1,721,218 research outputs found
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Multinationality, R&D and productivity: evidence from the top R&D investors worldwide
No full textThis paper investigates the effects of multinationality on firm productivity, and contributes to the literature in two respects. First, we argue that multinationality affects productivity both directly and indirectly, through higher incentives to invest in R&D. Second, we maintain that the multinational depth and breadth have different direct effects on productivity and R&D. Using data from the top R&D investors in the world, we propose an econometric model with an R&D and a productivity equation that both depend on multinationality. We find: i) multinational depth has a positive effect on productivity, while the effect of multinational breadth is negative; ii) multinationality (along both dimensions) has a positive effect on R&D intensity, translating into an indirect positive effect on productivity; iii) the positive indirect effect is however not large enough to compensate the negative direct effect of multinational breadth
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R&D and productivity in the US and the EU: sectoral specificities and differences in the crisis
Full text linkUsing data on the US and EU top R&D spenders from 2004 until 2012, this paper investigates the sources of the US/EU productivity gap. We find robust evidence that US firms have a higher capacity to translate R&D into productivity gains (especially in the high-tech macro sector), and this contributes to explaining the higher productivity of US firms. Conversely, EU firms are more likely to achieve productivity gains through capital-embodied technological change, at least in the medium- and low-tech macro sectors. Our results also show that the US/EU productivity gap has worsened during the crisis period, as the EU companies have been more affected by the economic crisis in their capacity to translate R&D investments into productivity. Based on these findings, we make a case for a learning-based and selective R&D funding, which, instead of purely aiming at stimulating higher R&D expenditures, works on improving the firms’ capabilities to transform R&D into productivity gains
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
Directionality and subsidiarity: a regional policy for people and planet
Full text linkIn this paper we consider if and how regional policy can be designed to foster sustainability (the
wellbeing of people and planet) as well as being a catalyst for innovation and development. Focusing
on the entrepreneurial discovery process, the paper explores its role and limitations in balancing
directionality and subsidiarity in regional development. In its original conception, it was designed to
direct regional development towards promising future opportunities building on existing strengths.
We argue that while the rationale of the entrepreneurial discovery process serves innovation-driven
competitiveness, it lacks sufficient sensitivity to the social and environmental dimensions of
sustainability. Rather than retrofitting the missing dimensions of sustainability, the logic needs to be
rethought from the basics, which we do by asking if and under which conditions the entrepreneurial
discovery process directs regional development to deliver on human wellbeing and environmental
impact. We argue that this depends on the nature of existing opportunities, on how development is
framed and on who is engaged in the discovery process. To this end we argue that regional policy
needs to i) adopt a more capacious perspective to change processes and policy agency, taking action
if needed to reconfigure the opportunity space, and ii) adopt a broader perspective on discovery
processes, which goes beyond the realm of entrepreneurs and business alone and integrates the
lessons learned from experimentation processes in and across a variety of domains. For this to happen,
it is necessary to develop the institutional capacity for a regional development strategy that is sensitive
to multiple (and sometimes conflicting) societal goals
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