1,720,967 research outputs found

    Consumer preferences for superfood ingredients - The case of bread in Germany

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    Although there is no legal definition of the word ‘superfood’, in recent years exotic foods and ingredients have become popular in German food retailers. The aim of the study was to determine consumer preferences for superfood ingredients in different types of bread; to accomplish this, a choice experiment was set up with a representative sample of 503 German consumers. Respondents had to choose between products with varying attributes such as type of bread, superfood ingredient, nutritional information, production method, durability, and price. The results indicate that consumers value bread that serves a functional purpose through superfood ingredients such as linseed or chia. Using latent class segmentation, the respondents were divided into four segments, of which three groups valued bread with superfood ingredients. All in all, the type of bread is the most important factor when choosing a bread. Further market research could take into account different types of superfoods (processed/unprocessed), as well as regional deviations in Germany and the EU member states to analyze differences regarding the market potential of staple foods such as bread that serve a functional purpose through superfood ingredients

    Keep on grazing: factors driving the pasture-raised milk market in Germany

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    Purpose The percentage of dairy cows managed in grazing systems in Northwest Europe is on the decline, even though pasturing is perceived favourably as enhancing the health and welfare of dairy cows. With consumers turning away from intensively produced food, developing the pasture-raised milk market could encourage farmers to continue keeping their cows on pastures. To provide insights for expanding this specialty milk market, the purpose of this paper is to, therefore, investigate the roles of personal, product-related, economic and social factors in purchasing pasture-raised milk. Design/methodology/approach Drivers of pasture-raised milk purchases are identified and the conceptual model is tested using structural equation modelling with data from a cross-sectional study among 917 German milk consumers. Findings Perceived price and availability barriers are the main consumption obstacles for pasture-raised milk. Besides increasing availability and reducing price premiums, processors should cater health and dietary conscious consumers by providing pasture-raised milk with unique and favourable product qualities, i.e. focussing on freshness, a rich taste or naturalness. Raising awareness for extensive husbandry systems may enhance pasture-raised milk purchases, while introducing a unified pasturing claim could help consumers to distinguish pasture-raised milk from conventional barn milk. Originality/value This study provides dairies and marketers with valuable insight about the factors driving pasture-raised milk purchases. This information is derived from a large sample with extensive regional coverage and will thus be useful in expanding this specialty milk market and in maintaining extensive dairy production. </jats:sec

    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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