9 resultados para Socio-technical systems

em Memoria Académica - FaHCE, UNLP - Argentina


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Este trabajo realiza una reconstrucción de la trayectoria socio-técnica de la conformación de una empresa de biotecnología en el campo de la salud humana en la Argentina. En este marco, se analizan en particular las tensiones entre los diferentes estilos socio-técnicos de producción de tecnologías intensivas en conocimientos identificados en la firma. Se proponen algunas relaciones explicativas del caso y se reflexiona sobre la aplicación del concepto de estilo socio-técnico para comprender la dinámica del cambio tecnológico en las firmas que producen tecnologías intensivas en conocimiento

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Este trabajo realiza una reconstrucción de la trayectoria socio-técnica de la conformación de una empresa de biotecnología en el campo de la salud humana en la Argentina. En este marco, se analizan en particular las tensiones entre los diferentes estilos socio-técnicos de producción de tecnologías intensivas en conocimientos identificados en la firma. Se proponen algunas relaciones explicativas del caso y se reflexiona sobre la aplicación del concepto de estilo socio-técnico para comprender la dinámica del cambio tecnológico en las firmas que producen tecnologías intensivas en conocimiento

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Este trabajo realiza una reconstrucción de la trayectoria socio-técnica de la conformación de una empresa de biotecnología en el campo de la salud humana en la Argentina. En este marco, se analizan en particular las tensiones entre los diferentes estilos socio-técnicos de producción de tecnologías intensivas en conocimientos identificados en la firma. Se proponen algunas relaciones explicativas del caso y se reflexiona sobre la aplicación del concepto de estilo socio-técnico para comprender la dinámica del cambio tecnológico en las firmas que producen tecnologías intensivas en conocimiento

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In the perspective of the so called 'cognitive capitalism', this paper intends to analyze the sharing and customization strategies developed in Brazilian online game communities. Under Bruno Latour's Actor-Network Theory (ANT), this work describes these socio-technical networks electing the human and non human relevant actants for their role on what could also be depicted as an distributed cognitive process (HUTCHINS, 2000). This alternative way of participative consumption deals with the social and creative production of tutorials; in-game and out-game editing and all sorts of gathering, organization and distribution of virtual data. The communities studied are related to the game Pro Evolution Soccer (PES) in their multiple platforms

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In the perspective of the so called 'cognitive capitalism', this paper intends to analyze the sharing and customization strategies developed in Brazilian online game communities. Under Bruno Latour's Actor-Network Theory (ANT), this work describes these socio-technical networks electing the human and non human relevant actants for their role on what could also be depicted as an distributed cognitive process (HUTCHINS, 2000). This alternative way of participative consumption deals with the social and creative production of tutorials; in-game and out-game editing and all sorts of gathering, organization and distribution of virtual data. The communities studied are related to the game Pro Evolution Soccer (PES) in their multiple platforms

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In the perspective of the so called 'cognitive capitalism', this paper intends to analyze the sharing and customization strategies developed in Brazilian online game communities. Under Bruno Latour's Actor-Network Theory (ANT), this work describes these socio-technical networks electing the human and non human relevant actants for their role on what could also be depicted as an distributed cognitive process (HUTCHINS, 2000). This alternative way of participative consumption deals with the social and creative production of tutorials; in-game and out-game editing and all sorts of gathering, organization and distribution of virtual data. The communities studied are related to the game Pro Evolution Soccer (PES) in their multiple platforms

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Globalization as progress of economic development has increased population socioeconomical vulnerability when unequal wealth distribution within economic development process constitutes the main rule, with widening the gap between rich and poors by environmental pricing. Econological vulnerability is therefore increasing too, as dangerous substance and techniques should produce polluted effluents and industrial or climatic risk increasing (Woloszyn, Quenault, Faburel, 2012). To illustrate and model this process, we propose to introduce an analogical induction-model to describe both vulnerability situations and associated resilience procedures. At this aim, we first develop a well-known late 80?s model of socio-economic crack-up, known as 'Silent Weapons for Quiet Wars', which presents economics as a social extension of natural energy systems. This last, also named 'E-model', is constituted by three passive components, potential energy, kinetic energy, and energy dissipation, thus allowing economical data to be treated as a thermodynamical system. To extend this model to social and ecological sustainability pillars, we propose to built an extended E(Economic)-S(Social)-O(Organic) model, based on the three previous components, as an open model considering feedbacks as evolution sources. An applicative illustration of this model will then be described, through this summer's american severe drought event analysis

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Globalization as progress of economic development has increased population socioeconomical vulnerability when unequal wealth distribution within economic development process constitutes the main rule, with widening the gap between rich and poors by environmental pricing. Econological vulnerability is therefore increasing too, as dangerous substance and techniques should produce polluted effluents and industrial or climatic risk increasing (Woloszyn, Quenault, Faburel, 2012). To illustrate and model this process, we propose to introduce an analogical induction-model to describe both vulnerability situations and associated resilience procedures. At this aim, we first develop a well-known late 80?s model of socio-economic crack-up, known as 'Silent Weapons for Quiet Wars', which presents economics as a social extension of natural energy systems. This last, also named 'E-model', is constituted by three passive components, potential energy, kinetic energy, and energy dissipation, thus allowing economical data to be treated as a thermodynamical system. To extend this model to social and ecological sustainability pillars, we propose to built an extended E(Economic)-S(Social)-O(Organic) model, based on the three previous components, as an open model considering feedbacks as evolution sources. An applicative illustration of this model will then be described, through this summer's american severe drought event analysis

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Resumo:

Globalization as progress of economic development has increased population socioeconomical vulnerability when unequal wealth distribution within economic development process constitutes the main rule, with widening the gap between rich and poors by environmental pricing. Econological vulnerability is therefore increasing too, as dangerous substance and techniques should produce polluted effluents and industrial or climatic risk increasing (Woloszyn, Quenault, Faburel, 2012). To illustrate and model this process, we propose to introduce an analogical induction-model to describe both vulnerability situations and associated resilience procedures. At this aim, we first develop a well-known late 80?s model of socio-economic crack-up, known as 'Silent Weapons for Quiet Wars', which presents economics as a social extension of natural energy systems. This last, also named 'E-model', is constituted by three passive components, potential energy, kinetic energy, and energy dissipation, thus allowing economical data to be treated as a thermodynamical system. To extend this model to social and ecological sustainability pillars, we propose to built an extended E(Economic)-S(Social)-O(Organic) model, based on the three previous components, as an open model considering feedbacks as evolution sources. An applicative illustration of this model will then be described, through this summer's american severe drought event analysis