1,720,963 research outputs found
The relevance of goal programming for financial portfolio management: a bibliometric and systematic literature review
No full textGoal programming models have been highly relevant for portfolio management and selection due to their ability to handle multiple conflicting objectives simultaneously. These models possess simple and effective and features that support the decision-making process by incorporating different types of risk. Using a bibliometric approach, we collected 155 articles published from 1973 to 2022 from journals indexed in the Scopus database. Multiple software platforms (RStudio, VOSviewer, and Excel) were employed to analyze the data and depict the most active scientific actors in terms of countries, institutions, sources, and authors. Our review revealed three different stages and an upward trajectory in the publication trend starting from 2003 and found the predominant application of some Goal Programming models, such as the stochastic, fuzzy, and polynomial models. Moreover, we discovered that Spain, the USA, and China were the top three contributors to the literature, indicating a global interest in this area. The global relevance of goal programming is confirmed by the top 20 authors and their collaboration networks. We observed the dialogue between different disciplines, namely Decision Science and Management/Finance. Our study contributes to the body of knowledge in the intersection between goal programming and financial portfolios by (1) identifying the most influential articles and authors on this topic and (2) mapping and visualizing the trends in this field of research through network and cluster analysis
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Understanding knowledge hiding in business organizations: A bibliometric analysis of research trends, 1988–2020
No full textThis paper investigates how knowledge hiding (KH) contributes to individuals, groups, and the business processes of organizations, with regards to improving employee performance, strategic performance, and the organization’s overall knowledge management system (KMS), as well as the consequences and costs of KH in organizations. 117 English language research articles produced between 1988 and 2020 regarding KH are
analyzed, and insights provided into science mapping and performance analysis of KH studies, by drawing evidence from publication activities, prominent themes, citation trends, and collaborations amongst contributors.
The findings reveal that KH research has mainly focused on KH behavior, knowledge sharing (KS), and the KMS.
Firms with KH practices are responsible for challenging employee creativity, motivation, and workplace environment. This study will help business managers and leaders hone cooperative behavior to achieve an innovative environment and desired goals. Knowledge hiding also has positive implications, where leaders may have to hide confidential information from external elements or internal subordinates to protect the enterprise’s sovereignty and integrity
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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