5 research outputs found

    Impacto del enfoque bayesiano en la gesti贸n de la demanda de cadenas de abastecimiento para el consumo de productos din谩micos

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    Determina en qu茅 medida el enfoque bayesiano impacta en la gesti贸n de la demanda de una cadena de abastecimiento de productos din谩micos. La metodolog铆a utilizada fue del tipo cuasi experimental con pre y post prueba y un grupo de control. El tama帽o de la muestra fue de 93 productos, de una poblaci贸n de 120 productos que pertenec铆an a dos categor铆as: salsas cl谩sicas y salsas gourmet. El estudio presente logra medir el incremento en la gesti贸n de la demanda consiguiendo con el enfoque bayesiano una mejora de 10% en la exactitud del estimado. Asimismo, logra reducir el inventario de cobertura de 2 a 1.2 meses y la discrepancia entre los valores de la estimaci贸n bayesiana con el m茅todo tradicional se logr贸 alcanzar un 5% de error en la variaci贸n. La principal limitaci贸n del estudio fue su aplicaci贸n a un solo caso de empresa. Para lograr este resultado, se dise帽aron herramientas utilizando lenguaje de programaci贸n R y Python y librer铆as para el muestreo aleatorio de la distribuci贸n a priori de los productos para obtener valores posteriores

    Service Design Geographies, Proceedings of the ServDes2016 Conference

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    An Entrepreneurial Ecosystem framework for Nelson Mandela Bay

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    In recent years, the concept of entrepreneurial ecosystems increased in status amongst policy makers, scholars, practitioners, and mainstream media as a regional economic development strategy. Yet, despite the opportunities presented by the entrepreneurial ecosystem, it is both under-theorized and lacks data on a sub-national scale. Furthermore, research from an African and sub-Saharan African context remains in its infancy. The limited research within these resource-constrained countries creates a challenge to determine the underlying factors that influence entrepreneurship. As a result, developing economies, as in the case of sub-Saharan Africa, have applied generalizations of the entrepreneurial ecosystem, which undermine the temporal differences of places and reduce the potential to benefit from agglomeration economies. With the National Development Plan: Vision 2030, the South African government strives to achieve an inclusive economy through enhancing the capacity of the state, building capabilities, and promoting partnerships amongst sectors. Motivated by the mandate to redress the inequality caused by economic exclusion, the South African government has taken counteractive measures focused on promoting entrepreneurship as a key driver of economic growth. Despite the measures placed, South Africa struggles with high levels of inequality with a Gini coefficient of 0.63, unemployment of 32.6% and negative GDP per capita growth of - 8.137%. Furthermore, most small businesses in South Africa are informal, which means that a disproportionate concentration of employment exists in the informal sector. Against this backdrop, the problem addressed in this study is based on the challenge of creating productive entrepreneurship that acknowledges the unique structure and resources of Nelson Mandela Bay. To address this gap, a critical inquiry into entrepreneurial ecosystems was motivated. First, the inquiry is focused on a real-world context, namely Nelson Mandela Bay, which is one of the eight metropolitan regions in South Africa, a developing economy. Second, the inquiry uses multiple perspectives through multiple data collection methods. To commence the inquiry, a literature review was conducted on secondary sources to identify the factors influencing entrepreneurial ecosystems and formed the basis of the theoretical framework. The study followed the pragmatism research philosophy and used an abductive research approach. A mixed method research design was utilized and followed a sequential independent process, which was performed in two phases and independently analyzed.Thesis (DBA) -- Faculty of Business and Economic Sciences, 202

    An Entrepreneurial Ecosystem framework for Nelson Mandela Bay

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    In recent years, the concept of entrepreneurial ecosystems increased in status amongst policy makers, scholars, practitioners, and mainstream media as a regional economic development strategy. Yet, despite the opportunities presented by the entrepreneurial ecosystem, it is both under-theorized and lacks data on a sub-national scale. Furthermore, research from an African and sub-Saharan African context remains in its infancy. The limited research within these resource-constrained countries creates a challenge to determine the underlying factors that influence entrepreneurship. As a result, developing economies, as in the case of sub-Saharan Africa, have applied generalizations of the entrepreneurial ecosystem, which undermine the temporal differences of places and reduce the potential to benefit from agglomeration economies. With the National Development Plan: Vision 2030, the South African government strives to achieve an inclusive economy through enhancing the capacity of the state, building capabilities, and promoting partnerships amongst sectors. Motivated by the mandate to redress the inequality caused by economic exclusion, the South African government has taken counteractive measures focused on promoting entrepreneurship as a key driver of economic growth. Despite the measures placed, South Africa struggles with high levels of inequality with a Gini coefficient of 0.63, unemployment of 32.6% and negative GDP per capita growth of - 8.137%. Furthermore, most small businesses in South Africa are informal, which means that a disproportionate concentration of employment exists in the informal sector. Against this backdrop, the problem addressed in this study is based on the challenge of creating productive entrepreneurship that acknowledges the unique structure and resources of Nelson Mandela Bay. To address this gap, a critical inquiry into entrepreneurial ecosystems was motivated. First, the inquiry is focused on a real-world context, namely Nelson Mandela Bay, which is one of the eight metropolitan regions in South Africa, a developing economy. Second, the inquiry uses multiple perspectives through multiple data collection methods. To commence the inquiry, a literature review was conducted on secondary sources to identify the factors influencing entrepreneurial ecosystems and formed the basis of the theoretical framework. The study followed the pragmatism research philosophy and used an abductive research approach. A mixed method research design was utilized and followed a sequential independent process, which was performed in two phases and independently analyzed.Thesis (DBA) -- Faculty of Business and Economic Sciences, 202

    Solving complex problems through design

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