3 research outputs found

    The sources of information of the genealogical tourist: the influence of social networks and genealogical associations

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    The increased demand for genealogical travel to places of family origin in recent years and its consequent economic and social repercussions have justified the aim of this research to obtain the sources of information used by genealogical tourists to prepare for their trip, and the influence that genealogical associations and groups operating on the Internet have on them. For this purpose, a survey was carried out among 223 genealogy enthusiasts who participate in or consult these groups and associations. Through a descriptive statistical analysis of the data obtained, using frequencies and percentages for qualitative variables and means with standard deviations for quantitative variables, this work confirms the outstanding influence that social networks and genealogical associations and groups have on general family history research information, and on specific questions of tourist interest that genealogists receive, and the lesser influence of travel agencies and traditional media. On the other hand, their results support the idea that the main reasons for these tourists to travel are to visit places where their ancestors lived and to research their family history in public archives. All these issues have implications for public cultural and tourism administrations and private sector companies in promoting the provision of historical documentary resources and materials on the internet, as well as the activity of genealogical associations and groups.This research did not receive any specific grant from funding agencies in the public, commercial, or not-for profit sectors. // Partial funding for open access charge: Universidad de Málaga / CBUA

    Keep It Simple: A Methodological Discussion of Wage Inequalities in the Spanish Hospitality Industry.

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    Human capital in hospitality has been widely addressed by applying sophisticated econometric methods. However, for the Spanish case, there was a gap in the analyses as the crucial importance of collective agreements was undervalued. This paper redesigns the conceptualisation of the variables and applies a subsequent new classification to job positions, as it deals with the outliers at different levels of rigorousness. Then, linearised and quantile regressions were run for each case, obtaining an outcome of thirty values for each variable. The analyses and comparisons show the high importance of collective agreements on salaries, the noticeable low values of human capital variables, and provides additional information for the nationality and gender gaps, the latter strikingly high in upper professional categories. Overall, this paper demonstrates the importance of a proper study design to prevent advanced econometric models from falling into bias and it minimises the differences between methods.Partial funding for open access charge: Universidad de Málag

    Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodology

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    The present work addresses the optimization of process parameters for adsorptive removal of α-toluic acid by calcium peroxide (CaO2) nanoparticles using response surface methodology (RSM). CaO2 nanoparticles were synthesized by chemical precipitation method and confirmed by Transmission electron microscopy (TEM) and high-resolution TEM (HRTEM) analysis which shows the CaO2 nanoparticles size range of 5–15 nm. A series of batch adsorption experiments were performed using CaO2 nanoparticles to remove α-toluic acid from the aqueous solution. Further, an experimental based central composite design (CCD) was developed to study the interactive effect of CaO2 adsorbent dosage, initial concentration of α-toluic acid, and contact time on α-toluic acid removal efficiency (response) and optimization of the process. Analysis of variance (ANOVA) was performed to determine the significance of the individual and the interactive effects of variables on the response. The model predicted response showed a good agreement with the experimental response, and the coefficient of determination, (R2) was 0.92. Among the variables, the interactive effect of adsorbent dosage and the initial α-toluic acid concentration was found to have more influence on the response than the contact time. Numerical optimization of process by RSM showed the optimal adsorbent dosage, initial concentration of α-toluic acid, and contact time as 0.03 g, 7.06 g/L, and 34 min respectively. The predicted removal efficiency was 99.50%. The experiments performed under these conditions showed α-toluic acid removal efficiency up to 98.05%, which confirmed the adequacy of the model prediction
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