Desarrollo de un modelo de dirección estratégica y de auditoria administrativa en el área de cartera de la empresa Agro veterinaria Juan Pablo en la ciudad de Sincelejo-Colombia
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Materias > Ciencias Sociales
Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster
Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster
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En la presente investigación se realiza un análisis estratégico del entorno tanto de factores externos como internos, que influyen o pueden llegar a influir positiva o negativamente en la empresa, identificándose dichos elementos, a través de la aplicación de la metodología PESTEL y FODA, que permita tener en cuenta el medio ambiente donde se desenvuelve la organización para el desarrollo y posterior implementación del modelo a cargo del empresario, en el área de cartera-cuentas por cobrar.El modelo desarrollado del planeación estratégica y auditoria administrativa, está fundamentado en los modelos propuestos por Fred David, Goodstein-Nolan – Pfeiffer y Kaplan-Norton, quienes toman elementos en común como lo son: Filosofía empresarial, planeación estratégica y cultura organizacional, auditoria.Se destaca que el modelo planteado está diseñado por fases, en las cuales deben involucrarse tanto el empresario como sus trabajadores, conformados en sus equipos de trabajo para el análisis interno y la creación de grupos para la construcción de la filosofía empresarial, toda vez que la organización no contaba inicialmente con ella, de igual forma sucede con el compromiso de cada actor en el proceso de aprobación de crédito y gestión cartera.Dentro de los resultados destacados se encuentran que las etapas de los procesos administrativos están centralizadas en la gerencia, al igual que la toma de decisiones relacionadas con aprobación de crédito y gestión de cartera, para lo cual no se cuenta con procedimientos estandarizados ni parámetros que permitan la medición o seguimiento de dichas actividades.Es por ello conforme al planteamiento del problema que la hipótesis planteada en la presente investigación se comprueba, haciéndose necesario el desarrollo de un modelo que conlleve a la planeación estratégica y auditoria administrativa que permita la planear, controlar, medir, estandarizar los proceso realizados para la aprobación y gestión de cartera cuentas por cobrar.
metadata
Estrada Mayoriano, Lina Marcela
mail
marceli1987.me@gmail.com
(2022)
Desarrollo de un modelo de dirección estratégica y de auditoria administrativa en el área de cartera de la empresa Agro veterinaria Juan Pablo en la ciudad de Sincelejo-Colombia.
Masters thesis, SIN ESPECIFICAR.
Resumen
En la presente investigación se realiza un análisis estratégico del entorno tanto de factores externos como internos, que influyen o pueden llegar a influir positiva o negativamente en la empresa, identificándose dichos elementos, a través de la aplicación de la metodología PESTEL y FODA, que permita tener en cuenta el medio ambiente donde se desenvuelve la organización para el desarrollo y posterior implementación del modelo a cargo del empresario, en el área de cartera-cuentas por cobrar.El modelo desarrollado del planeación estratégica y auditoria administrativa, está fundamentado en los modelos propuestos por Fred David, Goodstein-Nolan – Pfeiffer y Kaplan-Norton, quienes toman elementos en común como lo son: Filosofía empresarial, planeación estratégica y cultura organizacional, auditoria.Se destaca que el modelo planteado está diseñado por fases, en las cuales deben involucrarse tanto el empresario como sus trabajadores, conformados en sus equipos de trabajo para el análisis interno y la creación de grupos para la construcción de la filosofía empresarial, toda vez que la organización no contaba inicialmente con ella, de igual forma sucede con el compromiso de cada actor en el proceso de aprobación de crédito y gestión cartera.Dentro de los resultados destacados se encuentran que las etapas de los procesos administrativos están centralizadas en la gerencia, al igual que la toma de decisiones relacionadas con aprobación de crédito y gestión de cartera, para lo cual no se cuenta con procedimientos estandarizados ni parámetros que permitan la medición o seguimiento de dichas actividades.Es por ello conforme al planteamiento del problema que la hipótesis planteada en la presente investigación se comprueba, haciéndose necesario el desarrollo de un modelo que conlleve a la planeación estratégica y auditoria administrativa que permita la planear, controlar, medir, estandarizar los proceso realizados para la aprobación y gestión de cartera cuentas por cobrar.
| Tipo de Documento: | Tesis (Masters) |
|---|---|
| Palabras Clave: | Procesos organizacionales, planeación estratégica, auditoria administrativa, cultura organizacional, filosofía empresarial, microempresas, modelos de administración, toma de decisiones, factores externos, factores internos. |
| Clasificación temática: | Materias > Ciencias Sociales |
| Divisiones: | Universidad Europea del Atlántico > Docencia > Trabajos finales de Máster Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster |
| Depositado: | 03 Nov 2023 23:30 |
| Ultima Modificación: | 03 Nov 2023 23:30 |
| URI: | https://repositorio.uneatlantico.es/id/eprint/1839 |
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Plant stress reduction research has advanced significantly with the use of Artificial Intelligence (AI) techniques, such as machine learning and deep learning. This is a significant step toward sustainable agriculture. Innovative insights into the physiological responses of plants mostly crops to drought stress have been revealed through the use of complex algorithms like gradient boosting, support vector machines (SVM), recurrent neural network (RNN), and long short-term memory (LSTM), combined with a thorough examination of the TYRKC and RBR-E3 domains in stress-associated signaling proteins across a range of crop species. Modern resources were used in this study, including the UniProt protein database for crop physiochemical properties associated with specific signaling domains and the SMART database for signaling protein domains. These insights were then applied to deep learning and machine learning techniques after careful data processing. The rigorous metric evaluations and ablation analysis that typified the study’s approach highlighted the algorithms’ effectiveness and dependability in recognizing and classifying stress events. Notably, the accuracy of SVM was 82%, while gradient boosting and RNN showed 96%, and 94%, respectively and LSTM obtained an astounding 97% accuracy. The study observed these successes but also highlights the ongoing obstacles to AI adoption in agriculture, emphasizing the need for creative thinking and interdisciplinary cooperation. In addition to its scholarly value, the collected data has significant implications for improving resource efficiency, directing precision agricultural methods, and supporting global food security programs. Notably, the gradient boosting and LSTM algorithm outperformed the others with an exceptional accuracy of 96% and 97%, demonstrating their potential for accurate stress categorization. This work highlights the revolutionary potential of AI to completely disrupt the agricultural industry while simultaneously advancing our understanding of plant stress responses.
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Technological firms invest in R&D looking for innovative solutions but assuming high costs and great (technological) uncertainty regarding final results and returns. Additionally, they face other problems related to R&D management. This empirical study tries to determine which of the factors favour or constrain the decision of these firms to engage in R&D. The analysis uses financial data of 14,619 ICT listed companies of 22 countries from 2003 to 2018. Additionally, macroeconomic data specific for the countries and the sector were used. For the analysis of dynamic panel data, a System-GMM method is used. Among the findings, we highlight that cash flow, contrary to the known theoretical models and empirical evidences, negatively impacts on R&D investment. Debt is neither the right source for R&D funding, as the effect is also negative. This suggests that ICT companies are forced to manage their R&D activities differently, relying more on other funding sources, taking advantage of growth opportunities and benefiting from a favourable macroeconomic environment in terms of growth and increased business sector spending on R&D. These results are similar in both sub-sectors and in all countries, both bank- and market based. The exception is firms with few growth opportunities and little debt.
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Carotenoids Intake and Cardiovascular Prevention: A Systematic Review
Background: Cardiovascular diseases (CVDs) encompass a variety of conditions that affect the heart and blood vessels. Carotenoids, a group of fat-soluble organic pigments synthesized by plants, fungi, algae, and some bacteria, may have a beneficial effect in reducing cardiovascular disease (CVD) risk. This study aims to examine and synthesize current research on the relationship between carotenoids and CVDs. Methods: A systematic review was conducted using MEDLINE and the Cochrane Library to identify relevant studies on the efficacy of carotenoid supplementation for CVD prevention. Interventional analytical studies (randomized and non-randomized clinical trials) published in English from January 2011 to February 2024 were included. Results: A total of 38 studies were included in the qualitative analysis. Of these, 17 epidemiological studies assessed the relationship between carotenoids and CVDs, 9 examined the effect of carotenoid supplementation, and 12 evaluated dietary interventions. Conclusions: Elevated serum carotenoid levels are associated with reduced CVD risk factors and inflammatory markers. Increasing the consumption of carotenoid-rich foods appears to be more effective than supplementation, though the specific effects of individual carotenoids on CVD risk remain uncertain.
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Uterine leiomyomas are the most common benign, monoclonal, gynaecological tumors in a woman’s uterus, while leiomyosarcoma is a rare but aggressive condition caused by the malignant transformation of the myometrium. To overcome the common obstacles related to the methods usually used to study these pathologies, we aimed to devise three-dimensional models of myometrium, uterine leiomyoma and leiomyosarcoma cell lines, using two different types of biocompatible scaffolds. Specifically, we exploited the agarose gel matrix in common 6-well plates and the alginate matrix using Bioprinting INKREDIBLE + (CELLINK), a pneumatic extruded base equipped with a system with double printheads, and a UV printer LED curing system. Both methods allowed the development of 3D spheroids of all three cell types, that were also suitable for morphological investigations. We showed that all cell types embedded in both agarose and alginate formed spheroids in their growth medium. The spheroids successfully proliferated and self-organized into complex structures, developing a sustainable system that emulated the condition of the tissues through the accumulation of extracellular matrix. These models could be useful for a better understanding of pathophysiology, etiopathogenesis, and testing new methods or molecules from a preventive and therapeutic point of view.
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