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    Assessing perceived job quality among seasonal tourism workers: The case of Rimini, Italy

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    This article aims at discussing the perceived job quality especially among seasonal workers in the tourism industry through the analysis of a sample of 407 seasonal workers hired in the summer of 2013 in the Province of Rimini, one of the most popular sun, sand and sea tourism destinations in Europe. The identification/construction of a job quality index is the most original contribution of this article as it integrates the subjective components with a selection of objective items related to skills endowment and training opportunities and with a set of job holders’ characteristics, qualifications and occupations. The impact of each component is then evaluated and discussed in the article by means of several statistical and econometric techniques including analysis of variance and cluster analyses as well as ordinary least squares regressions. Results show that the perception of seasonal work seems thus to be more multifaceted than usually assumed. Although it is intrinsically precarious and characterized by objectively bad jobs under many aspects, such as stability, career opportunities and skill requirements, workers’ perception of job quality is mixed, being positively influenced by the assignment to part-time and front-line positions. Such evidence provides relevant insights to design better jobs in the tourism industry and improve its long-term sustainability in contexts characterized by high seasonality

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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
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