1,721,024 research outputs found
Big data and the measurement of public organizations’ performance and efficiency: The state-of-the-art
© 2017, © The Author(s) 2017. The increasing availability of statistical data raises opportunities for ‘big’ data and learning analytics. Here, we review the academic literature and research relating to the use of big data analytics in the public sector, and its contribution to public organizations’ performance and efficiency. We outline the advantages as well as the limitations of using big data in public sector organizations and identify research gaps in recent studies and interesting areas for future research.status: Publishe
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector
© 2019 This paper introduces a new composite indicator method integrating the spatial dependence into the robust directional model in the case of undesirable outputs. The proposed approach is advantageous compared to the traditional and conditional robust Benefit-of-the-Doubt (BoD) models in that it allows to compare the performance of individual units with local cluster of peers. The methodology has been tested on a very detailed database of Italian municipalities for the year 2015 in the municipal solid waste collection and processing sector and confirms the existence of strong local constraints linked to the disposal facilities planned by higher level Authorities.status: Published onlin
Variations on the Author
“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
We 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
Measuring regional social inclusion performances in the EU: Looking for unity in diversity
© The Author(s) 2018. This study measures and benchmarks regional social inclusion performances in Europe using a composite index constructed on the basis of the commonly agreed sub-indicators of the Europe 2020 headline indicators. The multidimensional nature of these issues and the disparate social policy priorities of nations/regions in addressing them call for a reconciliatory performance evaluation framework, for which this article advocates the use of benefit-of-the-doubt (BoD) weighting. Based on the composite scores, leading and lagging regions in social inclusion are identified and the impact of regional contextual characteristics is examined. Overall results show that regions of Denmark and Sweden are consistently strong performers, while the Continental regions of Italy and Spain typically perform poorly. As to the poverty and social exclusion determinants, results show that low educational attainment and a high percentage of single-parent households relate negatively to regional social inclusion.sponsorship: This paper is an offshoot of the Impulsproject IMP/14/011 of the KU Leuven (Belgium). (KU Leuven (Belgium)|IMP/14/011)status: Publishe
Dispelling the Myths Behind First-author Citation Counts
We 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
EU countries' progress towards 'Europe 2020 strategy targets'
© 2019 The Society for Policy Modeling This paper describes and analyzes EU Member States’ progress towards the national EU2020 targets. To do so, this paper constructs a geometric composite index with Benefit-of-the-Doubt weights as a measure of a Member State's overall performance on the EU2020 headline indicators. A tripartite decomposition of Member State performance change is presented to explain and analyze performance change of the EU-region and the individual EU Member States during the period 2008–2014. The results reveal that all Member States are in general making progress towards their national targets. Member States generally moved forward in the areas of R&D, environmental and educational policy and moved backwards in terms of employment and poverty and social inclusion. As to the realization of the national targets, the majority of the Member States are still mostly lagging on R&D and social inclusion and poverty reduction.sponsorship: This paper is an offshoot of the Impulsproject IMP/14/011 of the KU Leuven (Belgium). Research assistance by Sarah Van Buggenhout and Pim Verbunt is gratefully acknowledged. (KU Leuven (Belgium)|IMP/14/011)status: Publishe
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