1,720,955 research outputs found
The Economics of Publishing: A Bibliometric Research Landscape
No full textThe publishing industry has undergone significant changes due to advancements in digital technology and the shifting economic landscape. Globalization, digitalization, and increased competition have profoundly impacted the industry. Consequently, agility and foresight are needed to keep pace with these changes and compete with other sectors for people\u27s attention. This study examines the current research on the economic aspects of publishing, aiming to identify current and future trends in academic discussions. VOSviewer software is used to map keyword co-occurrences, aiding in identifying existing trends in the economic facet of publishing.The resulting VOSviewer bibliometric map synthesizes pivotal research themes, providing an illustrative guide to the economic undercurrents of the publishing industry. Key aspects include the shift from traditional to digital platforms, the implications of open access models, the interplay between copyright laws and digital rights management, and the strategic economic considerations of online content dissemination. The shift towards digital mediums has significantly impacted production and distribution costs, consumer pricing models, and revenue generation strategies. Open access is seen as a transformative element, challenging traditional revenue structures and advocating for the democratization of knowledge. However, copyright legislation and digital rights management are crucial to protecting intellectual property while facilitating content accessibility.This research contributes to understanding how economic factors interconnect within the publishing ecosystem, offering valuable insights for publishers, policymakers, and stakeholders navigating this transformative landscape. The study outlines current economic trends and predicts future directions in publishing economics, highlighting how emerging trends could transform the dynamics of information in the digital age
Communication between publishers and the public: the magnetic effect of social media
Get PDFIn the contemporary dynamic and turbulent economic environment being present and up to the minute becomes a necessity for almost any business. Social media is a communication infrastructure that allows and concomitantly sets the rules for information and message dissemination. Just as most organizations nowadays, publishing houses need to establish a strong online presence through posts on social media platforms. As they are both economic and cultural agents, the messages shared by publishers on social networks imply a higher degree of social responsibility and their content is particularly important. The present paper aims to explore how Romanian publishing houses are communicating with their current and potential customers on social platforms. The posts on various social media such as Facebook, Instagram, TikTok, Twitter, etc. from the last two months of 2022 and the first two months of 2023 are investigated through the content analysis research technique. As the book industry is strongly linked to the concept of knowledge, the analysis is performed from the perspective of the Theory of Knowledge Fields. The findings of this study could prove useful to various actors involved in the book industry and other cultural organizations, as it provides insights into cultural promotion via social platforms practices. The subject is topical since book consumption is an essential part of a healthy cultural and social life of a country
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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