Application of neural networks in predicting the level of integration in supply chains

Purpose: This investigation is based on the theoretical analysis of the application of neural networks to the design and manage supply chains, along with an empirical approach, this investigation its developed with the prediction of the level of integration in the supply chain through neural networks. Design/methodology/approach: The methodology designed and used for the processing of data was the instruction of a neural network which is used to predict the level of integration in a supply chain. This type of predictive application appears in the literature reviewed on supply chains. This analysis was carried out in a comparative way with the heterogeneous and homogeneous weights of the neuron training. Findings: The main results of this research focus on predicting the level of integration in the supply chain from the neuronal network. This provides a coached neuron that can be applied in other studies and, therefore, predict the outcome. On the other hand, it is shown that if the weights of the integration level variables are not homogeneous, the procedure presents different results depending on the context in which it is developed. Research limitations/implications: Among the limitations of the implementation of neural networks it should be noted, the necessary adaptation to the characteristics of the supply chains and the areas of performance of the business organizations under study, in the framework of activities productive or service itself, in addition to analyzing its corporate purpose in relation to the satisfaction of certain needs of the target markets. Originality/value: The literature shows multiple theoretical sources that refer to studies of neural networks in supply chains, observing the opportunity to apply this technique to predict the level of integration due to its benefits for decision making. The originality of this scientific work lies in the possibility of comparing the historical data of the level of integration and those predicted as a result of the coaching of the neuron with the weights of the heterogeneous and homogeneous variables.Peer Reviewe

La Innovación como Herramienta de Gestión Comercial en las Pymes de Santo Domingo de los Tsáchilas

The current disruptive scenario in the Ecuadorian economy encourages SMEs to generate innovations in their management models that allow them to obtain competitive advantages. Through this study, it is intended to know, based on a systemic analysis, the degree of adoption of innovation and ICT tools in SMEs in the city of Santo Domingo (Ecuador). For the development of the study, the mixed, qualitative and quantitative methodological approach was used. Through the application of surveys and documentary review, it is possible to assess how entrepreneurs in this city use ICT. The results of the study show little use of existing technology for the development of innovative management strategies, a consequence of the low level of business culture and the risk aversion of entrepreneurs, a result already reported in previous studies.El actual escenario disruptivo en la economía ecuatoriana incentiva a las pymes a generar innovaciones en sus modelos de gestión que les permitan obtener ventajas competitivas. Por medio de este estudio se pretende conocer, a partir de un análisis sistémico, el grado de adopción de la innovación y de las herramientas de las TIC en las pymes de la ciudad de Santo Domingo (Ecuador). Para el desarrollo del estudio se utilizó el enfoque metodológico mixto, cualitativo y cuantitativo. Mediante la aplicación de encuestas y de la revisión documental se puede valorar cómo los empresarios de esta ciudad utilizan de las TIC. Los resultados del estudio muestran un escaso uso de la tecnología existente para el desarrollo de estrategias gerenciales innovadoras, consecuencia del bajo nivel de cultura empresarial y de la aversión al riesgo de los empresarios, resultado ya reportado en estudios precedentes

Retos y estrategias para el desarrollo del turismo de negocios en ciudades ecuatorianas

Los segmentos de mercado de naturaleza y de sol y playa, han sido el eje de la actividad turística ecuatoriana, ignorándose que el turismo de negocios es el que más crece internacionalmente en la actualidad, lo cual constituye un problema a investigar. El estudio MICE Travel Report 2018, mostró que los viajes MICE a Latinoamérica vienen creciendo notablemente, incluyendo a países sin tradición, como es el caso de Ecuador. Se tuvo en cuenta un procedimiento basado en un modelo para desarrollar un clúster turístico para la ciudad ecuatoriana de Santo Domingo Tsáchilas y los resultados de la aplicación del Método del Open Space, para lo cual se propició un taller sobre las implicaciones del turismo de negocios. El presente estudio tuvo como objetivo evaluar la relevancia del turismo de negocios en la ciudad de Santo Domingo de los Tsáchilas. Se evidenció que en dicha ciudad existe una deficiente planeación, gestión, coordinación y articulación entre las políticas públicas y privadas en materia turística. Se concluye que la ciudad de Santo Domingo cuenta con el potencial necesario para desarrollar el destino de turismo de negocios, pero para ello debe lograr la cohesión entre los sectores público y privado

Application of neural networks in predicting the level of integration in supply chains

Purpose: This investigation is based on the theoretical analysis of the application of neural networks to the design and manage supply chains, along with an empirical approach, this investigation its developed with the prediction of the level of integration in the supply chain through neural networks. Design/methodology/approach: The methodology designed and used for the processing of data was the instruction of a neural network which is used to predict the level of integration in a supply chain. This type of predictive application appears in the literature reviewed on supply chains. This analysis was carried out in a comparative way with the heterogeneous and homogeneous weights of the neuron training. Findings: The main results of this research focus on predicting the level of integration in the supply chain from the neuronal network. This provides a coached neuron that can be applied in other studies and, therefore, predict the outcome. On the other hand, it is shown that if the weights of the integration level variables are not homogeneous, the procedure presents different results depending on the context in which it is developed. Research limitations/implications: Among the limitations of the implementation of neural networks it should be noted, the necessary adaptation to the characteristics of the supply chains and the areas of performance of the business organizations under study, in the framework of activities productive or service itself, in addition to analyzing its corporate purpose in relation to the satisfaction of certain needs of the target markets. Originality/value: The literature shows multiple theoretical sources that refer to studies of neural networks in supply chains, observing the opportunity to apply this technique to predict the level of integration due to its benefits for decision making. The originality of this scientific work lies in the possibility of comparing the historical data of the level of integration and those predicted as a result of the coaching of the neuron with the weights of the heterogeneous and homogeneous variables.Peer Reviewe