Ítem
Acceso Abierto
Influence of Artificial Intelligence in the firm outcomes by the innovation and R&D perspective
dc.contributor.advisor | Mazloomi Khamseh, Hamid | |
dc.creator | Arciniegas Jiménez, Ana María | |
dc.creator.degree | Administrador de Negocios Internacionales | |
dc.creator.degreetype | Full time | |
dc.date.accessioned | 2021-02-16T17:55:06Z | |
dc.date.available | 2021-02-16T17:55:06Z | |
dc.date.created | 2019-10-28 | |
dc.description | El objetivo principal de esta tesis es analizar y evaluar la complejidad de la cultura de la empresa que debido a los nuevos entornos empresariales y las nuevas dinámicas internas de trabajo ha cambiado de diversas formas. Esta tesis examina el papel de la inteligencia artificial en las organizaciones y la forma en que influye en la innovación y la I + D. Además, este proyecto evalúa y analiza los retos a los que se enfrentan las empresas para optimizar sus recursos, incrementar la innovación, incorporar la I + D en función del tamaño, la cultura corporativa y el presupuesto disponible que debido a los nuevos entornos de negocio y las nuevas dinámicas internas de trabajo ha tenido que cambiar considerablemente. Además, analiza la tendencia de los nuevos usos de las redes neuronales artificiales para analizar datos y como nueva herramienta para desarrollar en profundidad la IA en las empresas. En esta investigación, voy a seleccionar la Industria Farmacéutica, para analizarla. Además, esta visión identificará la relación proporcional de los instrumentos de IA y los crecientes resultados. Por otro lado, este estudio quiere proponer una nueva forma de cómo la IA puede cambiar las organizaciones en un contexto corporativo, mediante el uso de la innovación y su aplicación en todo el proceso de I + D. Sabiendo esto, el enfoque propuesto quiere comprender los componentes más importantes de la toma de decisiones de la empresa utilizando nuevas tecnologías, como la IA. | spa |
dc.description.abstract | The main purpose of this thesis is to analyze and evaluate the company culture complexity which due to the new business environments and the new internal work dynamics has changed in several ways. This thesis examines the role of Artificial Intelligence in the organizations and the way it influences innovation and R&D. Moreover, this project evaluates and analyze the challenges, which the companies are facing to optimize their resources, increment innovation, incorporate R&D depending on the size, corporate culture and available budget that due to the new business environments and the new internal dynamics to work has changed considerably. Furthermore, it analyzes the tendency of the new uses of artificial neural networks to analyze data and as a new tool to develop in-depth the AI in the companies. In this research, I am going to select a specific industry to be analyzed, the Pharmaceutical Industry. This paper will reach all the processes from the R&D and innovation area of the companies that AI affect. In addition, this vision will identify the proportional relation of AI instruments and the increasing outcomes. On the other hand, this study wants to purpose a new way of how AI can change organizations in a corporate context, through the usage of innovation and the application of it in the whole process of R&D. Knowing this, the proposed approach wants to understand the most important components of company decision making using new technologies, such as AI. | eng |
dc.format.mimetype | application/pdf | |
dc.identifier.doi | https://doi.org/10.48713/10336_30917 | |
dc.identifier.uri | https://repository.urosario.edu.co/handle/10336/30917 | |
dc.language.iso | eng | |
dc.publisher | Universidad del Rosario | |
dc.publisher.department | Escuela de Administración | |
dc.publisher.program | Administración de Negocios Internacionales | |
dc.rights | Atribución-NoComercial-SinDerivadas 2.5 Colombia | spa |
dc.rights.accesRights | info:eu-repo/semantics/openAccess | |
dc.rights.acceso | Abierto (Texto Completo) | spa |
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dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | |
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dc.source.instname | instname:Universidad del Rosario | |
dc.source.reponame | reponame:Repositorio Institucional EdocUR | |
dc.subject | Inteligencia Artificial | spa |
dc.subject | Aprendizaje automatizado | spa |
dc.subject | Redes neuronales | spa |
dc.subject | Industria Farmacéutica | spa |
dc.subject | Investigación y Desarrollo | spa |
dc.subject | Innovación | spa |
dc.subject | Tendencias del Futuro | spa |
dc.subject | Sistemas Inteligentes | spa |
dc.subject.keyword | Artificial Intelligence | spa |
dc.subject.keyword | Machine Learning | eng |
dc.subject.keyword | Neural Networks | eng |
dc.subject.keyword | Pharmaceutical Industry | eng |
dc.subject.keyword | R&D | eng |
dc.subject.keyword | Innovation | eng |
dc.subject.keyword | Future Trends | eng |
dc.subject.keyword | Drug discovery | eng |
dc.subject.keyword | Intelligent systems | eng |
dc.subject.keyword | Firm outcomes | eng |
dc.title | Influence of Artificial Intelligence in the firm outcomes by the innovation and R&D perspective | eng |
dc.title.alternative | Influence of Artificial Intelligence in the firm outcomes by the innovation and R&D perspective | spa |
dc.type | bachelorThesis | eng |
dc.type.document | Trabajo de grado | spa |
dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | |
dc.type.spa | Trabajo de grado | spa |
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