4 resultados para Stars

em SAPIENTIA - Universidade do Algarve - Portugal


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Tese dout., Física - Astrofísica, Universidade do Algarve, 2007

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The purpose of this study on beach quality assessment and management was to evaluate the quality of five beaches in the Algarve Sotavento region of Portugal and to identify beach users’ preferences and priorities regarding their visit to a beach. The Algarve is one of the country’s most internationally known regions and it is generally perceived as a major tourist destination. Because of the increasing level of tourists, there is a specific need to address beach quality, as overcrowding can result in excessive litter, reduce water quality and consequently reduce the socio-economic value of the area. The main methodology for the evaluation of the beach quality in this pilot project was the Bathing Area Registration and Evaluation framework (BARE), which recognizes five beach types (rural, remote, resort, urban and village) through five main priority issues of concern to beach users (water quality, scenery, litter, safety, facilities) and evaluates the beach quality, ranging from one (low) to five (high) stars. After overall bathing area classification, Quarteira-Vilamoura, Ilha do Farol, Ilha Deserta and Ilha da Armona received three-star rating and Quinta do Lago site obtained a one-star rating. The quantitative research data on beach users’ preferences and priorities was obtained through administration of 50 questionnaires per beach and showed that beach users at all sites expressed the need for improved cleanliness, safety and facilities on the beach. The BARE framework, together with the questionnaire surveys, allowed the identification of management priorities required to improve the quality of individual beaches and therefore increase income from tourism.

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The purpose of this report is to do a presentation of the hotel where I will be working, characterising the reception department and all the activities that I developed during this placement. On this placement at the CHH (Crieff Hydro Hotel) – family 4 stars resort, my goal is to have an experience in hospitality, in special in reception. This placement is carried out from my Master degree in Direcção e Gestão Hoteleira (Commercial branch) at the University of the Algarve – Campus Penha. For this report it was also intended to do an analysis of the guest experience in hospitality and for that it was necessary to do a literature review adequate for my area of work in the hotel giving importance to the guest experience in the hospitality. For my analysis regarding the guest experience in hospitality, I used data collected from the surveys answered by the guests that stayed with us in the hotel. To analyse the data it was necessary to do a categorial analysis technique. After this year of placement in the hotel and after this analysis, as results I have the opportunity to continue my work in the hotel and also the possibility of a better position in a near future. Last but not least, this report demonstrates my work path and also helps to have a better understanding of the satisfaction perceived by the guest in order to give us tools to improve it. From what we can see, the guests’ satisfaction is highly rated on both surveys.

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Nowadays many travelers use online travel agency (OTAs) to book flights, hotel rooms, rent-a-cars, cruises or entire vacation packages. Usually OTAs allow their users to give scores and to write reviews about what was used. Each OTA defines the terms and conditions for guest rating or review score and hoteliers are giving increasing importance to the scores and reviews their guests do in OTAs. This paper proposes two guest reputation index to help hoteliers to monitorize their presence in OTAs. The Aggregated Guest Reputation Index (AGRI), which shows the positioning of a hotel in different OTAs and it is calculated from the scores obtained by the hotels in those OTAs. Another one, the Semantic Guest Reputation Index (SGRI), which incorporates the social reputation of a hotel and that can be visualized through the development of word clouds or tag clouds. Examples of usage of these indexes are given with data extracted from 5-stars hotels in the Algarve, south region of Portugal, that are available on Booking and Expedia.