1,720,991 research outputs found
Branching out beyond the core: Museums hosting events
We study the determinants for museums to organise events except exhibitions.
We run logistic regressions using a dataset of 3659 Italian museums.
Ownership model, factors endowment, full operation, connectedness are influential.
Tourism vocation of the area and local potential audience are not significant.
In highly populated areas, museums would organise events if their budget increased
Tourist perceptions of health-safety risks in a time of pandemic
The COVID-19 pandemic has induced tourism destinations to reconsider organisational aspects related to health safety measures, as perceptions of health safety may have become particularly important for tourists. Using data from summer 2020, the period immediately after the outbreak of the pandemic, we investigate the factors that affected tourist perceptions of health safety. Data come from a survey of tourist-card holders in Trentino, an Italian mountain destination. Through regressions, we assess the conditional correlation between health safety measure evaluations following a holiday and a set of covariates related to the features of the tourist area and the tourists themselves, as well as COVID-19 incidence in their province of residence in the months before the holiday. Tourist-related features seem not to impact on perceived health safety, whereas some destination- and accommodation-related elements do. In particular, the number of tourist beds affects it negatively, and staying at a hotel does it in a positive way. COVID-19 incidence in one’s home province does not affect perceptions of health safety measures, which suggests a possible sample selection effect and/or the need for more fine-grained data. This paper is one of the few on the immediate effects of the COVID-19 pandemic using data from a large sample of actual tourists. Our findings point out the importance of the intrinsic features of some places and accommodation in influencing perceptions of safety. We discuss implications for scholars and destination managers
Public and private healthcare services: what drives the choice?
This paper has explored patients’ propensity to consume private healthcare services. We based our analysis on the typical tangible and intangible (for instance, responsiveness, reliability, assurance and staff empathy) domains of the SERVQUAL and SERVPERF methods. These variables may influence patients’ decision-making when they choose between the public and private sectors. We combined factor analysis (to obtain a set of latent factors related to perceived quality) and a partial proportional ordered logit model to estimate the probability that a patient would access private healthcare services. To test the main hypotheses, we used data from a stratified sample in Sardinia, a peripheral region of Italy. Findings revealed that private and public healthcare are substitutes, especially for primary/specialised services. Patients who used public healthcare frequently and had a low income were unlikely to change to private healthcare or to recommend private services. ‘Responsiveness’ and perceptions on ‘tangibles’ were key in determining the probability that a patient would choose and recommend private services. This paper offers a multifaceted framework that can be used in future research to generalise these findings, especially in insular regions that are constrained by mobility
Frequency of museum attendance: motivation matters
Some recent empirical contributions have highlighted that tourists often
go to museums yet appear to extract little utility from the experience. We argue that
this is often the case with agents who visit museums only while on holiday and
results from a temporary lack of substitute experience goods or compliance with a
must-do list. If such agents behaved according to Stigler and Becker’s rational
addiction theory, they would also visit museums while at home. However, most do
not, which makes them constantly occasional consumers. We indirectly test for the
presence of constantly occasional museum attendance by tourists, using data from a
survey conducted in 2012 at Vittoriale, the most popular museum at Lake Garda, a
renowned Italian tourist destination. By applying multiple correspondence analysis
to a question on motivations to visit the museum, we obtain two dimensions of
motivation: one based on a search for knowledge and the other based on a more
recreational attitude. Identification of the latter is a new finding in itself. We include
these dimensions as regressors in a model used to explain museum attendance. We
find, as expected, that light consumption negatively affects attendance. We therefore
argue that empirical analyses of museum attendance should not disregard light
motivation as a possible driver
Learning at the museum: Factors influencing visit length
Museum attendance is often seen as a chance for visitors to learn and thus increase their cultural capital. However, a share of the visitors may decide to attend museums for reasons other than cultural capital accumulation. This article investigates whether learning process takes place also in the case of tourists whose main motivation for the visit is recreational. Different attitudes towards cultural consumption may have a role in explaining visit length, seen as a proxy for learning. We present an empirical analysis of the determinants of both willingness to stay and actual length of stay at a museum. Evidence is based on a survey of tourists visiting the Italian museum of Vittoriale. Generalized ordered logit under partial proportional odds assumption and Cox proportional hazard models are used to assess the role of the covariates. A set of economic, socio-demographic, trip-related and psychographic controls is tested, with particular emphasis on motivation
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
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