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Author: search.filters.author.López Dueñas, AraceliSubject: search.filters.subject.Empresariales - Tesis

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    Item type:Publication,
    Resilience of the retail food supply chain and adaptability of customer delivery amid disruptions due to health contingency.
    (2024)
    López Dueñas, Araceli
    ;
    Ramírez Nafarrete, Adrián
    ;
    Núñez Rios, Juan Enrique
    This thesis has been developed with a central focus on the food retail industry. Three main chapters are presented, each corresponding to research in the field of business sciences. These articles have been individually published in different journals. In light of some structural changes in companies during COVID-19, the starting point for the first chapter is the analysis of home delivery systems to reach end customers. The results showed how advancements in home delivery systems can be made by focusing on two fundamental factors: technology and personnel management. The second chapter presents a qualitative investigation using structured interviews focused on five entrepreneurs in Puerto Vallarta who operated home delivery systems during COVID-19 in 2020 from April to June. Findings show that one’s own systems and those through technological platforms generate positive externalities and, instead of being exclusive, can be complementary. The third chapter addresses how organizational factors and supply chain configuration can help medium-sized companies to be resilient in turbulent operating environments. This chapter aims to analyze the resilience of the company's supply chain under study and, through the application of system dynamics methodology, explain how organizational variables should be related to increasing organizational adaptation capacity. This final chapter is a case study of a company composed of several butcher shops in Puerto Vallarta, Mexico, with an analysis of weekly sales information over a five-year period corresponding to 2018-2022. This doctoral thesis is framed within applied business sciences, where various disciplines converge to address business management in dynamic and complex environments. Building upon the foundations laid by Michael Porter in his conceptualization of the value chain (1985) and Dixon's contributions (1994) to understand improvement trajectories when developing and utilizing home delivery systems in response to the pandemic, this study delves into the intersection between theory and business practice. An essential component of this research is using time series analysis techniques through descriptive statistics, which facilitate a detailed visualization of sequential information in the presented case study. Subsequently, with the application of system dynamics models based on the Jay Forrester's contributions (1990), a model is developed to demonstrate resilience capacity to face the unexpected event of COVID-19. The importance of multi-criteria decision-making supported by Bayesian optimization models is highlighted. This serves as a starting point for the model presented in identifying effective strategies in business management. This study addresses the inherent complexity of business management in a changing context, adopting an interdisciplinary approach that merges consolidated theories with advanced methodologies of analysis and modeling. It provides a comprehensive framework that offers models to organizations to enhance their responsiveness to unexpected events and changing markets, in line with the principles of engaged management scholarship.
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    Item type:Publication,
    Resilience of the retail food supply chain and adaptability of customer delivery amid disruptions due to health contingency.
    (2024)
    López Dueñas, Araceli
    ;
    Ramírez Nafarrete, Adrían
    ;
    Núñez Rios, Juan Enrique
    This thesis has been developed with a central focus on the food retail industry. Three main chapters are presented, each corresponding to research in the field of business sciences. These articles have been individually published in different journals. In light of some structural changes in companies during COVID-19, the starting point for the first chapter is the analysis of home delivery systems to reach end customers. The results showed how advancements in home delivery systems can be made by focusing on two fundamental factors: technology and personnel management. The second chapter presents a qualitative investigation using structured interviews focused on five entrepreneurs in Puerto Vallarta who operated home delivery systems during COVID-19 in 2020 from April to June. Findings show that one’s own systems and those through technological platforms generate positive externalities and, instead of being exclusive, can be complementary. The third chapter addresses how organizational factors and supply chain configuration can help medium-sized companies to be resilient in turbulent operating environments. This chapter aims to analyze the resilience of the company's supply chain under study and, through the application of system dynamics methodology, explain how organizational variables should be related to increasing organizational adaptation capacity. This final chapter is a case study of a company composed of several butcher shops in Puerto Vallarta, Mexico, with an analysis of weekly sales information over a five-year period corresponding to 2018-2022. This doctoral thesis is framed within applied business sciences, where various disciplines converge to address business management in dynamic and complex environments. Building upon the foundations laid by Michael Porter in his conceptualization of the value chain (1985) and Dixon's contributions (1994) to understand improvement trajectories when developing and utilizing home delivery systems in response to the pandemic, this study delves into the intersection between theory and business practice. An essential component of this research is using time series analysis techniques through descriptive statistics, which facilitate a detailed visualization of sequential information in the presented case study. Subsequently, with the application of system dynamics models based on the Jay Forrester's contributions (1990), a model is developed to demonstrate resilience capacity to face the unexpected event of COVID-19. The importance of multi-criteria decision-making supported by Bayesian optimization models is highlighted. This serves as a starting point for the model presented in identifying effective strategies in business management. This study addresses the inherent complexity of business management in a changing context, adopting an interdisciplinary approach that merges consolidated theories with advanced methodologies of analysis and modeling. It provides a comprehensive framework that offers models to organizations to enhance their responsiveness to unexpected events and changing markets, in line with the principles of engaged management scholarship.