5 resultados para VARIABLES ESTRATÉGICAS

em Repositório Científico do Instituto Politécnico de Lisboa - Portugal


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Mestrado em Contabilidade e Gestão das Instituições Financeiras

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The importance of Social Responsibility (SR) is higher if this business variable is related with other ones of strategic nature in business activity (competitive success that the company achieved, performance that the firms develop and innovations that they carries out). The hypothesis is that organizations that focus on SR are those who get higher outputs and innovate more, achieving greater competitive success. A scale for measuring the orientation to SR has defined in order to determine the degree of relationship between above elements. This instrument is original because previous scales do not exist in the literature which could measure, on the one hand, the three classics sub-constructs theoretically accepted that SR is made up and, on the other hand, the relationship between SR and the other variables. As a result of causal relationships analysis we conclude with a scale of 21 indicators, validated scale with a sample of firms belonging to the Autonomous Community of Extremadura and it is the first empirical validation of these dimensions we know so far, in this context.

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O propósito deste artigo é o de contribuir para um entendimento da edição como espaço social complexo. Este espaço social é constituído por um conjunto de agentes que actuam como construtores activos na esfera das ideias e da cultura escrita através de uma matriz prescritiva e selectiva da sua intervenção no livro, infundindo-lhe uma identidade própria que extravasa o texto na sua estrita acepção autoral. Por outro lado, o campo editorial e os agentes que o habitam integram processos mais vastos, configuradores de uma indústria específica e governados por interesses relacionados com a constituição de mercados de bens culturais, traduzindo-se este segundo aspecto nos pressupostos estratégicos de ressonância mercantil que suportam a actividade de mediação e prescrição de sentidos.

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In cluster analysis, it can be useful to interpret the partition built from the data in the light of external categorical variables which are not directly involved to cluster the data. An approach is proposed in the model-based clustering context to select a number of clusters which both fits the data well and takes advantage of the potential illustrative ability of the external variables. This approach makes use of the integrated joint likelihood of the data and the partitions at hand, namely the model-based partition and the partitions associated to the external variables. It is noteworthy that each mixture model is fitted by the maximum likelihood methodology to the data, excluding the external variables which are used to select a relevant mixture model only. Numerical experiments illustrate the promising behaviour of the derived criterion. © 2014 Springer-Verlag Berlin Heidelberg.

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In cluster analysis, it can be useful to interpret the partition built from the data in the light of external categorical variables which are not directly involved to cluster the data. An approach is proposed in the model-based clustering context to select a number of clusters which both fits the data well and takes advantage of the potential illustrative ability of the external variables. This approach makes use of the integrated joint likelihood of the data and the partitions at hand, namely the model-based partition and the partitions associated to the external variables. It is noteworthy that each mixture model is fitted by the maximum likelihood methodology to the data, excluding the external variables which are used to select a relevant mixture model only. Numerical experiments illustrate the promising behaviour of the derived criterion.