Trabajos de Titulación - Extensión Cañar - Administración de Empresas
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Examinando Trabajos de Titulación - Extensión Cañar - Administración de Empresas por Asesores "Ordoñez Laso, Ana Luisa"
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- ÍtemSolo MetadatosDinámica del emprendiendo en el cantón Suscal(Universidad Católica de Cuenca., 2021) Santander Zaruma, Fausto Rafael; Ordoñez Laso, Ana Luisa; 030282131-9The objective of this research is to investigate how big the ventures in the Suscal Canton have grown in recent years, as well as, the problems that they have been implemented to maintain themselves in the market, and how dynamic they have been implemented to maintain themselves in the market, and how dynamic they have become. Therefore, a survey was applied to a selected population through the stratified random sampling method. The population of the study included 466 ventures from the Suscal Canton, which are comprised in its municipal license registry, of its Autonomous Decentralized Intercultural Participatory Government, in 2021. In conclusion, from the results gathered in the survey, it can be stated that the ventures in the Suscal canton are scarcely dynamic, due to certain factors such as the origin of their businesses being more a necessity than an opportunity, the limited generation of employment, even though, they have been in the market for more than 4 years, the low sales growth, the lack of knowledge about the governmental legal regulations that support both entrepreneurs as well as private financial institutions. Keywords: Municipal Patent Registry, Suscal Canton, Covid-19, Stratified random sampling.
- ÍtemEmbargoIntegración de la inteligencia artificial en la gestión de riesgos del sector bancario(Universidad Católica de Cuenca., 2024) Sotamba Camas, Daysi Alexandra; Ordoñez Laso, Ana LuisaIncorporating artificial intelligence into risk management within the banking sector is a fundamental tool for monitoring and determining potential losses generated by financial operations, which could compromise their sustainability, profitability, and continuity. This study aims to investigate how artificial intelligence has been integrated into the risk management of the banking sector. The research method used for the theoretical support of the study is a qualitative approach, descriptive scope, and bibliographic design through the study analysis of 110 articles using the PRISMA methodology. It was found that one of the sectors that has experienced the most notable advances due to artificial intelligence is the banking sector. Through this technology, methods are applied to anticipate crucial aspects such as credit, market, operational, and fraud risks. These analytical approaches process information adaptably without establishing predefined relationships between the categories studied, which is essential to obtain impartial data that reinforces the accuracy of the results. These advancements contribute to optimizing the effectiveness of decisions made in managing financial operations. However, it is essential not to neglect the importance of having trained personnel and guaranteeing ethics in data collection, protection, and transparent disclosure. Keywords: Risk management, artificial intelligence, financial institutions, decision-making.