Knowledge management within organizations allows to support a global business strategy and represents a systemic and organized attempt to use knowledge within an organization to improve its performance. The objective of this research is to study and analyze knowledge management through Bayesian networks with machine learning techniques, for which a model is made to identify and quantify the various factors that affect the correct management of knowledge in an organization, allowing you to generate value. As a case study, a technology-based services company in Mexico City is analyzed. The evidence found shows the optimal and non-optimal management of knowledge management, and its various factors, through the causality of the variables, allowing us to more adequately capture the interrelationship to manage it. The results show that the most relevant factors for having adequate knowledge management are information management, relational capital, intellectual capital, quality and risk management, and technology assimilation.

Faced with the pandemic caused by COVID-19, universities worldwide are giving a powerful response to support their communities. One way to provide support is via the collaboration between universities and industries, allowing the co-creation of knowledge that leads to innovation. Historically, universities, as knowledge-intensive organizations (KIOs), have produced knowledge through research. At present, its important contribution to countries’ economy is widely recognized through the development of new knowledge and technical know-how. Universities are a source of innovation for firms, which ultimately translates into social welfare improvements. The objective of this research is to analyze the university–firm linkage. The methodological strategy is carried out using Bayesian networks through a model where the main elements of university–industry linking, which impact competitiveness and innovation, are identified and quantified. The technology transfer model shows that the most crucial processes are Technology Strategy, Value Proposal, Knowledge Management, Control and Monitoring, Innovation Management, Needs Detection, Knowledge Creation, New Products and Services, and Absorption Capacity.

Gestión de la tecnología e innovación: un Modelo de Redes Bayesianas

Introduction: The objective of the research was to analyze the effect of COVID-19 with the predictors of the health belief model (perceived severity, perceived benefits, and cue to action) on the social identity of the consumer and the social identity of the socially responsible food consumption among four generation groups of adults based on the stimulus-organism-response model.Methods: The study had a quantitative approach explanatory design and a cross-sectional temporal dimension. A total of 834 questionnaires were collected from adults in the metropolitan area of Mexico City, and the data were analyzed through partial least squares structural equation modeling.Results: The results indicated that perceived severity, perceived benefits, and cue to action positively and significantly influenced social identity, and this positively and significantly influenced socially responsible consumption. In addition, identity was found to be a variable that had a total mediation effect between perceived severity and socially responsible consumption, perceived benefits and socially responsible consumption, and cue to action and socially responsible consumption. While the perceived barriers only had a direct effect on socially responsible consumption. Likewise, a difference was found between generation X and Y, generation Z and X, and generation Y and X in the relationship between cue to action, belonging to a social network group, and social identity.Discussion: In this sense, these results allow us to consider that when environmental stimuli (predictors of the health belief model) affect the organism (social identity), it will respond with socially responsible food consumption. This type of consumption is explained through social identity and is modified according to the age of the consumers due to the effects of social networks.

Objetivo. Identificar las tendencias temáticas sobre transformación digital en el campo de las ciencias administrativas y contabilidad. Diseño/Metodología/Enfoque. Se realizó un análisis bibliométrico considerando 7,519 documentos indexados en la base de datos Scopus entre 1970 y 2023. El análisis se realizó usando las palabras claves de los autores para identificar las tendencias temáticas. Resultados/Discusión. Se identificaron núcleos temáticos relacionados con Covid-19, marketing digital, tecnologías emergentes, innovación, industria 4.0 y Fintech. Conclusiones. El Covid-19 no solo impulsó la transformación digital, sino que también impulsó la investigación en este campo aplicado a las ciencias administrativas y contabilidad. Sin embargo, el avance de las tecnologías digitales ha influido en la producción científica. Asimismo, hay otras tendencias como sostenibilidad que convergieron en la generación de conocimiento.

In recent years, the MOOC (Massive Open Online Course) is an essential piece of distance education. The aim of this research article to analyze a knowledge transfer model through an entrepreneurial MOOC, where the basis of the course for knowledge creation is creative strategies of learning as gamification, communities of practice. The methodological approach used in this research is mixed, quantitative and qualitative descriptive. The population under study is 1910 people, of which 890 (46.60%) participated at the beginning and 216 (24.3%) finalized, to which it uses two questionnaires. The course structure is connectivism, cooperation, and gamification, with a practical methodology of game-based learning to develop the spirit of enterprise. The results show a higher percentage of student retention through the introduction of an educational scenario design based on games, through visual contents and intellectual challenges. At the same time, the evidence shows that in the realization of this course it is necessary to work on mechanisms of delivery and quality of material must be worked on and presented in short times. The research concluded that the understanding of a MOOC is not an easy task; it involves many pedagogical tools to achieve higher retention. Actualmente los Massive Open Online Course (MOOC) son una pieza esencial en la educación a distancia. El objetivo del presente artículo es analizar un modelo de transferencia de conocimiento a través de un gcMOOC de emprendimiento, desde su desarrollo hasta la terminación por parte del alumnado. La creación del conocimiento se basa en estrategias creativas de aprendizaje, tales como: la gamificación, las diversas interacciones entre los participantes a través de redes, foros y comunidades de práctica. La estrategia metodológica utilizada en esta investigación es mixta, cuantitativa y cualitativa descriptiva. La población objeto de estudio son 1910 personas, de las cuales 890 (46.60%) participaron al inicio y finalizaron 216 (24.3%), se les aplicaron dos cuestionarios. La estructura del curso que se analiza está basada en el conectivismo, en la cooperación y en la gamificación. Los resultados muestran un mayor porcentaje de retención del alumnado mediante la introducción de un diseño de escenario educativo basado en juegos mediante contenidos altamente visuales y retos intelectuales. Las evidencias muestran que en la realización de un curso de este tipo se deben trabajar mecanismos de entrega y calidad del contenido. Sin embargo, hay que considerar cursos de tiempos cortos. Se concluye que la realización de un MOOC no es tarea sencilla, sino que involucra muchas herramientas pedagógicas para lograr una mayor retención.