1,720,959 research outputs found

    Knowledge Hiding: One of the Primary Reasons behind the Rapid Spread of the Novel Coronavirus COVID-19

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    The world is battling out the pandemic of Covid-19. The World Health Organization (WHO) is jointly acting upon the same daily, which is evident from the ‘situation reports.’ The pandemic, which saw its origin in Wuhan, has spread across the world within a short span of under two months. While the pandemic has effectively instilled a situation of cordon sanitaire across the globe, the virus seems to show no respite. This study collates different sources and establishes the human tendency of knowledge hiding as the prime reason for the spread of such colossal magnitudes. The study underlines the notion by examining some of the critical cases and situations that have unfolded in the very recent past

    Knowledge hiding in two contrasting cultural contexts: A relational analysis of the antecedents using TISM and MICMAC

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    KNOWLEDGE HIDING IN TWO CONTRASTING CULTURAL CONTEXTS: A RELATIONAL ANALYSIS OF THE ANTECEDENTS USING TISM AND MICMAC Knowledge hiding in two contrasting cultural contexts: A relational analysis of the antecedents using TISM and MICMAC (-

    Are You So Good That They Cannot Ignore You? Effect of Coworker Support on Knowledge Sharing Through an Affective Events Theory Perspective

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    Drawing on affective events theory, this study considers knowledge sharing as an outcome of emotional responses resulting from an individual’s experience of workplace events. This study aimed to empirically examine how coworker support as a work event encourages employees’ knowledge contribution and knowledge-seeking behaviors through feelings of vitality. A structured, questionnaire-based survey was administered to 430 employees of knowledge-based organizations in India. The retrieved data were further analyzed using structural equation modeling. The results indicate that perceived coworker support positively influences the knowledge contribution and knowledge-seeking behavior of individuals in the workplace. Furthermore, vitality mediated the positive association between perceived coworker support and knowledge sharing. This implies that the perception of coworker support in the workplace augments employees’ feelings of vitality, which further motivates them to contribute to and seek knowledge from coworkers. Therefore, this study critically underscores the existence of a “performance loop” in knowledge sharing, as coworkers find it difficult to bypass an employee because of their outstanding performance and the fact that the same virtuous cycle elicits greater knowledge sharing by coworkers. Such perceived goodwill makes employees so good that they cannot be ignored within an organizational setting. This is a pioneering study investigating how coworker support in the workplace stimulates knowledge sharing among employees by considering the mediating effect of feelings of vitality. This study also contributes to the positive psychology and knowledge management literature by revealing the implications of vitality for extra-role behaviors such as knowledge sharing

    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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    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
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