sample sizes and non-normal data distributions. Results indicate that DHRM significantly enhances the development of DCs (β = 0.750), which in turn positively influences DT (β = 0.433). The analysis confirms a partial mediating effect of DCs between DHRM and DT (indirect effect β = 0.325; VAF = 52.7%), highlighting the importance of digital upskilling in amplifying human-centered transformation. While DT may support operational efficiency and resource optimization, sustainability was not directly measured and should be explored in future research. Practical recommendations include implementing adaptive digital training programs, integrating AI-enabled HR tools, and fostering inter-organizational collaboration to strengthen digital capabilities. Key limitations involve the cross-sectional nature of the study and reliance on self-reported data, which may affect causal inference and introduce perceptual biases. This research contributes by offering actionable strategies for SMEs aiming to enhance their digital competitiveness through workforce-centered innovation.

La gestión del conocimiento es un proceso que demanda una estrategia empresarial que se integre con la política de la empresa, implementación, seguimiento y evaluación. En este sentido, el objetivo del artículo consiste en analizar la gestión del conocimiento en la era digital, su producción científica en el tiempo y sus áreas de aplicación. Así se analizan 167 artículos sobre Gestión del Conocimiento publicados en Scopus entre 2019 y 2023, empleando una metodología bibliométrica con enfoque cuantitativo. Los resultados muestran un aumento anual del 5,97% en publicaciones, destacando a Reino Unido y China como países líderes. Las áreas temáticas predominantes incluyen Gestión Empresarial, Contabilidad, Ingeniería, Ciencias Sociales y Ciencias de la Decisión. Un 93,1% de los trabajos corresponde a artículos originales, reflejando un creciente interés en la Gestión del Conocimiento y su vínculo con la sostenibilidad. Los principales temas abordados incluyen aprendizaje profundo, adaptabilidad, tecnología de la información, intercambio de información y comportamiento organizacional. El estudio concluye que la Gestión del Conocimiento, al optimizar recursos y mejorar estrategias, es clave para desarrollar empresas sostenibles y constituye un proceso continuo que fortalece la toma de decisiones y el funcionamiento organizacional.