Psychometric properties of the Spanish version of the Collective Efficacy Questionnaire for Sports

Resumen tomado de la publicaci??n

Spanish adaptation of the Adolescents' Perceived Collective Family Efficacy Scale

Resumen tomado de la publicaci??n

Does the collective strategy ensure the small and medium sized perdurability?

El posicionamiento estratégico se define como el punto de partida de toda reflexión de la organización (por más pequeña que sea) que pretende poner un lugar dentro de la empresa el”give back” del propio rendimiento. En el caso de la estrategia colectiva, no sólo hay una visión de un dirigente (manager), al contrario hay una gran cantidad de visiones de diferentes gestores, que tendrá que tomar decisiones comunes beneficiosas para sus propios intereses y el común de los intereses de cada empresa. Por lo tanto, es esencial que la situación actual y los objetivos a alcanzar estén claramente definidos desde el comienzo de la elaboración de la estrategia, para evitar las posibles divergencias que puedan poner en riesgo la coherencia de la estrategia. Con los problemas encontrados en la PYME francesa, como el inicio de la actividad, los problemas financieros, la integración organizativa y la competencia y el desarrollo de productos, la estrategia colectiva aparece como una posible solución que permite a la PYME perdurar en el tiempo. En Francia, impulsada por el Gobierno y otras instituciones financieras y administrativas, esta estrategia ha conseguido resultados que antes no se habían pensado, como lo demuestra el estudio de modelo urbano el cuál es presentado en esta investigación. Esta es la razón y el por qué se eligió este tema.

Six Degrees: The New Science of Networks (Collective Dynamics Group ISERP -- Columbia University) Course Syllabus

Six Degrees: The New Science of Networks (Sociology, W3233, Spring 2006) Original URL: http://cdg.columbia.edu/cdg/courses/spring06/sixDegrees/syllabus.jsp

W3233 -- Networks and Complexity in Social Systems (Collective Dynamics Group ISERP -- Columbia University) Course Syllabus

The Networks and Complexity in Social Systems course commences with an overview of the nascent field of complex networks, dividing it into three related but distinct strands: Statistical description of large scale networks, viewed as static objects; the dynamic evolution of networks, where now the structure of the network is understood in terms of a growth process; and dynamical processes that take place on fixed networks; that is, "networked dynamical systems". (A fourth area of potential research ties all the previous three strands together under the rubric of co-evolution of networks and dynamics, but very little research has been done in this vein and so it is omitted.) The remainder of the course treats each of the three strands in greater detail, introducing technical knowledge as required, summarizing the research papers that have introduced the principal ideas, and pointing out directions for future development. With regard to networked dynamical systems, the course treats in detail the more specific topic of information propagation in networks, in part because this topic is of great relevance to social science, and in part because it has received the most attention in the literature to date.

Les wikis : espaces de l' intelligence collective.

Resumen tomado de la publicación

Collective construction of knowledge in the initial professional training for natural sciences

Monogr??fico con el t??tulo: " Formaci??n de profesores. Perspectivas de Brasil, Colombia, Espa??a y Portugal"

An exploration of the drivers to bio-security collective action among a sample of UK cattle and sheep farmers

At present, collective action regarding bio-security among UK cattle and sheep farmers is rare. Despite the occurrence of catastrophic livestock diseases such as bovine spongiform encephalopathy (BSE) and foot and mouth disease (FMD), within recent decades, there are few national or local farmer-led animal health schemes. To explore the reasons for this apparent lack of interest, we utilised a socio-psychological approach to disaggregate the cognitive, emotive and contextual factors driving bio-security behaviour among cattle and sheep farmers in the United Kingdom (UK). In total, we interviewed 121 farmers in South-West England and Wales. The main analytical tools included a content, cluster and logistic regression analysis. The results of the content analysis illustrated apparent 'dissonance' between bio-security attitudes and behaviour.(1) Despite the heavy toll animal disease has taken on the agricultural economy, most study participants were dismissive of the many measures associated with bio-security. Justification for this lack of interest was largely framed in relation to the collective attribution or blame for the disease threats themselves. Indeed, epidemic diseases were largely related to external actors and agents. Reasons for outbreaks included inadequate border control, in tandem with ineffective policies and regulations. Conversely, endemic livestock disease was viewed as a problem for 'bad' farmers and not an issue for those individuals who managed their stock well. As such, there was little utility in forming groups to address what was largely perceived as an individual problem. Further, we found that attitudes toward bio-security did not appear to be influenced by any particular source of information per se. While strong negative attitudes were found toward specific sources of bio-security information, e.g. government leaflets, these appear to simply reflect widely held beliefs. In relation to actual bio-security behaviours, the logistic regression analysis revealed no significant difference between in-scheme and out of scheme farmers. We concluded that in order to support collective action with regard to bio-security, messages need to be reframed and delivered from a neutral source. Efforts to support group formation must also recognise and address the issues relating to perceptions of social connectedness among the communities involved. (c) 2008 Elsevier B.V. All rights reserved.