localhost/xmlui/handle/123456789/5 2026-10-26T10:33:24Z localhost/xmlui/handle/111506/3122 Optimization of Urban Mobility with IoT and Big Data: Technology for the Information and Knowledge Society in Industry 5.0 Acuña Acuña, Edwin Urban mobility is a critical challenge for modern cities. This study explores how advanced technologies like the Internet of Things (IoT) and Big Data can optimize urban mobility within Industry 5.0 and the Information and Knowledge Society. Integrating IoT into urban infrastructure enables real-time data collection from traffic sensors, surveillance cameras, and mobile devices. Analyzing this data with Big Data techniques provides insights for improving traffic management, reducing congestion, and enhancing public Urban mobility is a critical challenge for modern cities. This study explores how advanced technologies like the Internet of Things (IoT) and Big Data can optimize urban mobility within Industry 5.0 and the Information and Knowledge Society. Integrating IoT into urban infrastructure enables real-time data collection from traffic sensors, surveillance cameras, and mobile devices. Analyzing this data with Big Data techniques provides insights for improving traffic management, reducing congestion, and enhancing public 2025-01-01T00:00:00Z localhost/xmlui/handle/111506/3111 La era 4.0. Competencias y habilidades del profesional del futuro Esquivel Barquero, Marco La transformación digital y la revolución 4.0 están modificando el mercado laboral mediante la incorporación de tecnologías como la inteligencia artificial, la automatización, el Big data y el internet de las cosas. Estos cambios están sustituyendo muchas tareas rutinarias y exigen que los profesionales desarrollen habilidades como la adaptabilidad, el aprendizaje continuo, el pensamiento crítico, la innovación y la resolución de problemas para responder a un entorno laboral cada vez más dinámico y tecnológico. The digital transformation and the Fourth Industrial Revolution are reshaping the labor market through the integration of technologies such as artificial intelligence, automation, big data, and the Internet of Things (IoT). These changes are replacing many routine tasks and require professionals to develop skills such as adaptability, lifelong learning, critical thinking, innovation, and problem-solving to succeed in an increasingly dynamic and technology-driven work environment. 2026-07-01T00:00:00Z localhost/xmlui/handle/111506/3110 Aprendizaje en línea: un reto y una oportunidad para la educación del futuro Esquivel Barquero, Marco La educación virtual ofrece flexibilidad y accesibilidad, pero también presenta desafíos psicológicos como la necesidad de autodisciplina, mantener la motivación, evitar distracciones y enfrentar el aislamiento social. Por ello, es fundamental que las instituciones promuevan la interacción y el sentido de comunidad para favorecer el aprendizaje y el bienestar de los estudiantes. Virtual education offers flexibility and accessibility, but it also presents psychological challenges such as the need for self-discipline, maintaining motivation, avoiding distractions, and coping with social isolation. Therefore, it is essential for educational institutions to promote interaction and a sense of community to support students' learning and well-being. 2026-06-25T00:00:00Z localhost/xmlui/handle/111506/3064 Building Data-Driven Organizations: A Theoretical Exploration of the Role of leadership in Big Data Management Abarca Pizarro, Saukén; Palacios Marqués, Daniel Problem: The adoption of Big Data and business intelligence is often limited by the lack of leadership with the necessary skills to manage the information provided by the data. This is compounded by the absence of an organization with an established data-driven culture. Objective: The objective of this study is to analyze how the role of leadership influences the development of a data-driven organizational culture and how this relates to Big Data management. Methodology: A mixed-methods approach was used, based on a systematic literature review of high-impact databases such as Scopus and Web of Science regarding leadership, organizational culture, Big Data, data culture, and decision-making processes published between 2015 and 2025. Results: The study identified four key drivers: data analysis, data democratization, data-driven leadership, and ethics in data-driven decision-making. Conclusions: The study confirms that data analytics, information democratization, data-driven leadership, and a data culture are essential pillars for moving toward truly evidence-based organizations. The coherent integration of these four drivers enables organizations to address the challenges arising from informational complexity and fosters more responsible, ethical, and strategic decision-making. However, it is acknowledged that consolidating this approach requires leadership capable of guiding cultural transformation and mitigating the risks associated with data overload, which defines the scope of this study and opens opportunities for future research 2025-11-17T00:00:00Z