1,720,970 research outputs found
From Tandem To Simultaneous Dimensionality Reduction And Clustering Of Tourism Data
Full text linkThe study of tourist demand is a critical component of a successful destination management strategy. In order to define tourist segments, many factors play an important role in the decision-making process. Tourism motivations are often used as segmentation bases of tourism market since they can affect the choices about travel destination, type of holiday and consumer behaviour. A tourist destination offers many experiences and products, which appeal different market segments. This paper aims to identify a posteriori segments of tourism demand by means of multidimensional approach employing a simultaneous factorial dimensionality reduction and clustering method. On the basis of results, tourists are classified in two clusters in order to understand the relationship between motivations and consumer behaviour. In particular, the two observed clusters represent the very satisfied tourists and the tourists unsatisfied at different level, respectively. Moreover, in terms of cost of the holiday, the first group has a per capita expenditure bigger than second group
Building Well-Being Composite Indicator for Micro-Territorial Areas Through PLS-SEM and K-Means Approach
Full text linkIn the analysis of the difference in the distribution and profiles of the equitable and sustainable well-being, the territorial dimension is a fundamental reading-key for local policies since it allows the areas of advantage or relative deprivation to emerge more accurately. Specifically, in Italy the provincial level coincides with the administrative area of metropolitan cities, which are the subject of growing attention from European and national policies. The BES 2018 report by Italian National Institute of Statistics (ISTAT) has confirmed that from 2015 an improvement in many areas of well-being has been marked, even if territorial differences remain stable both in levels and dynamics. These differences appear in some cases as real structural differences between the North and South of Italy. Then, the measures of equitable and sustainable well-being in the territories allow, in various degrees, to deepen and specify this situation employing synthetic measures of well-being. In this work, we propose a statistical methodology focused on the simultaneous partial least squares structural equation modeling and simultaneous K-means clustering to obtain a composite indicator of Italian well-being and at the same time a classification of Italian territorial micro-areas by means of the just updated provincial data about BES 2018. In this way, the territorial differences of well-being can be more reliably and more exactly defined on the basis of the relationships among all elementary indicators and domains proposed in the analysis of well-being by ISTAT
Construction of an Immigrant Integration Composite Indicator through the Partial Least Squares Structural Equation Model K-Means
Full text linkIntegration is a multidimensional process, which can take place in different ways and at different times in relation to each of the single economic, social, cultural, and political dimensions. Hence, examining every single dimension is important as well as building composite indexes simultaneously inclusive of all dimensions in order to obtain a complete description of a complex phenomenon and to convey a coherent set of information. In this paper, we aim at building an immigrant integration composite indicator (IICI), able to measure the different aspects related to integration such as employment, education, social inclusion, active citizenship, and on the basis of which to simultaneously classify territorial areas such as European regions. For this application, the data collected in 274 European regions from the European Social Survey (ESS), Round 8, on immigration have been used
Sustainable Tourism Indicators and Sustainable Development Goals of 2030 Agenda: A Mapping
Full text linkThe 2030 Agenda by United Nations (United Nations, 2015) aims at extinguishing poverty, fighting inequality, facing climate change, and promoting human rights, local culture, and employment opportunities. Accordingly, it fosters three dimensions of sustainable development: economic, social, and environmental. The core of the 2030 Agenda is the achievement of 17 Sustainable Development Goals (SDGs) to be measured and monitored by means of specific, reliable, and valid indicators. Tourism sustainability is a component part of the 2030 Agenda (UNWTO & UNDP, 2017). In accordance with the SDG 12.b Develop and implement tools to monitor sustainable development impacts for sustainable tourism, which creates jobs, promotes local culture and products, in the present paper tourism sustainability indicators are organized in the frame of the 17 SDGs. A set of tourism sustainability indicators is identified in the literature and in specific datasets (e.g., Eurostat). Then, each indicator is related to one or more SDGs. The mapping is drawn along the social, economic, political, and environmental dimensions, according to specific sustainability issues (Rasoolimanesh et al., 2020). This could be a sound base to build composite indicators as measures of the different facets of tourism sustainability and actionable tools for the different stakeholders: decision-makers, tourists, host communities, entrepreneurs, etc. (UNWTO, 2015)
The Effect of Smoking on Humoral Response to COVID-19 Vaccines: A Systematic Review of Epidemiological Studies
Full text linkWhile the role of active smoking on response to vaccines is yet to be fully understood, some real-world studies have outlined a possible link between smoking and humoral response to COVID-19 vaccines. Thus, the present rapid systematic review aimed at summarizing the current epidemiological evidence on this association. Following PRISMA and WHO guidelines on rapid systematic reviews, we systematically reviewed published literature on this topic and discussed the findings according to the aim of analysing smoking and its impact on humoral response to COVID-19 postvaccination antibody titres. The search strategy yielded a total of 23 articles. The sample size amongst the studies ranged between 74 and 3475 participants (median, 360), with the proportion of smokers being between 4.2% and 40.8% (median, 26.0%). The studies included in this review analysis investigated the dynamics of antibody response to different type of COVID-19 vaccines. In 17 out of 23 studies, current smokers showed much lower antibody titres or more rapid lowering of the vaccine-induced IgG compared with nonsmokers. This rapid systematic review indicates that active smoking negatively impacts humoral response to COVID-19 vaccines, although the pathophysiologic mechanisms for this association have not been entirely suggested. The results advocate targeted policies to promote tailored health promotion initiatives, which can increase risk perception and ensure appropriate protection measures to be taken to avoid the health consequences of COVID-19 in smokers
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
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