1,720,964 research outputs found

    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

    Author Index

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    Measuring Employee Performance in the Age of Remote Work: Key Metrics and Challenges

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    This study examines the impact of the remote work environment on employee performance and key metrics for performance measurement, focusing on the mediating role of challenges in remote work. Using a quantitative approach, data were collected from 60 employees at PT. GIEB Indonesia through structured electronic surveys. The results, analysed through Structural Equation Modeling (SEM) using Smart PLS, indicate that while the remote work environment does not directly influence employee performance, it significantly affects performance indirectly through the challenges employees face. These challenges, such as communication difficulties, technical issues, and work-life balance, were critical in determining employee performance and achieving key performance metrics. The findings suggest that organisations must address these challenges by providing appropriate support and resources to improve remote work effectiveness, enhance employee productivity, and ensure accurate performance evaluation. This study contributes valuable insights into optimising remote work strategies and managing employee performance in a digitally driven work landscape

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used

    Analisis Pengaruh Biaya Mutu Terhadap Penjualan Produk (Studi Kasus: Pusat Oleh-Oleh Minang di Kota Padang)

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    This is an empirical research to determine the influence of the independentvariable quality cost to the dependent variable sales.A T-test onprevention cost, valuation cost, failure cost showed significant influence on sales. An F-test on prevention cost,valuation cost, internal failure cost and external failure cost also showed significant influence on sales. Regression analysis was done using the multiple linear regression equation Y = 5316.608 + .988 X1 +.332 X2 + .018 X3 . Regression analysis showedpositive that prevention cost, valuation cost, internal failure cost, andexternal failure cost had a positive influence on sales, which indicates thatincreasing costs of quality leads to increase in sales. A coefficientdetermination test (Kd) showed that 95% of quality cost contributes tosales; the remaining 5% is influenced by factors other than cost of qualit
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