7 research outputs found

    The present state of research into industrial clusters and districts. Content analysis of material published 1997-2006

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    [EN] The aim of this work is to help gain a better understanding of the research conducted on territorial agglomerations of firms at a multidisciplinary level. To this end, an analysis was performed of the contents of the most significant scientific literature on economics, management, planning and development, urban studies and geography published over the period 1997-2006. From the results, a database of 142 papers from 43 journals was then elaborated. An analysis of these works reveals the level of development of the main lines of research in this field and, consequently, makes it possible to detect the topics that require greater attention and that can be the object of future research for researchers and academics. The main conclusions include the growing number of studies conducted on the subject in recent years, as well as a greater predominance of empirical research over conceptual work, and the existence of a significant change in the topics or lines of research throughout the period under study. © 2012 Copyright Taylor and Francis Group, LLC.This research was financed by the Spanish Ministry of Education and Science, National R&D & Innovation Plan 2007–2010, under the project entitled “El Distrito Industrial: el impacto del Capital Social sobre la Gestio´n de la Cadena de Suministro” (The Industrial District: the impact of Social Capital on the management of the Supply Chain) (SEJ2007- 62876/ECON).Martinez-Fernandez, M.; Capó Vicedo, J.; Vallet-Bellmunt, T. (2012). The present state of research into industrial clusters and districts. Content analysis of material published 1997-2006. European Planning Studies. 20(2):281-304. doi:10.1080/09654313.2012.650906S28130420

    Use of twitter data for waste minimisation in beef supply chain

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    Approximately one third of the food produced is discarded or lost, which accounts for 1.3 billion tons per annum. The waste is being generated throughout the supply chain viz. farmers, wholesalers/processors, logistics, retailers and consumers. The majority of waste occurs at the interface of retailers and consumers. Many global retailers are making efforts to extract intelligence from customer’s complaints left at retail store to backtrack their supply chain to mitigate the waste. However, majority of the customers don’t leave the complaints in the store because of various reasons like inconvenience, lack of time, distance, ignorance etc. In current digital world, consumers are active on social media and express their sentiments, thoughts, and opinions about a particular product freely. For example, on an average, 45,000 tweets are tweeted daily related to beef products to express their likes and dislikes. These tweets are large in volume, scattered and unstructured in nature. In this study, twitter data is utilised to develop waste minimization strategies by backtracking the supply chain. The execution process of proposed framework is demonstrated for beef supply chain. The proposed model is generic enough and can be applied to other domains as well

    AAA: Aulas de aprendizaje activo

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    Para promover el aprendizaje de los alumnos, algunas universidades están creando espacios de aprendizaje activo que reemplazan a las aulas tradicionales de clase magistral. En la Universitat Jaume Ide Castelló se han creado dos aulas(denominadas TEAM) para potenciarel aprendizaje cooperativo.Este trabajo tiene como objetivo describir el aula TEAM, explicar dos proyectos complementarios dirigidos a mejorar su funcionamiento y presentar los resultados de la primera de sus tres fase

    Be creative but not so much. Decreasing benefits of creativity in clustered firms

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    Several previous studies have investigated creativity as an enhancer of innovation, their results showing that there is a positive relationship between the organizational creative climate and innovation. However, no research has been conducted on whether there is a saturation point beyond which an increase in creativity makes innovation performance decrease. In this article, we question the traditional positive relationship between creativity and innovation, and suggest that such a relationship is not linear, but has instead an inverted U-shape due to a saturation effect. We have developed a conceptual model to explain innovation performance considering creativity and network centrality, and it has been tested in the ceramic industrial cluster in Spain. Empirical findings support the inverted U-shaped relationship between creativity and innovation. The implications of these results in relation to creativity and innovation theory and practices are discussed
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