Diseño de un modelo de gestión basado en responsabilidad social empresarial. Caso: Nokia Siemens Networks Ecuador S.A.

El presente trabajo de investigación: “Diseño de un Modelo de Gestión basado en Responsabilidad Social Empresarial. Caso: Nokia Siemens Networks Ecuador S.A.” se compone de 3 capítulos: 1.- Responsabilidad Social Empresarial, 2.- Diagnóstico de la empresa Nokia Siemens Networks Ecuador S.A. y 3.- Diseño del Modelo de Gestión de Responsabilidad Social Empresarial. El primer capítulo contempla el marco teórico donde se analizan los conceptos de varios autores acerca de la Responsabilidad Social Empresarial, de la norma ISO 26000, así como ejemplos de empresas ecuatorianas que ya utilizan a la RSE como parte fundamental de su estrategia de negocios. Finalmente se citan entidades que promueven la Responsabilidad Social Empresarial en el Ecuador. En el segundo capítulo se realiza un estudio estratégico de la situación actual de la empresa, se analiza su modelo de gestión y su estrategia de negocios. Finalmente en el tercer capítulo se realiza el diseño del Modelo de Gestión basado en Responsabilidad Social Empresarial para la empresa Nokia Siemens Networks Ecuador S.A. El método de investigación de la tesis se basó en el estudio descriptivo de esta empresa en su conjunto, de su modelo de gestión y de sus principios (visión, misión, valores corporativos, objetivos estratégicos, políticas) para determinar de una manera inferencial y con un enfoque predominante cualitativo las acciones y cambios que debe implementar Nokia Siemens Networks Ecuador S.A. en su modelo de gestión actual para que esté enfocado en una Responsabilidad Social Empresarial. La empresa Nokia Siemens Networks es una multinacional de Telecomunicaciones que nació en 2007 como la fusión de la empresa alemana Siemens con la finlandesa Nokia. En Ecuador, esta multinacional tiene su representación con la empresa Nokia Siemens Networks Ecuador S.A. Palabras Claves: Responsabilidad Social, Modelo de Gestión, competitividad, sustentabilidad, estrategia de negocio, stakeholders.

Networks of contextualised ontologies for the Semantic Web

Currently many ontologies are available for addressing different domains. However, it is not always possible to deploy such ontologies to support collaborative working, so that their full potential can be exploited to implement intelligent cooperative applications capable of reasoning over a network of context-specific ontologies. The main problem arises from the fact that presently ontologies are created in an isolated way to address specific needs. However we foresee the need for a network of ontologies which will support the next generation of intelligent applications/devices, and, the vision of Ambient Intelligence. The main objective of this paper is to motivate the design of a networked ontology (Meta) model which formalises ways of connecting available ontologies so that they are easy to search, to characterise and to maintain. The aim is to make explicit the virtual and implicit network of ontologies serving the Semantic Web.

Inclusion, social networks and resilience: strategies, practices and outcomes for disabled children and their families

This paper explores the strategies of service providers and the benefits reported by disabled children and their parents/carers in three Children's Fund programmes in England. Based on National Evaluation of the Children's Fund research, we discuss how different understandings of ‘inclusion’ informed the diverse strategies and approaches service providers adopted. While disabled children and families perceived the benefits of services predominantly in terms of building individual children's resilience and social networks, the paper highlights the need for holistic approaches which have a broad view of inclusion, support children's networks and tackle disabling barriers within all the spheres of children's lives.

A management architecture for active networks

In this paper we present an architecture for network and applications management, which is based on the Active Networks paradigm and shows the advantages of network programmability. The stimulus to develop this architecture arises from an actual need to manage a cluster of active nodes, where it is often required to redeploy network assets and modify nodes connectivity. In our architecture, a remote front-end of the managing entity allows the operator to design new network topologies, to check the status of the nodes and to configure them. Moreover, the proposed framework allows to explore an active network, to monitor the active applications, to query each node and to install programmable traps. In order to take advantage of the Active Networks technology, we introduce active SNMP-like MIBs and agents, which are dynamic and programmable. The programmable management agents make tracing distributed applications a feasible task. We propose a general framework that can inter-operate with any active execution environment. In this framework, both the manager and the monitor front-ends communicate with an active node (the Active Network Access Point) through the XML language. A gateway service performs the translation of the queries from XML to an active packet language and injects the code in the network. We demonstrate the implementation of an active network gateway for PLAN (Packet Language for Active Networks) in a forty active nodes testbed. Finally, we discuss an application of the active management architecture to detect the causes of network failures by tracing network events in time.

A reconfigurable neural environment on active networks

This paper proposes the deployment of a neural network computing environment on Active Networks. Active Networks are packet-switched computer networks in which packets can contain code fragments that are executed on the intermediate nodes. This feature allows the injection of small pieces of codes to deal with computer network problems directly into the network core, and the adoption of new computing techniques to solve networking problems. The goal of our project is the adoption of a distributed neural network for approaching tasks which are specific of the computer network environment. Dynamically reconfigurable neural networks are spread on an experimental wide area backbone of active nodes (ABone) to show the feasibility of the proposed approach.