Browsing by Autor "Martin Flégl"

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Análisis de rendimiento de las refinerías de Pemex, 2000-2019
(2021) Martin Flégl; Sebastián Campos Díaz; Isaac Leobardo Sánchez Juárez; Tecnológico de Monterrey.; Isaac Sánchez-Juárez; Universidad Autónoma de Ciudad de Juárez.
Este artículo tuvo como objetivo calcular el rendimiento del sistema nacional de refinación en México para el periodo 2000-2019. Para tal fin se utilizó información mensual proveniente de Pemex, con la cual se construyó un modelo de insumos y productos que se estimó mediante el método Data Envelopment Analysis. Lo que se encontró fue que el promedio total de rendimiento fue 82.31%; 80.16% en Cadereyta; 70.11% en Madero; 91.50% en Minatitlán; 75.34% en Salamanca; 88.95% en Salina Cruz y 88.19% en Tula. En promedio los resultados confirman una operación deficiente de la industria de refinación mexicana y contribuyen para que los tomadores de decisiones gubernamentales modifiquen este escenario de cara a la construcción anunciada de una nueva refinería en los próximos años.
ANALYSIS OF PROFESSORS’ EVALUATION AT LA SALLE UNIVERSITY MÉXICO FROM 2010 TO 2016: WHAT THE RESULTS INDICATE?
(Czech University of Life Sciences Prague, 2017) Martin Flégl; María Bertha Fortoul Ollivier; V Svec; Jennie Brand Barajas; Christian Vizuet
La Salle University México (La Salle) uses an internal system of professors’ evaluation, which main purpose is to evaluate professors’ performance and secure high quality of teaching at all of its faculties. Since its inception in 2010, La Salle has obtained 517,635 individual evaluations of 45,346 courses. However, no additional analysis of the obtained results has ever been done. This article provides introductory analysis of the accumulated results at faculty level. The main objective is to analyze whether there are differences between faculties regarding the evaluation. Although the results are highly skewed towards the maximal evaluation at all faculties, there are statistically significant differences. The next important task is to investigate what factors influence the evaluation. Moreover, as this is the introductory analysis, the article concludes with possible future steps that should be consider regarding eventual structural changes in the evaluation system.
Analysis of professors' evaluation in Actuarial Sciences program at La Salle University
(2019) Gabriela Vergara Abascal Sherwell; Diana Gallegos; F. Agustín Jiménez; Martin Flégl
Professors’ performance measured through students’ evaluation in higher education has recently become very relevant. At La Salle University in Mexico City each semester students provide feedback through online questionnaires in three areas: Institutional, Educative and Pedagogic. In this article we analyzed the professors’ evaluation of Actuarial Sciences study program at the Business School for the August-December 2016 semester. Using Analytical Hierarchy Process and Technique of Order Preference Similarity to the Ideal Solution, we observed that elder male professors are generally better evaluated than younger professors or female professors.
Comparison of coffee production in Mexico against the 30 best producing countries
(2019) Andrea Jiménez Monterrubio; Regina Ramirez Sainz; Juan Manuel Zaragoza Ziranda; Martin Flégl
Coffee is considered as a global exporting and importing goods. In total, there are approximately 80 countries producing coffee, where Brazil, as the biggest coffee producer, produces around 6,000 million pounds of coffee every year. In this article, we analyze productivity of the 30 biggest coffee producers based on Data Envelopment Analysis. The results show that Brazil, Vietnam and Colombia are the only 100% efficient countries. The average efficiency of all countries is 22.631% with SD 30.115%. Mexico belongs among the inefficient countries, as its efficiency is 14.907%. With a post-projection analysis, Mexico should increase its production (measured by pounds per year) by 6.69 times or increase the production potential from each hectare.
¿En realidad es problema de la COVID-19 el desajuste de la curva de Phillips? Un análisis económico sobre las expectativas de ofertores y consumidores para 2021 en México
(2022) Luis Antonio Andrade Rosas; Martin Flégl
El ámbito económico representado en su mayoría por las empresas es el que más sufrió los estragos derivados de la pandemia COVID-19. En este trabajo, a partir del Índice de precios al consumidor (IPC) del 2010 a marzo 2021, se hace un pronóstico incorporando la estacionariedad por mes, con el objetivo de comparar los pronósticos del IPC durante la pandemia respecto a los valores reales en la pandemia. El análisis muestra que las empresas no incorporaron los efectos de la pandemia dentro de sus pronósticos, lo que ocasionó alteraciones en sus finanzas. Quizá los consumidores podrían haber ganado por este cambio de precios, pero las condiciones de desempleo lo impidieron. De acuerdo a esta sospecha, el análisis involucra la relación entre desempleo e inflación vía la curva de Phillips, y a partir de un análisis econométrico se encuentra un umbral de la tasa de desempleo, en donde se modifica la forma funcional de la curva de Phillips. Adicional al análisis, se destaca el valor del umbral, que corresponde a la tasa de desempleo de 4.4 % del primer trimestre del 2021.
Is popularity of training programs reflected in performance improvements? A case of Mexican public financial institution
(2019) Mayra Alcázar; Martin Flégl
Nowadays, talent management is crucial for organizations to remain competitive and successful. Organizations must pay higher attention to a training of their employees to attract highly skilled talents. However, due to high costs of training programs, organizations need to control and demonstrate their added value. In this case, it is very important to understand employees’ characteristics to create adequate training program systems. In this article, we analyze employees’ preferences over training programs in a Mexican public financial institution. Further, we seek to discover whether training program popularity is reflected in improvements of employees’ competences. The results indicate that female training policies should be linked more to soft skills training, whereas training policies for males should be linked more to hard skills. Results also indicate that there is no relationship between training course preferences and employees’ performance and the effect is near to zero or negative.