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141.
The use of R&D grants as a policy instrument has been motivated by economic arguments of market failure. Neo-classical econometric studies have analysed the additionality of one Euro of subsidies on both the investments of companies in the R&D process and the output of that R&D process. More recently, behavioural additionality has been launched as a third form of additionality. In contrast to input and output additionality, behavioural additionality is related to changes in the processes that take place within the firm. In this paper, we analyse the determinants of the behavioural additionality of R&D grants. To explain the mechanism through which behavioural additionality is obtained, we use organizational learning theory as a guide to formulate our hypotheses. Hypotheses are tested using a telephone survey of 192 recipients of R&D grants provided by the IWT in Flanders in 2001–2004, matched to a sample of 84 firms that undertake innovation activities but which had never had a grant bid accepted. We find that congenital learning and interorganizational learning lead to increased behavioural additionality. However, these learning effects decrease with the number of subsidized projects that are undertaken by the company. 相似文献
142.
In the light of an increased emphasis on environmental education in revisions of the National Curriculum to be introduced in September 2000, this study used in-depth interviews to explore the understanding of a non-random sample of 12 practising primary school teachers in four areas: biodiversity, the carbon cycle, ozone and global warming. A methodological innovation in this research was the prior identification of basic scientific explanations of each area for a primary teachers, and the use of these as benchmarks for judging understanding. The study was able to identify those underpinning science concepts which were well understood, and those which were not so well understood. Some missing concepts and misconceptions are also reported. Although the findings cannot be generalised to all primary teachers, the fairly strong science backgrounds of eight teachers in the sample suggest that some of the difficulties reported may be found more widely. It is suggested that both the basic explanations and the difficulties of understanding displayed by the teachers can usefully inform programmes of professional development for environmental education. An outline of a guide for teacher education adopting this approach is provided. 相似文献
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Giangiacomo Bravo Mike Farjam Francisco Grimaldo Moreno Aliaksandr Birukou Flaminio Squazzoni 《Journal of Informetrics》2018,12(1):101-112
This paper aims to examine the influence of authors’ reputation on editorial bias in scholarly journals. By looking at eight years of editorial decisions in four computer science journals, including 7179 observations on 2913 submissions, we reconstructed author/referee-submission networks. For each submission, we looked at reviewer scores and estimated the reputation of submission authors by means of their network degree. By training a Bayesian network, we estimated the potential effect of scientist reputation on editorial decisions. Results showed that more reputed authors were less likely to be rejected by editors when they submitted papers receiving negative reviews. Although these four journals were comparable for scope and areas, we found certain journal specificities in their editorial process. Our findings suggest ways to examine the editorial process in relatively similar journals without recurring to in-depth individual data, which are rarely available from scholarly journals. 相似文献
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Mike Thelwall 《Journal of Informetrics》2018,12(1):1-9
Microsoft Academic is a free academic search engine and citation index that is similar to Google Scholar but can be automatically queried. Its data is potentially useful for bibliometric analysis if it is possible to search effectively for individual journal articles. This article compares different methods to find journal articles in its index by searching for a combination of title, authors, publication year and journal name and uses the results for the widest published correlation analysis of Microsoft Academic citation counts for journal articles so far. Based on 126,312 articles from 323 Scopus subfields in 2012, the optimal strategy to find articles with DOIs is to search for them by title and filter out those with incorrect DOIs. This finds 90% of journal articles. For articles without DOIs, the optimal strategy is to search for them by title and then filter out matches with dissimilar metadata. This finds 89% of journal articles, with an additional 1% incorrect matches. The remaining articles seem to be mainly not indexed by Microsoft Academic or indexed with a different language version of their title. From the matches, Scopus citation counts and Microsoft Academic counts have an average Spearman correlation of 0.95, with the lowest for any single field being 0.63. Thus, Microsoft Academic citation counts are almost universally equivalent to Scopus citation counts for articles that are not recent but there are national biases in the results. 相似文献