5 resultados para competitors
em SAPIENTIA - Universidade do Algarve - Portugal
Resumo:
Dissertação de Mestrado, Finanças Empresariais, Faculdade de Economia, Universidade do Algarve, 2015
Resumo:
In an increasingly competitive global marketplace, the need for golf destinations to differentiate themselves from competitors has become more critical than ever. This paper raises questions about the promotional strategies employed by the golf sector in the Algarve, focusing on internet communication strategies, since this medium has become the biggest driving force towards the commoditisation of all aspects of the tourism experience. By offering a complementary perspective to the field of (critical) tourism studies, and drawing on a qualitative, multi-modal discourse analysis, this work-in-progress looks at the particular ways that representations and images presented on the Algarve golf websites constitute and frame identities (of people and places) and socio-spatial relationships. This paper analyses a corpus of 45 texts collected from official websites of the 40 Algarve golf courses and from five entities which promote the Algarve as a golf destination, along with the golf images that are displayed alongside them. Findings point to salient discursive and visual representations of a global setting enjoyed by the global elite. Whereas the courses‟ positioning in relation to their regional competitors draws on similar discursive strategies which reflect those used in tourism advertising discourses in general – e.g. reiteration of explicit comparisons, superlatives and hyperbolic statements -, representations of local emplacedness are not salient; in some cases local place seems to have been almost intentionally suppressed.
Resumo:
Tese dout., Economia, Universidade do Algarve, 2010
Resumo:
Revenue Management’s most cited definitions is probably “to sell the right accommodation to the right customer, at the right time and the right price, with optimal satisfaction for customers and hoteliers”. Smart Revenue Management (SRM) is a project, which aims the development of smart automatic techniques for an efficient optimization of occupancy and rates of hotel accommodations, commonly referred to, as revenue management. One of the objectives of this project is to demonstrate that the collection of Big Data, followed by an appropriate assembly of functionalities, will make possible to generate a Data Warehouse necessary to produce high quality business intelligence and analytics. This will be achieved through the collection of data extracted from a variety of sources, including from the web. This paper proposes a three stage framework to develop the Big Data Warehouse for the SRM. Namely, the compilation of all available information, in the present case, it was focus only the extraction of information from the web by a web crawler – raw data. The storing of that raw data in a primary NoSQL database, and from that data the conception of a set of functionalities, rules, principles and semantics to select, combine and store in a secondary relational database the meaningful information for the Revenue Management (Big Data Warehouse). The last stage will be the principal focus of the paper. In this context, clues will also be giving how to compile information for Business Intelligence. All these functionalities contribute to a holistic framework that, in the future, will make it possible to anticipate customers and competitor’s behavior, fundamental elements to fulfill the Revenue Management
Resumo:
Mestrado em Ciências Económicas e Empresariais, Faculdade de Economia, Univ. do Algarve, 2004