Transformación digital y desempeño organizacional en empresas del sector de energía eléctrica
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Rosero Garcia, Javier
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Este documento presenta el resultado de la investigación acerca de la relación entre las nuevas tecnologías digitales asociadas a Transformación Digital y el Desempeño de las organizaciones. Se establece la relación a través de la construcción de un modelo conceptual basado en una revisión sistemática de la literatura (RSL) en la teoría de Capacidades Dinámicas (DC) y la contribución de algunas metodologías, experimentos y validaciones de teorías de visión basadas en recursos (RBV) y de visión basada en conocimiento (KBV).
Este estudio incluye el marco teórico de los temas asociados a la temática planteada, la revisión sistemática de la literatura (RSL), el diseño de modelo conceptual e hipótesis, la realización de encuesta y análisis, validación del modelo y el análisis de resultados. Además, se identifican los factores que fomentan los cambios digitales en las organizaciones y que permitan aprovechar la transformación digital donde se busca optimizar los procesos basados en datos, logrando generar valor en los negocios y en la toma de decisiones.
El estudio permite concluir que los procesos de las organizaciones funcionan como fenómenos que tienen realidades objetivas, que se pueden expresar en relaciones causales y medirse por medio de datos, en muchas ocasiones en tiempo real, y que producen conocimiento como elemento clave en la generación de valor en las organizaciones.
El modelo desarrollado permite identificar la relación de la transformación digital y el desempeño organizacional que se representa a través de relaciones entre los conceptos independientes y dependientes de las organizaciones, donde es posible evaluar la contribución y fiabilidad de cada constructo e hipótesis establecida.
This document presents the result of the research about the relationship between the new digital technologies associated with Digital Transformation and the Performance of organizations. Relationship determined through the construction of a conceptual model based on a systematic literature review, in the theory of Dynamic Capabilities (DC) and the contribution of some methodologies, experiments and analyzed validations of resource-based vision theories (RBV) and knowledge based vision (KBV). The research includes the conceptual recapitulation in the theoretical framework of the topics associated with the proposed theme, the systematic review of the literature (RSL), the design of the conceptual model and hypothesis, the conduct of a survey and analysis, the validation of the model and the analysis of results. As main results, it is shown that research has paid little attention to the factors that encourage or hinder digital and technological changes in organizations, to take advantage of digital transformation and especially big data analytics. However, today's companies seek to optimize data-based processes, generating value in business and decision making. It is concluded, that the processes of organizations function, as phenomena that have objective realities, which can be expressed in causal relationships and measured by means of data, on many occasions in real time, that produce knowledge as a key element in the generation of value in the organizations With which, and through the model developed, it is possible to identify that, digital transformation and organizational performance can be represented through relationships between independent and dependent variables of organizations, in which it is possible to evaluate the contribution and reliability of each variable in the constructs and hypotheses established for each causal relationship.
This document presents the result of the research about the relationship between the new digital technologies associated with Digital Transformation and the Performance of organizations. Relationship determined through the construction of a conceptual model based on a systematic literature review, in the theory of Dynamic Capabilities (DC) and the contribution of some methodologies, experiments and analyzed validations of resource-based vision theories (RBV) and knowledge based vision (KBV). The research includes the conceptual recapitulation in the theoretical framework of the topics associated with the proposed theme, the systematic review of the literature (RSL), the design of the conceptual model and hypothesis, the conduct of a survey and analysis, the validation of the model and the analysis of results. As main results, it is shown that research has paid little attention to the factors that encourage or hinder digital and technological changes in organizations, to take advantage of digital transformation and especially big data analytics. However, today's companies seek to optimize data-based processes, generating value in business and decision making. It is concluded, that the processes of organizations function, as phenomena that have objective realities, which can be expressed in causal relationships and measured by means of data, on many occasions in real time, that produce knowledge as a key element in the generation of value in the organizations With which, and through the model developed, it is possible to identify that, digital transformation and organizational performance can be represented through relationships between independent and dependent variables of organizations, in which it is possible to evaluate the contribution and reliability of each variable in the constructs and hypotheses established for each causal relationship.