11 research outputs found

    ICEIRD 2011

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    The drivers of Corporate Social Responsibility in the supply chain. A case study.

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    Purpose: The paper studies the way in which a SME integrates CSR into its corporate strategy, the practices it puts in place and how its CSR strategies reflect on its suppliers and customers relations. Methodology/Research limitations: A qualitative case study methodology is used. The use of a single case study limits the generalizing capacity of these findings. Findings: The entrepreneur’s ethical beliefs and value system play a fundamental role in shaping sustainable corporate strategy. Furthermore, the type of competitive strategy selected based on innovation, quality and responsibility clearly emerges both in terms of well defined management procedures and supply chain relations as a whole aimed at involving partners in the process of sustainable innovation. Originality/value: The paper presents a SME that has devised an original innovative business model. The study pivots on the issues of innovation and eco-sustainability in a context of drivers for CRS and business ethics. These values are considered fundamental at International level; the United Nations has declared 2011 the “International Year of Forestry”

    Feature Papers "Age-Friendly Cities & Communities: State of the Art and Future Perspectives"

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    The "Age-Friendly Cities & Communities: States of the Art and Future Perspectives" publication presents contemporary, innovative, and insightful narratives, debates, and frameworks based on an international collection of papers from scholars spanning the fields of gerontology, social sciences, architecture, computer science, and gerontechnology. This extensive collection of papers aims to move the narrative and debates forward in this interdisciplinary field of age-friendly cities and communities

    COVID-2019 Impacts on Education Systems and Future of Higher Education

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    The rapid outbreak of the COVID-19 has presented unprecedented challenges on education systems. Closing schools and universities and cancelling face-to-face activities have become a COVID-19 inevitable reality in most parts of the world. To be business-as-usual, many higher education providers have taken steps toward digital transformation, and implementing a range of remote teaching, learning and assessment approaches. This book provides timely research on COVID-19 impacts on education systems and seeks to bring together scholars, educators, policymakers and practitioners to collectively and critically identify, investigate and share best practices that lead to rethinking and reframing the way we deliver education in future

    National Women's Studies Association Annual Conference: Feminist Transgressions

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    Digital program for the National Women's Studies Association 35th Annual Conference, held November 13-16, 2014, in San Juan, Puerto Rico

    Innovative Approaches for Sustainable Agriculture and Food Systems Development : Conference proceedings

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    Communication Trends in the Post-Literacy Era: Polylingualism, Multimodality and Multiculturalism As Preconditions for New Creativity : monograph

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    The monograph presents the research results of the discussion held at the Fifth International Research Conference “Communication trends in the post-literacy era: polylingualism, multimodality and multiculturalism as prerequisites for new creativity” (Ekaterinburg, UrFU, November 26–28, 2020). The book is a result of joint efforts by the research group “Multilingualism and Interculturalism in the Post-Literacy Era”. The research results are presented in the form of sections that consistently reveal the features of modern media culture; its contradictory manifestations associated with both positive and negative consequences of mass media use; the positive role of new media in education during the COVID‑19 pandemic; creative potential of contemporary art and mediation, contemporary art and media environment. The collective monograph will be of interest to researchers in media culture, media education, media art and tools of social networks and new media in modern education, primarily in teaching foreign languages and Russian as a foreign language, in the professional education of journalists and specialists in the field of media communications.Published with the support of RFBR grant 20‑011‑22081 “The Fifth International Research Conference “Communication trends in the post-literacy era: polylingualism, multimodality and multiculturalism as prerequisites for new creativity”

    A Statistical Approach to the Alignment of fMRI Data

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    Multi-subject functional Magnetic Resonance Image studies are critical. The anatomical and functional structure varies across subjects, so the image alignment is necessary. We define a probabilistic model to describe functional alignment. Imposing a prior distribution, as the matrix Fisher Von Mises distribution, of the orthogonal transformation parameter, the anatomical information is embedded in the estimation of the parameters, i.e., penalizing the combination of spatially distant voxels. Real applications show an improvement in the classification and interpretability of the results compared to various functional alignment methods

    A comparison of the CAR and DAGAR spatial random effects models with an application to diabetics rate estimation in Belgium

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    When hierarchically modelling an epidemiological phenomenon on a finite collection of sites in space, one must always take a latent spatial effect into account in order to capture the correlation structure that links the phenomenon to the territory. In this work, we compare two autoregressive spatial models that can be used for this purpose: the classical CAR model and the more recent DAGAR model. Differently from the former, the latter has a desirable property: its ρ parameter can be naturally interpreted as the average neighbor pair correlation and, in addition, this parameter can be directly estimated when the effect is modelled using a DAGAR rather than a CAR structure. As an application, we model the diabetics rate in Belgium in 2014 and show the adequacy of these models in predicting the response variable when no covariates are available
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