1,721,005 research outputs found

    Cultural Heritage and natural disasters: the insurance choice of the Italian Cathedrals

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    Given the threat of natural disasters to Cultural Heritage, this paper aims to investigate how the use of the insurance instrument contributes to the definition of an adequate risk management strategy. The analysis focuses on the role that insurance can play both by supplying policies covering damage and proactively stimulating prevention behaviors, taking into consideration information imperfections (i.e., adverse selection, moral hazard and charity hazard). Through a survey among Italian Dioceses, data about the diffusion of insurance contracts were collected together with other qualitative and quantitative elements linked to the decisional process of insuring Italian Cathedrals. The empirical analysis shows that the administrators of the Dioceses are aware of the economic value of the cultural assets and in safeguarding the Cathedrals they identify in the insurance system a useful and efficient risk management instrument

    Sustainable or not sustainable pension fund: This is the question. The case of environmental social governance policies in the Italian pension system

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    The Environmental Social Governance (ESG) framework is a fundamental issue in every field of economics. Integrating ESG factors into business models, strategies, and policies is the new frontier for financial intermediaries as European policymakers, regulators, and investors increasingly require this. Also, Pension Funds face the daunting task of generating sufficient returns to provide adequate and sustainable retirement incomes for their members in the context of an aging population. This current study aims to determine the relationship between Pension Funds' performance and ESG attention in asset allocation strategies and how relevant the presence of gender diversity is in the board to promote this attention. The obtained results can contribute to formulating a deeper view of ESG practices, revealing significant aspects that influence sustainability action in the Pension Funds Italian market and providing recommendations for European policymakers and practitioners for the future

    Cultural heritage and disasters risk: A machine-human coupled analysis

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    Natural hazards represent a major threat to cultural heritage. Literature has analyzed this nexus using different approaches depending on their focus. To provide a comprehensive understanding of the core pillars structuring the field, we use a machine-human methodology that combines bibliometric and machine-learning text analysis. We focus on a sample of 565 peer-reviewed documents published between 1988 and 2020. Results prove there is increasing interest in the topic, covering different types of hazards depending on the area of interest and its most frequently associated risks. To enhance the granularity of the analysis we apply machine learning to the publications abstracts and we classify documents based on their core topics. We find that the field is highly diverse and includes conservation, restoration and management of historical sites and cultural heritage. Scholars use sophisticated tools and innovative methodologies to account for this heterogeneity. We highlight the need for stronger interdisciplinarity in the field and we call for further progresses in spatial-explicit analysis. Finally, we point towards more inclusion of humanities in the area to account for the cultural aspects of heritage protection

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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