Liderazgo transformacional y cambio organizacional en una empresa de transporte privado en Cartagena de Indias

El presente trabajo de grado se define desde el punto de vista metodol6gico como una aproximaci6n significativa al modelo organizacional transformacional y transaccional de la empresa, mediante un proceso de implementaci6n concreta en un estudio de caso de la empresa colombiana HB & CIA. LTDA, con miras al mejoramiento cualitativo y cuantitativo ideal de la misma. Desde esta perspectiva, el proyecto se divide en tres grandes ejes: la formulaci6n y delimitaci6n del problema, en donde se presenta un analisis detallado de todos los problemas relacionados con el cambio organizaci6n y con la necesidad de un trabajo de liderazgo, como una via para la soluci6n de los mismos. El segundo eje, presenta el desarrollo del estudio de caso, partiendo del diagn6stico de la empresa, con el fin de que se identificaran las debilidades, oportunidades, amenazas y fortalezas. El estudio de caso se circunscribe al marco te6rico en terminos del deber ser y hacer de la organizaci6n, de la visi6n y la misi6n que debe orientar la organizaci6n y del liderazgo transformacional como un medio para solucionar problemas de gesti6n y optimizaci6n de los recursos dentro de una organizaci6n.

Alinhamento das práticas de responsabilidade social com a estratégia das instituições de ensino superior: um referencial de governação socialmente responsável gerador de confiança e reputação organizacional

A responsabilidade social é considerada fundamental para a conquista de vantagens competitivas organizacionais. A integração dos seus princípios na estratégia da organização, apresenta-se como uma linha orientadora do foco na satisfação de necessidades das partes interessadas internas e externas. As actuais limitações orçamentais têm afectado significativamente as Instituições de Ensino Superior, nomeadamente as localizadas no interior de Portugal continental, o que dificulta ainda mais a crescente diminuição de estudantes sendo necessário a implementação de estratégias de captação de estudantes nos vários ciclos, fases de idade e locais de proveniência. O sistema de gestão da responsabilidade social, referenciado na NP 4469.1:2008, apresenta um grande desafio ao modelo de gestão das organizações que o implementam, já que este sistema de gestão tem o potencial de optimizar os interesses das diversas partes interessadas. O foco da instituição passa a ser os das suas partes interessadas, maximizando os seus impactes positivos e minimizando os seus impactes negativos em resultado das suas actividades e decisões. O aumento da eficácia organizacional e a equidade dos interesses das partes interessadas, podem clarificar as funções estratégicas das Instituições de Ensino Superior. Os programas e práticas de responsabilidade social implementados nas Instituições de Ensino Superior do interior de Portugal continental são assim estrategicamente vistos, como um factor de diferenciação positiva face às suas congéneres e em consequência, assumido como um factor para a sua sustentabilidade. A presente investigação procura identificar um modelo de governação socialmente responsável que se comprometa com a dinamização de uma estratégia que preveja práticas de responsabilidade social condutoras a aumentos na confiança e reputação organizacionais nos estudantes e colaboradores das Instituições de Ensino Superior. Tendo por base a abordagem de investigação qualitativa, realizaram-se estudos de caso em duas Instituições de Ensino Superior localizadas no Alentejo, recorrendo-se a várias fontes de informação: entrevistas a 45 entrevistados, entre elementos da governação, colaboradores e estudantes, análise documental e observação participante. Como técnica de tratamento dos dados utilizou-se a análise de conteúdo através do software Atlas Ti. Os resultados da investigação empírica permitem identificar que, as duas Instituições de Ensino Superior melhoraram em termos de visibilidade externa e interna, havendo entrevistados que referem uma melhoria na confiança e reputação em resultado da adesão a práticas de responsabilidade social. O líder de uma das Instituições de Ensino Superior é reconhecido pelos seus pares como de elevado compromisso para com os princípios da responsabilidade social enquanto que o outro líder não é reconhecido da mesma forma. Os estudantes entrevistados, não reconhecem vantagens em resultado das práticas de responsabilidade social tanto ao nível da confiança como reputação organizacional; ABSTRACT: Social responsibility is considered essential to the achievement of organizational competitive advantage. The integration of its principles in the organization's strategy, presents itself as a guiding line focus on meeting the needs of internal and external stakeholders. The current budgetary constraints have significantly affected the higher education institutions, further hindering the increasing decline of students being required to implement student recruitment strategies in the various cycles of age stages and places of origin. The management system of social responsibility, referenced in NP 4469.1:2008, presents a major challenge to the model of management of organizations implementing it, since this management system, has the potential to optimize the interests of the various stakeholders. The focus of the institution happens to be out of their stakeholders, maximizing its positive impacts and minimizing the negative impacts as a result of its activities and decisions. Increased organizational effectiveness and equity interests of stakeholders can clarify the strategic functions of the higher education institutions. Social responsibility programs and Social responsibility practices implemented in higher education institutions in the interior of mainland Portugal are so strategically seen as a positive differentiating factor compared to their counterparts and therefore assumed to be a factor in their sustainability. This research seeks to identify socially responsible governance model that is committed to the promotion of a strategy which envisages conducting social responsibility practices to increases in organizational trust and reputation among students and employees of higher education institutions. Based on the qualitative research approach, there were case studies in two higher education institutions located in the Alentejo, making use of several sources of information: interviews with 45 respondents, between elements of governance, employees and students, document analysis and participant observation. As data processing technique was used content analysis by instrumental Atlas Ti. The results of empirical research identifying that the two higher education institutions have improved in terms of internal and external visibility, with respondents who report an improvement in confidence and reputation as a result of adherence to Social responsibility practices. The leader of one of the higher education institutions are recognized by their peers as high commitment to the principles of social responsibility while the other leader is not recognized in the same way. Students do not recognize advantages as a result of social responsibility practices both in terms of trust and organizational reputation.

Relatório no âmbito da unidade curricular "Prática de Ensino Supervisionada"

Este relatório, enquadrado na unidade curricular “Prática de Ensino Supervisionada” do Mestrado em Ensino de Português no 3.º ciclo do ensino básico e ensino secundário e de Espanhol nos ensinos básico e secundário, estrutura-se em torno de duas dimensões: uma dimensão teórica, respeitante aos documentos normativos e orientadores que norteiam a atividade docente e, mais especificamente, o processo de ensino-aprendizagem das disciplinas de Espanhol e de Português; uma dimensão prática que diz respeito à análise da prática de ensino desenvolvida na Escola E.B. 2, 3 André de Resende, no ano letivo de 2012/ 2013, no âmbito da planificação, condução de aulas, bem como da avaliação de aprendizagens. O principal objetivo deste relatório é relacionar criticamente essas duas dimensões no contexto da prática docente, na qual se englobam igualmente a participação nas estruturas da escola e o desenvolvimento profissional. ABSTRACT: This report, included in the course “Supervised Teaching Practice” of the Master Degree in Portuguese and Spanish Teaching in the middle and upper schools is organized according to two aspects: a theoretical aspect, concerning the normative and guiding documents that regulate the teaching activity and, more specifically, the teaching-learning process of Spanish and Portuguese courses; a practical aspect regarding the analysis of teaching practice developed in the School EB 2, 3 André Resende, in the school year 2012/2013, within lesson planning and organization and the learning assessment as well. The main goal of this report is to critically relate these two aspects in the teaching practice context which also includes the participation in school structures and professional development.

Automatic detection of the inferior alveolar nerve in CT scans with CenterNet

The inferior alveolar nerve (IAN) lies within the mandibular canal, named inferior alveolar canal in literature. The detection of this nerve is important during maxillofacial surgeries or for creating dental implants. The poor quality of cone-beam computed tomography (CBCT) and computed tomography (CT) scans and/or bone gaps within the mandible increase the difficulty of this task, posing a challenge to human experts who are going to manually detect it and resulting in a time-consuming task.Therefore this thesis investigates two methods to automatically detect the IAN: a non-data driven technique and a deep-learning method. The latter tracks the IAN position at each frame leveraging detections obtained with the deep neural network CenterNet, fined-tuned for our task, and temporal and spatial information.

Combining Productivity and Renewal in a Production Organization: a Case Study on Organizational Ambidexterity

This case study examined how productivity and renewal are combined in a production organization operating in process industry through the antecedents of organizational ambidexterity; structure, culture, and management. The empirical material consisted of semi-structured interviews, observations and case organization documents. The findings suggest that the case organization structurally separates exploitation and exploration to separate units. However, it was found that the units focusing on exploration also devote resources to exploitation. External networks, such as customers, suppliers, and other factories seemed to play a role in the exploration activities, as well as in learning activities, which were connected to renewal. Productivity was seen as a natural part of a production organization and pursued at manufacturing units. Process management techniques appeared to be spread across the organization and having positive impact on exploitation and negative impact on exploration. The managerial culture and management’s capability to communicate goals, vision and strategy was found to be unsatisfactory. This thesis contributes to the new research paradigm of organizational ambidexterity by providing unique results on how the antecedents of organizational ambidexterity are accomplished in a production organization. Furthermore, the thesis extends the previous research of organizational renewal capability by connecting it to the ambidexterity theory.

MACHINE VISION FOR AUTOMATICVISUAL INSPECTION OF WOODENRAILWAY SLEEPERS USING UNSUPERVISED NEURAL NETWORKS

The motivation for this thesis work is the need for improving reliability of equipment and quality of service to railway passengers as well as a requirement for cost-effective and efficient condition maintenance management for rail transportation. This thesis work develops a fusion of various machine vision analysis methods to achieve high performance in automation of wooden rail track inspection.The condition monitoring in rail transport is done manually by a human operator where people rely on inference systems and assumptions to develop conclusions. The use of conditional monitoring allows maintenance to be scheduled, or other actions to be taken to avoid the consequences of failure, before the failure occurs. Manual or automated condition monitoring of materials in fields of public transportation like railway, aerial navigation, traffic safety, etc, where safety is of prior importance needs non-destructive testing (NDT).In general, wooden railway sleeper inspection is done manually by a human operator, by moving along the rail sleeper and gathering information by visual and sound analysis for examining the presence of cracks. Human inspectors working on lines visually inspect wooden rails to judge the quality of rail sleeper. In this project work the machine vision system is developed based on the manual visual analysis system, which uses digital cameras and image processing software to perform similar manual inspections. As the manual inspection requires much effort and is expected to be error prone sometimes and also appears difficult to discriminate even for a human operator by the frequent changes in inspected material. The machine vision system developed classifies the condition of material by examining individual pixels of images, processing them and attempting to develop conclusions with the assistance of knowledge bases and features.A pattern recognition approach is developed based on the methodological knowledge from manual procedure. The pattern recognition approach for this thesis work was developed and achieved by a non destructive testing method to identify the flaws in manually done condition monitoring of sleepers.In this method, a test vehicle is designed to capture sleeper images similar to visual inspection by human operator and the raw data for pattern recognition approach is provided from the captured images of the wooden sleepers. The data from the NDT method were further processed and appropriate features were extracted.The collection of data by the NDT method is to achieve high accuracy in reliable classification results. A key idea is to use the non supervised classifier based on the features extracted from the method to discriminate the condition of wooden sleepers in to either good or bad. Self organising map is used as classifier for the wooden sleeper classification.In order to achieve greater integration, the data collected by the machine vision system was made to interface with one another by a strategy called fusion. Data fusion was looked in at two different levels namely sensor-level fusion, feature- level fusion. As the goal was to reduce the accuracy of the human error on the rail sleeper classification as good or bad the results obtained by the feature-level fusion compared to that of the results of actual classification were satisfactory.

Does absorptive capacity affect project performance? A study based on project management practices, organization learning, and knowledge

The literature has emphasized that absorptive capacity (AC) leads to performance, but in projects its influences still unclear. Additionally, the project success is not well understood by the literature, and AC can be an important mechanism to explain it. Therefore, the purpose of this study is to investigate the effect of absorptive capacity on project performance in the construction industry of São Paulo State. We study this influence through potential and realized absorptive capacity proposed by Zahra and George (2002). For achieving this goal, we use a combination of qualitative and quantitative research. The qualitative research is based on 15 interviews with project managers in different sectors to understand the main constructs and support the next quantitative phase. The content analysis was the technique used to analyze those interviews. In quantitative phase through a survey questionnaire, we collected 157 responses in the construction sector with project managers. The confirmatory factor analysis and hierarchical linear regression were the techniques used to assess the data. Our findings suggest that the realized absorptive capacity has a positive influence on performance, but potential absorptive capacity and the interactions effect have no influence on performance. Moreover, the planning and monitoring have a positive impact on budget and schedule, and customer satisfaction while risk coping capacity has a positive impact on business success. In academics terms, this research enables a better understanding of the importance of absorptive capacity in the construction industry and it confirms that knowledge application in processes and routines enhances performance. For management, the absorptive capacity enables the improvements of internal capabilities reflected in the increased project management efficiency. Indeed, when a company manages project practices efficiently it enhances business and project performance; however, it needs initially to improve its internal abilities to enrich processes and routines through relevant knowledge.

Metodologías de modelado, monitorización y asistencia robótica en neurorrehabilitación funcional de extremidad superior

La Organización Mundial de la Salud (OMS) prevé que para el año 2020, el Daño Cerebral Adquirido (DCA) estará entre las 10 causas más comunes de discapacidad. Estas lesiones, dadas sus consecuencias físicas, sensoriales, cognitivas, emocionales y socioeconómicas, cambian dramáticamente la vida de los pacientes y sus familias. Las nuevas técnicas de intervención precoz y el desarrollo de la medicina intensiva en la atención al DCA han mejorado notablemente la probabilidad de supervivencia. Sin embargo, hoy por hoy, las lesiones cerebrales no tienen ningún tratamiento quirúrgico que tenga por objetivo restablecer la funcionalidad perdida, sino que las terapias rehabilitadoras se dirigen hacia la compensación de los déficits producidos. Uno de los objetivos principales de la neurorrehabilitación es, por tanto, dotar al paciente de la capacidad necesaria para ejecutar las Actividades de Vida Diaria (AVDs) necesarias para desarrollar una vida independiente, siendo fundamentales aquellas en las que la Extremidad Superior (ES) está directamente implicada, dada su gran importancia a la hora de la manipulación de objetos. Con la incorporación de nuevas soluciones tecnológicas al proceso de neurorrehabilitación se pretende alcanzar un nuevo paradigma centrado en ofrecer una práctica personalizada, monitorizada y ubicua con una valoración continua de la eficacia y de la eficiencia de los procedimientos y con capacidad de generar conocimientos que impulsen la ruptura del paradigma de actual. Los nuevos objetivos consistirán en minimizar el impacto de las enfermedades que afectan a la capacidad funcional de las personas, disminuir el tiempo de incapacidad y permitir una gestión más eficiente de los recursos. Estos objetivos clínicos, de gran impacto socio-económico, sólo pueden alcanzarse desde una apuesta decidida en nuevas tecnologías, metodologías y algoritmos capaces de ocasionar la ruptura tecnológica necesaria que permita superar las barreras que hasta el momento han impedido la penetración tecnológica en el campo de la rehabilitación de manera universal. De esta forma, los trabajos y resultados alcanzados en la Tesis son los siguientes: 1. Modelado de AVDs: como paso previo a la incorporación de ayudas tecnológicas al proceso rehabilitador, se hace necesaria una primera fase de modelado y formalización del conocimiento asociado a la ejecución de las actividades que se realizan como parte de la terapia. En particular, las tareas más complejas y a su vez con mayor repercusión terapéutica son las AVDs, cuya formalización permitirá disponer de modelos de movimiento sanos que actuarán de referencia para futuros desarrollos tecnológicos dirigidos a personas con DCA. Siguiendo una metodología basada en diagramas de estados UML se han modelado las AVDs 'servir agua de una jarra' y 'coger un botella' 2. Monitorización ubícua del movimiento de la ES: se ha diseñado, desarrollado y validado un sistema de adquisición de movimiento basado en tecnología inercial que mejora las limitaciones de los dispositivos comerciales actuales (coste muy elevado e incapacidad para trabajar en entornos no controlados); los altos coeficientes de correlación y los bajos niveles de error obtenidos en los corregistros llevados a cabo con el sistema comercial BTS SMART-D demuestran la alta precisión del sistema. También se ha realizado un trabajo de investigación exploratorio de un sistema de captura de movimiento de coste muy reducido basado en visión estereoscópica, habiéndose detectado los puntos clave donde se hace necesario incidir desde un punto de vista tecnológico para su incorporación en un entorno real 3. Resolución del Problema Cinemático Inverso (PCI): se ha diseñado, desarrollado y validado una solución al PCI cuando el manipulador se corresponde con una ES humana estudiándose 2 posibles alternativas, una basada en la utilización de un Perceptrón Multicapa (PMC) y otra basada en sistemas Artificial Neuro-Fuzzy Inference Systems (ANFIS). La validación, llevada a cabo utilizando información relativa a los modelos disponibles de AVDs, indica que una solución basada en un PMC con 3 neuronas en la capa de entrada, una capa oculta también de 3 neuronas y una capa de salida con tantas neuronas como Grados de Libertad (GdLs) tenga el modelo de la ES, proporciona resultados, tanto de precisión como de tiempo de cálculo, que la hacen idónea para trabajar en sistemas con requisitos de tiempo real 4. Control inteligente assisted-as-needed: se ha diseñado, desarrollado y validado un algoritmo de control assisted-as-needed para una ortesis robótica con capacidades de actuación anticipatoria de la que existe un prototipo implementado en la actualidad. Los resultados obtenidos demuestran cómo el sistema es capaz de adaptarse al perfil disfuncional del paciente activando la ayuda en instantes anteriores a la ocurrencia de movimientos incorrectos. Esta estrategia implica un aumento en la participación del paciente y, por tanto, en su actividad muscular, fomentándose los procesos la plasticidad cerebral responsables del reaprendizaje o readaptación motora 5. Simuladores robóticos para planificación: se propone la utilización de un simulador robótico assisted-as-needed como herramienta de planificación de sesiones de rehabilitación personalizadas y con un objetivo clínico marcado en las que interviene una ortesis robotizada. Los resultados obtenidos evidencian como, tras la ejecución de ciertos algoritmos sencillos, es posible seleccionar automáticamente una configuración para el algoritmo de control assisted-as-needed que consigue que la ortesis se adapte a los criterios establecidos desde un punto de vista clínico en función del paciente estudiado. Estos resultados invitan a profundizar en el desarrollo de algoritmos más avanzados de selección de parámetros a partir de baterías de simulaciones Estos trabajos han servido para corroborar las hipótesis de investigación planteadas al inicio de la misma, permitiendo, asimismo, la apertura de nuevas líneas de investigación. Summary The World Health Organization (WHO) predicts that by the year 2020, Acquired Brain Injury (ABI) will be among the ten most common ailments. These injuries dramatically change the life of the patients and their families due to their physical, sensory, cognitive, emotional and socio-economic consequences. New techniques of early intervention and the development of intensive ABI care have noticeably improved the survival rate. However, in spite of these advances, brain injuries still have no surgical or pharmacological treatment to re-establish the lost functions. Neurorehabilitation therapies address this problem by restoring, minimizing or compensating the functional alterations in a person disabled because of a nervous system injury. One of the main objectives of Neurorehabilitation is to provide patients with the capacity to perform specific Activities of the Daily Life (ADL) required for an independent life, especially those in which the Upper Limb (UL) is directly involved due to its great importance in manipulating objects within the patients' environment. The incorporation of new technological aids to the neurorehabilitation process tries to reach a new paradigm focused on offering a personalized, monitored and ubiquitous practise with continuous assessment of both the efficacy and the efficiency of the procedures and with the capacity of generating new knowledge. New targets will be to minimize the impact of the sicknesses affecting the functional capabilitiies of the subjects, to decrease the time of the physical handicap and to allow a more efficient resources handling. These targets, of a great socio-economic impact, can only be achieved by means of new technologies and algorithms able to provoke the technological break needed to beat the barriers that are stopping the universal penetration of the technology in the field of rehabilitation. In this way, this PhD Thesis has achieved the following results: 1. ADL Modeling: as a previous step to the incorporation of technological aids to the neurorehabilitation process, it is necessary a first modelling and formalization phase of the knowledge associated to the execution of the activities that are performed as a part of the therapy. In particular, the most complex and therapeutically relevant tasks are the ADLs, whose formalization will produce healthy motion models to be used as a reference for future technological developments. Following a methodology based on UML state-chart diagrams, the ADLs 'serving water from a jar' and 'picking up a bottle' have been modelled 2. Ubiquitous monitoring of the UL movement: it has been designed, developed and validated a motion acquisition system based on inertial technology that improves the limitations of the current devices (high monetary cost and inability of working within uncontrolled environments); the high correlation coefficients and the low error levels obtained throughout several co-registration sessions with the commercial sys- tem BTS SMART-D show the high precision of the system. Besides an exploration of a very low cost stereoscopic vision-based motion capture system has been carried out and the key points where it is necessary to insist from a technological point of view have been detected 3. Inverse Kinematics (IK) problem solving: a solution to the IK problem has been proposed for a manipulator that corresponds to a human UL. This solution has been faced by means of two different alternatives, one based on a Mulilayer Perceptron (MLP) and another based on Artificial Neuro-Fuzzy Inference Systems (ANFIS). The validation of these solutions, carried out using the information regarding the previously generated motion models, indicate that a MLP-based solution, with an architecture consisting in 3 neurons in the input layer, one hidden layer of 3 neurons and an output layer with as many neurons as the number of Degrees of Freedom (DoFs) that the UL model has, is the one that provides the best results both in terms of precission and in terms of processing time, making in idoneous to be integrated within a system with real time restrictions 4. Assisted-as-needed intelligent control: an assisted-as-needed control algorithm with anticipatory actuation capabilities has been designed, developed and validated for a robotic orthosis of which there is an already implemented prototype. Obtained results demonstrate that the control system is able to adapt to the dysfunctional profile of the patient by triggering the assistance right before an incorrect movement is going to take place. This strategy implies an increase in the participation of the patients and in his or her muscle activity, encouraging the neural plasticity processes in charge of the motor learning 5. Planification with a robotic simulator: in this work a robotic simulator is proposed as a planification tool for personalized rehabilitation sessions under a certain clinical criterium. Obtained results indicate that, after the execution of simple parameter selection algorithms, it is possible to automatically choose a specific configuration that makes the assisted-as-needed control algorithm to adapt both to the clinical criteria and to the patient. These results invite researchers to work in the development of more complex parameter selection algorithms departing from simulation batteries Obtained results have been useful to corroborate the hypotheses set out at the beginning of this PhD Thesis. Besides, they have allowed the creation of new research lines in all the studied application fields.

El rol de las redes de apoyo transnacional en la evolución del régimen de trata de personas en la región del mekong, 2004-2015

Con el fin de la unipolaridad no sólo se fortalecieron mecanismos de gobernanza global como los Regímenes Internacionales, sino también se fortalecieron actores no estatales. A pesar de la importancia que tomaron estos dos elementos aún no existe una teoría que explique exhaustivamente la relación que existe entre ellos. Es por lo anterior que, la investigación busca responder de qué manera el rol de las Redes de Apoyo Transnacional ha incidido en la evolución del régimen de tráfico de personas en la Región del Mekong. Asimismo tiene como objetivo comprender las relación entre el Régimen y las Redes de Apoyo Transnacional a través de la formulación de un caso de estudio basado en metodologías cualitativas, específicamente, en el análisis teórico-constructivista y el análisis de contenido de documentos producidos por actores estatales y no estatales.

Computer vision in aseptic pharmaceutical manufacturing: a deep learning-based approach to vial inspection and pack formation during a lyophilizer loading cycle

Vision systems are powerful tools playing an increasingly important role in modern industry, to detect errors and maintain product standards. With the enlarged availability of affordable industrial cameras, computer vision algorithms have been increasingly applied in industrial manufacturing processes monitoring. Until a few years ago, industrial computer vision applications relied only on ad-hoc algorithms designed for the specific object and acquisition setup being monitored, with a strong focus on co-designing the acquisition and processing pipeline. Deep learning has overcome these limits providing greater flexibility and faster re-configuration. In this work, the process to be inspected consists in vials’ pack formation entering a freeze-dryer, which is a common scenario in pharmaceutical active ingredient packaging lines. To ensure that the machine produces proper packs, a vision system is installed at the entrance of the freeze-dryer to detect eventual anomalies with execution times compatible with the production specifications. Other constraints come from sterility and safety standards required in pharmaceutical manufacturing. This work presents an overview about the production line, with particular focus on the vision system designed, and about all trials conducted to obtain the final performance. Transfer learning, alleviating the requirement for a large number of training data, combined with data augmentation methods, consisting in the generation of synthetic images, were used to effectively increase the performances while reducing the cost of data acquisition and annotation. The proposed vision algorithm is composed by two main subtasks, designed respectively to vials counting and discrepancy detection. The first one was trained on more than 23k vials (about 300 images) and tested on 5k more (about 75 images), whereas 60 training images and 52 testing images were used for the second one.

Pedagogia do esporte : organização, sistematização, aplicação e avaliação de conteúdos esportivos na educação não formal = Sport pedagogy : organization, systematization and application of sports content in non-formal education

Universidade Estadual de Campinas . Faculdade de Educação Física

Pedagogia do esporte : pressupostos para uma teoria da avaliação da aprendizagem = Sport pedagogy: presuppositions for a learning assessment theory

Universidade Estadual de Campinas . Faculdade de Educação Física

Is your vision consistent? A method for checking, based on scenario concepts

Common sense tells us that the future is an essential element in any strategy. In addition, there is a good deal of literature on scenario planning, which is an important tool in considering the future in terms of strategy. However, in many organizations there is serious resistance to the development of scenarios, and they are not broadly implemented by companies. But even organizations that do not rely heavily on the development of scenarios do, in fact, construct visions to guide their strategies. But it might be asked, what happens when this vision is not consistent with the future? To address this problem, the present article proposes a method for checking the content and consistency of an organization`s vision of the future, no matter how it was conceived. The proposed method is grounded on theoretical concepts from the field of future studies, which are described in this article. This study was motivated by the search for developing new ways of improving and using scenario techniques as a method for making strategic decisions. The method was then tested on a company in the field of information technology in order to check its operational feasibility. The test showed that the proposed method is, in fact, operationally feasible and was capable of analyzing the vision of the company being studied, indicating both its shortcomings and points of inconsistency. (C) 2007 Elsevier Ltd. All rights reserved.