1,720,976 research outputs found
Knowledge creation and transfer in local and global technology networks: A system dynamics perspective
No full textThe innovation process of firms and regions can be conceived as an open system whose success depends on the combination of heterogeneous pieces of information and knowledge owned by actors that may be located anywhere. The literature has stressed the importance of proximity dimensions as communication resources that can be exploited by firms to interact and exchange knowledge, and thus to create international networks. In this paper, a system dynamics model is adopted to describe and formalise the complex dynamics generated by knowledge and proximity inside global networks of economic actors operating in technology industries. The model analyses the evolution of these networks, studying the relationships between knowledge and proximity dimensions. Simulations are provided in order to investigate how the proximity dimensions, namely geographical, organisational and cognitive, affect the networks' evolution. Results show that knowledge creation and transfer processes are more effective for the network evolution when actors exploit all the proximity dimensions. © 2008, Inderscience Publishers
A system dynamics model to analyze technology districts' evolution in a knowledge-based perspective
No full textThe current economic scenario is more and more characterised by knowledge as a key element to enhance and foster firms and regions innovation and competitiveness, such as in the case of technology districts. In fact, they represent typical economic systems constituted by economic actors whose success and survival depend on their capability to create new knowledge and, then, innovation. Proximity dimensions (such as geographical, cognitive, and organizational) have been recognized as an important means to increase knowledge creation and diffusion among districts' actors. In this paper, the complex dynamics generated by knowledge, proximity, and firms agglomeration process inside a technology district are described and formalized adopting a system dynamics model. The model analyses the district evolution according to a knowledge-based perspective ceteris paribus, i.e. given other dimensions such as institutional, economical, and social issues. For each model variable, suitable proxies, mainly based on the notion of patents, are identified. Finally, simulations are provided in order to show how different values of organizational and cognitive proximities can affect the knowledge sharing and the agglomeration process of an actual high-technology district, represented by the aerospace district of Seattle. Results show that as cognitive and organizational proximities increase, district actors can fully exploit the benefits of agglomeration, in terms of knowledge sharing and creation, so favouring the district growth and development. © 2009 Elsevier Ltd. All rights reserved
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
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