1,721,113 research outputs found

    Modelling consumer behaviour

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    Human existence cannot be separated from the natural environment humans live in. People are constantly interacting with their environment to maintain and improve their living conditions. This interaction with natural systems supports the existence and viability of societies and cultures. However, often people consume natural resources at a rate that endangers their existence and viability on the long run. Whereas this led to societies collapsing in the past (e.g., Ponting, 1993), during the last decades awareness has grown that the environmental impacts of our current socio-economic system not only affect the regional or national level, but also affect the world as a whole. These global changes, such as global warming, the thinning of the stratospheric ozone layer and large-scale deforestation, seriously jeopardise basic existential conditions. The critical question in understanding environmental problems is why many people so frequently over-exploit and damage natural resources, thereby endangering their own (future) living conditions, whereas other people use the same type of natural resources with moderation to preserve them. The commons dilemma is excellently suited for studying the behavioural factors and processes that determine when and why people tend to overexploit common resources, or exploit them in a sustainable manner. This monograph is aimed at presenting an integrative perspective on these factors and processes. To do so, we developed a multitheoretical meta-model of behaviour. This meta-model will be formalised in a computer simulation model, which provides a tool to study processes of resource use and consumption.

    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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