Características de liderazgo de los gerentes de la generación “baby boomers” y propuesta de plan de mejora de toma de decisiones estratégicas y eficacia, caso de estudio Global Engineering S.A.

El presente documento analiza las características de liderazgo de los gerentes “baby boomers” de la empresa transnacional Global Engineering S.A., que tiene oficinas en España, Cuba, Venezuela y Ecuador. Esta investigación se realiza sobre la premisa que los Gerentes de las cuatro oficinas pertenecen a la generación de los baby boomers, por lo se presenta la hipótesis de que, al pertenecer a una misma generación las características de liderazgo son similares. Los objetivos de la presente investigación, fueron el identificar las características de liderazgo de los gerentes, analizarlas, verificar si son eficaces, identificar las oportunidades de mejora y presentar un plan de mejora para la organización. Al presente estudio se lo define como exploratorio, descriptivo y correlacional, se utiliza como herramienta principal para la investigación el MLQ 5X versión corta creado por Bass y Avolio y adaptado por Vega y Zabala, se lo aplica a las cuatro oficinas de la empresa tanto a los gerentes como a los seguidores. Para la comprobación de la hipótesis, se utilizó la prueba t de Student, para establecer valores máximos y mínimos de los promedios de las características de liderazgo, para de esa manera conocer si los Gerentes de cada oficina tienen las mismas características, también se promediaron los valores resultantes de cada estilo de liderazgo para conocer si son eficaces para la realidad de la organización. Como herramienta para la mejora de toma de decisiones estratégica, se presenta el Cuadro de Mando integral, se establecen los objetivos principales para las perspectivas y se señalan los pasos de cómo debe ser el proceso de implementación del plan de coaching gerencial para la organización. De la investigación realizada se concluye que las características de liderazgo de los gerentes de la organización no se relacionan directamente con la generación a la que pertenecen, sino, dependen más del entorno, la situación y de los seguidores. Se recomienda la implementación del Cuadro de Mando Integral para mejorar la toma de decisiones estratégicas, haciendo énfasis en la propuesta de valor de implementar un plan de coaching gerencial para los gerentes de las distintas oficinas para así mejorar la eficacia de la organización.

Predation in Ground-Nesting Birds: an Experimental Study Using Natural Egg-Color Variation

We tested the hypothesis that cryptically colored eggs would suffer less predation than conspicuous eggs in the ground-nesting red-legged partridge, Alectoris rufa. We used A. rufa as a model species because it has a wide range of natural egg colors, the eggs are widely available from breeding farms, and nests are easily mimicked because they are scrapes containing no vegetation. The study was conducted in the spring of 2001 in forest and fallow fields of central Spain in Castilla La Mancha, Ciudad Real. We used 384 clutches of natural eggs that were white, white spotted, brown, or brown spotted. Within clutches, eggs were consistent in color and size; among clutches, color differences were distributed across habitats. Clutches were checked once after 2 wk of exposure. Cryptic coloration had a survival advantage that was dependent on the local suite of predators. Rodent predation was nonselective with respect to clutch color; however, avian predation was significantly higher for conspicuous clutches. In addition, there was an interaction of landscape and egg color for avian predation. In forest landscapes, the clutches with highest survival were brown spotted, whereas in fallow landscapes, brown and brown spotted clutches had higher survival than white and white potted clutches. Thus, both the predator suite and the landscape had significant effects on the value of cryptic egg coloration. Our study is relevant for conservationists and managers in charge of restocking programs in hunting areas. The release of other partridge species or their hybrids could result in hybridization with wild partridges, potentially leading to nonoptimal clutch pigmentation and reduced survival of the native species. We therefore recommend that local authorities, managers, and conservationists be cautious with the use of alien species and hybrids and release only autochthonous species of partridges within their natural ranges.

Mapping the spatial distribution of geomorphological processes in the Okstindan area of northern Norway, using Geomorphic Process Units as derived from remote sensing and ground survey

The delineation of Geomorphic Process Units (GPUs) aims to quantify past, current and future geomorphological processes and the sediment flux associated with them. Five GPUs have been identified for the Okstindan area of northern Norway and these were derived from the combination of Landsat satellite imagery (TM and ETM+) with stereo aerial photographs (used to construct a Digital Elevation Model) and ground survey. The Okstindan study area is sub-arctic and mountainous and is dominated by glacial and periglacial processes. The GPUs exclude the glacial system (some 37% of the study area) and hence they are focussed upon periglacial and colluvial processes. The identified GPUs are: 1. solifluction and rill erosion; 2. talus creep, slope wash and rill erosion; 3. accumulation of debris by rock and boulder fall; 4. rockwalls; and 5. stable ground with dissolved transport. The GPUs have been applied to a ‘test site’ within the study area in order to illustrate their potential for mapping the spatial distribution of geomorphological processes. The test site within the study area is a catchment which is representative of the range of geomorphological processes identified.

DTM generation from LIDAR data using skewness balancing

LIght Detection And Ranging (LIDAR) data for terrain and land surveying has contributed to many environmental, engineering and civil applications. However, the analysis of Digital Surface Models (DSMs) from complex LIDAR data is still challenging. Commonly, the first task to investigate LIDAR data point clouds is to separate ground and object points as a preparatory step for further object classification. In this paper, the authors present a novel unsupervised segmentation algorithm-skewness balancing to separate object and ground points efficiently from high resolution LIDAR point clouds by exploiting statistical moments. The results presented in this paper have shown its robustness and its potential for commercial applications.