1,721,060 research outputs found
Exploring the dynamics of the efficiency in the Italian hospitality sector. A regional case study
No full textThis paper introduces a methodology to describe and compare the economic relative performance of the
hospitality sector of the Italian regions during the period 2000–2004. Dynamics of the hospitality sector
of each region is represented by the evolution of its economic efficiency. The investigation involves the
following steps: a static Data Envelopment Analysis (DEA) to estimate the pure economic efficiency;
two different notions of distances between time series and hierarchical clustering techniques are used
to classify the economies in the sample. By using a correlation-based distance, three main clusters are
detected, while two clusters are identified when the average distance is used. The trend patterns, identified by employing the correlation distance, can be interpreted in terms of exogenous factors that influence the economic efficiency of the group of regions, causing shocks picked up by the high volatility as
well as structural breaks. By employing the average distance, one infers information on the cluster that
have had similar efficiency values over the period under analysis. This efficiency can be also interpreted
in terms of a particular type of hospitality management as well as the firm structure. Following the analysis, some policy and management implications are presented
Cruise visitors’ intention to return as land tourists and recommend a visited destination. A structural equation model
No full textThis study analyses cruise visitors’ travel experience, their intention to return to a destination as land tourists and the probability to recommend. Consumer’s satisfaction is evaluated by taking into account the economic production factors, that is human and physical capital. “Satisfaction with prices” is also included to evaluate the monetary value of the overall purchasing experience. Safety in the harbour is considered as a further attribute. The empirical data were collected via a survey of cruise ship passengers that stopped in Cartagena de Indias (Colombia) during 2009. A structural equation model (SEM) is developed. The findings reveal that satisfaction is positively affected by human and physical capital, while overall satisfaction positively influences customers’ loyalty. Loyalty is also positively influenced by prices, whereas negatively by an unsafe perception. Finally, loyalty positively effects both the probability of return as land tourists and to recommend, though with a different magnitude
Cruise Passengers in a Homeport: A Market Analysis
No full textThe aim of this study is to examine cruise passengers' characteristics, preferences and their overall experience in a port of call. Based on 1,361 survey data collected from passengers in the port of call of Cartagena, during the third quarter of 2009, a three-step multivariate market segment analysis is employed. First, a correspondence analysis is run to reveal the underlying factors in the data; second, based on the correspondence analysis, a hierarchical cluster investigation is performed to segment the sample into homogeneous groups; third, a decision tree is computed to characterise each group. The cluster analysis identifies six distinct market segments differentiated by nationality, satisfaction, safety perception and expenditure. The findings imply several policy directions. In particular, institutions should enhance the perception of safety in Cartagena to guarantee repeated visits, an ad hoc marketing policy may encourage revisit by young South Americans, and managers should extend the inland visiting time that is likely to produce local multiplier effects
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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