866 resultados para tourism entreneurship


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This paper examines a series of strategic initiatives that have been undertaken by Tourism Queensland (TQ), a State Tourism Organization in Australia, to develop tourism and in particular to develop networks in tourism destinations. This paper firstly examines the nature of sustainable urban tourism (SUT) and discusses approaches to defining it. It suggests that developing SUT requires a generic approach to improving sustainable tourism operations amongst all suppliers in an urban area. Further, this approach suggests that best practice in marketing and policy development can be adopted to attract tourists to a SUT destination and examples of this approach are provided.

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The international tourism system has deeply undergone structural changes in the last decades which not remain outside the subsystem higher education in tourism, especially in the European case. This article has two objectives: firstly, describes the European higher education area and the objectives, skills and subjects taught in the main Spanish universities that offer higher education in tourism. On the other hand, in the light of knowledge that researchers' descriptive models, provide experience of the implementation of European credit and thorough a deeply review of the literature on the topic higher education in tourism, to propose strategies that will enable other tourism higher education systems approach to the European reality. These policy proposals are aimed at agents and elements from higher education in tourism subsystem and they specifically include: the institutions providing education in tourism, the curriculum, the teaching methods, teachers and students.

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This article presents the results of a review of the literature on tourism from 2005 to 2009. Precisely, 1,648 articles were reviewed and classified into eight macro-lines of research. The content of the Strategy macro-line was analyzed in greater depth, as it was considered to be an "umbrella" for the other dimensions pertinent to tourism. The literature thus provided significant elements confirming the appropriateness of the strategic network perspective for research on sustainable tourism management, and it also helped identify the actors that are most critical for leading the development of a tourist destination.

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This paper aims to evaluate the social impacts of the Tourism Development Program (Prodetur) in the northeastern town of Porto Seguro, Bahia, Brazil. The method used is based on the difference in difference technique applied to the 1991 and 2000 Census microdata. The results suggest social advances following from poverty relief based on income - where the benefits are distributed, generally, in a relatively equal manner between the native and migrant population. There is a relative deterioration in the sanitary situation, which consists of a very serious problem in the mid- and long-term, whose costs are mostly borne by the native population. Therefore, maintaining the natural capital is the main aspect that distances Porto Seguro’s tourism supply from the concept of sustainability. The article also relies on difference in difference estimators to assess the impacts of local public policies related to the sector.

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Recommendation systems have been growing in number for the last fifteen years. To evolve and adapt to the demands of the actual society, many paradigms emerged giving birth to even more paradigms and hybrid approaches. Mobile devices have also been under an incredible growth rate in every business area, and there are already lots of mobile based systems to assist tourists. This explosive growth gave birth to different mobile applications, each having their own advantages and disadvantages. Since recommendation and mobile systems might as well be integrated, this work intends to present the current state of the art in tourism mobile and recommendation systems, as well as to state their advantages and disadvantages.

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Many current e-commerce systems provide personalization when their content is shown to users. In this sense, recommender systems make personalized suggestions and provide information of items available in the system. Nowadays, there is a vast amount of methods, including data mining techniques that can be employed for personalization in recommender systems. However, these methods are still quite vulnerable to some limitations and shortcomings related to recommender environment. In order to deal with some of them, in this work we implement a recommendation methodology in a recommender system for tourism, where classification based on association is applied. Classification based on association methods, also named associative classification methods, consist of an alternative data mining technique, which combines concepts from classification and association in order to allow association rules to be employed in a prediction context. The proposed methodology was evaluated in some case studies, where we could verify that it is able to shorten limitations presented in recommender systems and to enhance recommendation quality.

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Recommendation systems have been growing in number over the last fifteen years. To evolve and adapt to the demands of the actual society, many paradigms emerged giving birth to even more paradigms and hybrid approaches. These approaches contain strengths and weaknesses that need to be evaluated according to the knowledge area in which the system is going to be implemented. Mobile devices have also been under an incredible growth rate in every business area, and there are already lots of mobile based systems to assist tourists. This explosive growth gave birth to different mobile applications, each having their own advantages and disadvantages. Since recommendation and mobile systems might as well be integrated, this work intends to present the current state of the art in tourism mobile and recommendation systems, as well as to state their advantages and disadvantages.

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In this paper we present a mobile recommendation and planning system, named PSiS Mobile. It is designed to provide effective support during a tourist visit through context-aware information and recommendations about points of interest, exploiting tourist preferences and context. Designing a tool like this brings several challenges that must be addressed. We discuss how these challenges have been overcame, present the overall system architecture, since this mobile application extends the PSiS project website, and the mobile application architecture.

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Copyright © 2013 Springer Netherlands.

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Mestrado em Engenharia Informática

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Predators and Tourism Increase Intolerance? A. Treves and J. Bruskotter Perspective in Ecology "Tolerance for Predatory Wildlife" (2 May, 344: 476) suggest that intolerance for predators do not fit into the conventional view of perceived threats for livelihoods but instead by complex social factors. Although the above perspective focuses in jaguars, wolves, lions and bears, the same reasoning is perfectly applied to other economical contexts and different human-wildlife interactions. Nature tourism is a growing industry attracting a significant number of people to exotic places to see wildlife and, of course, many predators are on the main "menu". [...].

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Tese de Doutoramento, Ciências Económicas e Empresariais (especialidade de Economia), 18 de Junho de 2015, Universidade dos Açores

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55th European Regional Science Association Congress, Lisbon, Portugal (25-28 August 2015).

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

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Context-aware recommendation of personalised tourism resources is possible because of personal mobile devices and powerful data filtering algorithms. The devices contribute with computing capabilities, on board sensors, ubiquitous Internet access and continuous user monitoring, whereas the filtering algorithms provide the ability to match the profile (interests and the context) of the tourist against a large knowledge bases of tourism resources. While, in terms of technology, personal mobile devices can gather user-related information, including the user context and access multiple data sources, the creation and maintenance of an updated knowledge base of tourism-related resources requires a collaborative approach due to the heterogeneity, volume and dynamic nature of the resources. The current PhD thesis aims to contribute to the solution of this problem by adopting a Crowdsourcing approach for the collaborative maintenance of the knowledge base of resources, Trust and Reputation for the validation of uploaded resources as well as publishers, Big Data for user profiling and context-aware filtering algorithms for the personalised recommendation of tourism resources.