1,720,973 research outputs found
Knowledge-Driven Agglomeration Processes
No full textAccording to the economic geography literature, firms tend to geographically cluster when agglomeration economies exist. These are positive externalities associated with the co-location of firms within a bounded geographic area. Traditionally, the agglomerative advantages have been expressed in terms of pecuniary externalities and they have been identified as one of the key sources of the geographical clusters' competitive advantage. However, in the last years the basics of competition are changed and the ability of firms to create new knowledge is more crucial for success rather than the efficiency in production. This has shifted the attention of scholars on the role of knowledge and learning for the competitiveness and success of geographical clusters. In line with these studies, the chapter suggests that agglomeration economies are related to both pecuniary externalities and knowledge-based externalities. The latter are benefits that co-located firms can gain in terms of development of knowledge. To investigate whether knowledge-based externalities affect geographical clustering of firms, an agent-based model is developed. By using this model, a simulation analysis is carried out
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
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
Network Analysis for Economics and Management Studies
No full textSociology and other social sciences have employed network analysis earlier than management and
organization sciences, and much earlier than economics, which has been the last one to systematically
adopt it. Nevertheless, the development of network economics during last 15 years has been massive,
alongside three main research streams: strategic formation network modeling, (mostly descriptive)
analysis of real economic networks, and optimization methods of economic networks. The main reason
why this enthusiastic and rapidly diffused interest of economists came so late is that the most essential
network properties, like externalities, endogenous change processes, and nonlinear propagation
processes, definitely prevent the possibility to build a general – and indeed even partial – competitive
equilibrium theory. For this paradigm has dominated economics in the last century, this incompatibility
operated as a hard brake, and presented network analysis as an inappropriate epistemology. Further,
being intrinsically (and often, until recent times, also radically) structuralist, social network analysis
was also antithetic to radical methodological individualism, which was – and still is – economics dominant
methodology. Though culturally and scientifically influenced by economists in some fields, like
finance, banking and industry studies, scholars in management and organization sciences were free
from “neoclassical economics chains”, and therefore more ready and open to adopt the methodology
and epistemology of social network analysis. The main and early field through which its methods were
channeled was the sociology of organizations, and in particular group structure and communication,
because this is a research area largely overlapped between sociology and management studies. Currently,
network analysis is becoming more and more diffused within management and organization sciences.
Mostly descriptive until 15 years ago, all the fields of social network analysis have a great opportunity
of enriching and developing its methods of investigation through statistical network modeling, which
offers the possibility to develop, respectively, network formation and network dynamics models. They are
a good compromise between the much more powerful agent-based simulation models and the usually
descriptive (or poorly analytical) methods
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
