1,720,956 research outputs found
Development of an integrated data system for regional tourism analysis in Italy: A microdata perspective
This paper presents the development of an integrated data system tailored for the Italian regions, combining
microdata from the Bank of Italy’s and ISTAT’s surveys. These datasets offer an in-depth analysis of both domestic and international aspects of tourism, framed within the theoretical context of the tourism determinants.
By merging this integrated dataset with additional data from other statistical sources, this study offers a
queryable relational database enabling granular regional analysis. Currently, tourism statistics in Italy are
fragmented and do not provide a unified picture of tourism in its many aspects. The relational model’s interoperability addresses Italy’s fragmented tourism data landscape, and its data definition language represents an
important step towards the creation of a unified tourism archive. Micro-data allows for different statistical analyses than those usually carried out with aggregated data, increasing knowledge of the dynamics of the sector
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
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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
Evaluating Sustainable Tourism: A Composite Index for European Destinations
This paper focuses on the analysis of sustainable tourism indicators for the 27 European Union (EU) countries to address the challenges faced by the tourism sector. The impact of sustainable tourism indicators on destination competitiveness was evaluated using the EU Tourism Dashboard, a scheme funded by the European Commission. The Mazziotta-Pareto Index was used to construct the indicator of sustainability by incorporating the three pillars of indicators: Environmental impact, Digitalisation, and Socio-economic vulnerability. The proposed approach provides greater tractability and flexibility for decision-makers to adjust the number of indicators to meet specific case conditions. The sustainable tourism indicators aim to provide critical information for resource allocation and policymaking in the conservation of tourism sites, as well as improving the welfare and inclusiveness of local communities. The findings of the analysis highlight significant disparities among destinations in terms of the examined indicators, emphasizing variations in sustainability profiles and performance within the tourism sector. These disparities underscore the need for personalized and targeted approaches to address the specific challenges and opportunities faced by each destination in achieving sustainable tourism development. Furthermore, the proposed ranking system, updated at regular intervals, can enhance the image and reputation of European areas as high-quality and sustainable destinations, attracting increased tourism demand. Additionally, the ranking system can foster knowledge sharing and the adoption of benchmarking practices, incentivizing countries to maintain and improve their position in the ranking. This work contributes to addressing the evidence gap in tourism sustainability policymaking and provides a comprehensive framework for the development of sustainable tourism analysis in the EU context
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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