1,721,453 research outputs found
"The Effects of Worker Participation, Employee Ownership and Profit Sharing on Economics Performance: A Partial Review"
Get PDFFor alternative sharing arrangements we review theory on the economic effects on employment, productivity, investment, income and wealth distribution, and life cycle and survival. We find that predictions are often ambiguous and that sometimes the nature and size of the specific effect is determined in part by the particular institutional arrangements. Next recent econometric work is studied. We review studies using aggregate and industry level time series data for Japan as well as studies that use enterprise and establishment level data for firms in North America and Western Europe. Worker participation, employee share ownership and profit sharing schemes are often found to affect that studies obtained conflicting results. However, available evidence is strongly suggestive that for employee ownership schemes to have a strong positive impact they need to be accompanied by provision for worker participation in decision making.
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
The principles of targeting
Get PDFIn response to calls for finer targeting of spending to alleviate poverty in developing countries, this paper discusses the principles of targeting. The ideal solution is that all transfers go to the poor. However, this is unrealizable because of three factors: (a) the costs of administration and data collection; (b) individual responses and incentive effects; and (c) considerations of political economy. The best strategy will probably lie somewhere between the two extremes - the ideal solution and universal intervention - mediated by these three considerations. Two types of targeting, although short of the ideal may be useful in certain contexts. With statistical targeting (using indicators), programs target key indicators such as a region, occupation, or the crops grown. Self-targeting uses differences in needs, tastes, or incomes as a device for achieving self-selection by only the poor into poverty alleviation programs. Real progress in understanding how targeting works best can be made only through country specific research that quantifies the costs and benefits of targeting using data that has increasingly become available for many developing countries - and research that is sensitive to the political realities of reform.Safety Nets and Transfers,Services&Transfers to Poor,Rural Poverty Reduction,Poverty Monitoring&Analysis,Environmental Economics&Policies
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