Raw and treated "nejayote" were assessed as foliar and edaphic fertilisers for native blue maize (Zea mays L.) crops in the municipality of Amozoc de Mota, Puebla, Mexico, during the 2015 agricultural cycle. Treated nejayote refers to raw nejayote subjected to a coagulation-flocculation process. Two states of nejayote were established (raw and treated nejayote) with different physicochemical properties. Foliar bio-fertilisers were prepared from raw and treated nejayote and mixed with organic matter (OM) to promote a fermentation process. The foliar treatments used were: BNC5, BNC15, BNC30 (raw nejayote-based bio-fertiliser at 5%, 15%, and 30%), BNCQ5, and NCQ30 (nejayote treated by chemical coagulation at 5% and 30%), with BT as a control (traditional bio-fertiliser). The edaphic treatments used were: NC50, NC75, and NC100 (raw nejayote at 50%, 75%, 100%), with AP as a control (drinking water), thus giving rise to 10 treatments in terms of content of raw or treated nejayote. Foliar and edaphic field treatments applied to native blue maize crops were statistically assessed using the following response variables: plant height, stem diameter, number of leaves, and grain yield. The experiment was laid out in a randomised complete block design (RCBD) with five replications of each treatment. The results obtained showed, that foliar or edaphic application at the different stages of development did not produce statistically significant differences, at P ≤ 0.05, in terms of response variables. The most significant effects occurred at the early stage of plant development and were mainly reflected in the stem diameter with foliar treatment NCQ30 and in the number of leaves with foliar treatment BNC5. At the final stage of crop development, the highest yield (0.639 ± 0.121 t•ha −1 ) was obtained with treatment BNC5, which produced a statistically significant difference (b) in relation to the rest of the foliar and edaphic treatments (Tukey P ≤ 0.05).

El objetivo de la investigación es identificar el impacto del capital social y la disponibilidad de mano de obra calificada en la competitividad de las empresas aeroespaciales que forman parte de clústeres en México. Se aplicó el método de regresión lineal multivariada de mínimos cuadrados ordinarios para el análisis de datos. Los resultados demuestran que el capital social y la disponibilidad de mano de obra calificada son variables que tienen impacto positivo y estadísticamente significativo en la competitividad de las empresas aeroespaciales establecidas en un cluster. Los resultados son relevantes ya que existen pocos estudios empíricos vinculando el captial social con la competitividad de empresas aeroespaciales. Por otro lado, el estudio corrobora la influencia de la disponibilidad de mano de obra calificada en la competitividad de las empresas que forman parte de dicha industria.

In today's business environment, all organizations are required to focus on their customers in order to fully understand their needs. There is a need to drive and engage strategic actions in order to close any potentials gaps between customer´s expectations and manufacture´s deliverables. Current customer satisfaction theory appears to be excluded from a holistic model that broadly covers the extent of customer satisfaction concept.This article empathizes the need of an integrated customer satisfaction model that the organization can use as a strategic platform to increase sales, business performance, branding, market share, and customer loyalty, based on specific methodology that translates customer needs into a reliable business plan. JEL Classification

Key Words. Electronic commerce, Smart-PLS, structural equations, technology acceptance, diffusion of innovations.Abstract. The following article analyzes the principal factors of electronic commerce that have been explored and studied primarily in developed markets such as the United States and that have been deemed as critical actors in the development and growth of electronic transactions. Specifically, variables and latent factors of this study derive from the models of Technology Acceptance (Davis, 1989) and Diffusion of Innovations (Rogers, 2003). Asummary of past empirical studies is provided deriving from the aforementioned theoretical models followed by results of an exploratory field study comprising of 39 valid observations randomly selected from within the Professional Employees Internet Users segment. The methodology used to determine the causal relationship between variables (Betas) was factor analysis (Principal Components) and structural equation modeling, specifically Smart-PLS.The study determined that perceived utility, security and compatibility variables were statistically relevant and significant in determining purchase online intent or the development of electronic commerce in the Professional Employees Internet Users Segment.Palabras Clave. Aceptación de la tecnología, comercio electrónico, difusión de lasinnovaciones, ecuaciones estructurales, Smart-PLS.Resumen. Este artículo analiza los factores del comercio electrónico que han sidoexplorados y estudiados principalmente en mercados desarrollados (EUA) y que han sido confirmados como críticos en el desarrollo y crecimiento de las transacciones electrónicas. En forma específica, los factores o variables latentes en estudio tienen el sustento y la justificación teórica de los modelos de Aceptación de la Tecnología (Davis, 1989) y la Difusión de las Innovaciones (Rogers, 2003). Se presenta un resumen de los antecedentes

El presente trabajo de investigación tiene como objetivo ayudar a evaluar la conveniencia del uso del método metaheurístico de algoritmos genéticos para la resolución de problemas de asignación de recursos académicos (docentes, aulas, horas de clase y asignaturas) en instituciones de educación superior. Esto se hace mediante el estudio del impacto de las características de tamaño del curso, disponibilidad de los docentes y la afinidad de docentes con materias en la resolución mediante algoritmos genéticos, comparando el tiempo requerido en encontrar una buena solución de asignación de los recursos y el óptimo alcanzado. El propósito de conocer los efectos estudiados en la aplicación del método de algoritmos genéticos fue logrado. Se encontraron indicios del impacto que la variación en cada uno de los parámetros tiene en el tiempo necesario para alcanzar una solución, lo cual ayudará a evaluar la conveniencia del uso de estas opciones de solución.