Aplicação de métodos de customer relationship management ao tratamento de dados para o desenvolvimento de negócios

Tese de Doutoramento, Gestão, na especialidade de Marketing, Faculdade de Economia, Universidade do Algarve, 2007

Co-creation of tourism experience: attention, involvement and memorability

Tese de Doutoramento, Turismo, Faculdade de Economia, Universidade do Algarve, 2016

Sistemas de informação para a gestão turística

Nowadays, to be competitive in society means to have a technological framework that fi ts customer responses. In tourism, the need for ICT (Information and Communication Technologies) is even more important, since to sell the tourist product it is crucial to disclose the information that characterizes it, plus, it is necessary to organize, manage and deal with it in accordance with the tourists’ expectations. After the tourist product has been consumed, it is important to share the experience with other travellers. The process of purchase and consumption of a tourist product is possible only if tourists and professionals have access to the information required, and for this it is necessary to use systems that can: manage results, flights and customer loyalty, distribute information and travel planning, among other things. All these systems have tourist information management in common, which leads to the conclusion that they are indispensable to tourism. This paper presents several information systems that coexist in the tourism sector, as well as those used in tourist distribution channels. Finally we show the trends that these systems are causing in tourism.

Big data warehouse framework for smart revenue management

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