Ciencias Sociales
Permanent URI for this collectionhttps://hdl.handle.net/11285/582997
Pertenecen a esta colección Tesis y Trabajos de grado de los Doctorados correspondientes a las Escuelas de Gobierno y Transformación Pública, Humanidades y Educación, Arquitectura y Diseño, Negocios y EGADE Business School.
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- Florecimientos humanos a través del reconocimiento social: historias de vida de mujeres profesionistas del Tecnológico de Monterrey(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-10) Reyes Carballo, María Magdalena; García González, Dora Elvira; emipsanchez; Tolentino Tapia, Gabriel; Escuela de Humanidades y Educación; Campus Ciudad de México; Camargo Castillo, Javier AlejandroLa investigación doctoral plantea un problema que parte del nivel empírico en torno a la situación de las mujeres en la sociedad mexicana actual. Explora particularmente cómo se asienta el proceso del florecimiento humano, cómo se abre paso a lo largo de la vida – no solo en el ámbito laboral- de mujeres que tienen en común una formación universitaria y que laboran en el Tecnológico de Monterrey ejerciendo funciones docentes y no docentes. El dominio empírico dialoga con tres categorías teóricas: el florecimiento humano, el reconocimiento social y la opresión. Los florecimientos, vistos por mediación de las capacidades centrales de Martha Nussbaum, se ven facultados por el reconocimiento social en forma de cuidado, derecho y solidaridad; y también se ven negados en presencia del menosprecio y las variadas caras de la opresión en sus modalidades enunciadas por sus respectivos autores Axel Honneth e Iris Marion Young. La aproximación en realidad privilegia la dimensión empírica en la medida que se aventura a problematizar los límites de sus relaciones facultativas del florecimiento humano, los términos de sus relaciones de negación, así como su carácter individual o colectivo. La metodología de la investigación es cualitativa, basada en el método biográfico. Los resultados que se obtienen registran las relaciones entre los florecimientos humanos heterogéneos y las formas de reconocimiento social. Asimismo, las manifestaciones de las formas de menosprecio y opresión como relaciones de negación de los florecimientos humanos. Se concluye que existen florecimientos colectivos que subyacen al florecimiento en apariencia individual.
- European option pricing on day-ahead electricity prices: the mexican wholesale electricity market case(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-11-28) Ramírez García, Alfredo; Saucedo de la Fuente, Eduardo; emipsanchez; Núñez Mora, José Antonio; Amorós Espinosa, José; Contreras Valdez, Mario Iván; Escuela de Graduados en Administración y Dirección de Empresas; Campus Ciudad de MéxicoThe present research proposes a novel European option pricing model with the day-ahead electricity price as an underlying asset which could be implemented as the first day-ahead electricity price hedging financial instrument in the Wholesale Electricity Market (MEM). Therefore, this work represents an essential contribution to the MEM's development since, according to Roy and Basu (2020), MEM should be considered an emerging electricity market owing to its small number of participants, and hedging financial instruments, such as futures or options, cannot be acquired. Hence having an instrument of this kind would allow market participants to implement better risk management strategies to hedge day-ahead electricity price volatility to prevent financial losses. This work is divided into five chapters; each concerns a different component of the proposed model. In Chapter 1, the main characteristics of the MEM, as well as a review of the operating rules that are most closely related to the design of the proposed financial instrument, as well as a general context of the MEM and the growth initiatives proposed by the Mexican government, are described. In Chapter 2 an in-depth review of the probability theory necessary for a complete understanding of the proposed model, starting with basic probability concepts and moving on to the Normal Inverse Gaussian and Multivariate Normal Inverse Gaussian probability distributions, as well as the valuation of a European Option by Monte Carlo valuation is provided. In Chapter 3, two topics are addressed; first, a statistical analysis is performed to confirm that well-known LMP stylized facts, such as seasonality, volatility, and autocorrelation, are observable on MEM's day-ahead electricity prices. Second, Normal Inverse Gaussian (NIG) distribution capability to fit LMP logarithmic returns (Series Returns) is shown as follows: the Seasonal and Trend Decomposition Model (STL), NIG parameter estimation by Maximum Likelihood Estimation (MLE) of Series Returns, simulated NIG series generation from obtained parameters, and goodness-of-fit tests are performed to demonstrate NIG's distribution capabilities to fit and simulate electricity returns series. In Chapter 4, the European option pricing model employing Multivariate Normal Inverse Gaussian (MNIG) is proposed. In order to obtain the European option price for 28 days ahead on an hourly basis (672 hours ahead) by applying this model, each week hour is assumed to be a single independent asset, which produces 168 series for a single week. Four lagged log-prices for each hour are then obtained to be modeled employing MNIG distribution to perform Monte Carlo simulations and generate electricity lagged log-prices trajectories which then are employed to estimate the European option price for the 672 hours ahead by applying the European option pricing methodology. Results show that by applying this valuation model, electricity price correlation and seasonality are modeled by the employment of MNIG distribution, which simplifies modeling complexity and MNIG makes it possible to obtain a correct European option price valuation for each of the forecast values. Finally, the research conclusions are presented in Chapter 5.
- Assessing digital skills as a job resource: the moderating role of digital skills in the relationship between job stressors and psychological detachment(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-11-22) Paredes Aguirre, Milton Ismael; Hernández Pozas, Olivia del Roble; emipsanchez; Ayala Millán, Christian Yarid; Campoverde Aguirre, Ronald Enrique; EGADE Business School; Campus MonterreyDigitalization has reshaped work and education, making Digital Skills essential for success in technology-driven environments. Despite their importance, few studies have evaluated Digital Skills as potential job resources that can help manage job stressors and support Psychological Detachment. This doctoral thesis addresses this gap in the literature through four studies. The first study reviewed the interplay between Digital Skills and Well-being, suggesting that these skills may act as a resource that promotes well-being and mitigates stress. The second study evaluated the psychometric properties of the Spanish version of the Digital Self-Efficacy scale, grounded in the DigComp framework, to assess the Digital Skills in Spanish-speaking workers. The third and fourth studies applied the Stressor-Detachment Model to explore whether Digital Skills can reduce the effect of job stressors on Psychological Detachment in digital work environments. Study 3 focused on workers in Ecuador, while Study 4 extended the analysis to university educators using a scale designed for educational contexts. The results showed that Digital Skills help workers and educators manage stress and support mental detachment from work. Some unexpected findings, such as certain stressors being positively linked with Psychological Detachment, suggest that further research is needed to understand stress responses in digital workplaces.
