Antes de Memmo, mis apuntes estaban dispersos en PDFs. Ahora, un espacio de trabajo lo reúne todo y veo exactamente lo que me queda por estudiar.
The recent surfacing of actor-network theory (ANT) in tourism studies correlates to a rising interest in understanding tourism as emergent thorough relational practice connecting cultures, natures and technologies in multifarious ways. Despite the widespread application of ANT across the social sciences, no book has dealt with the practical and theoretical implications of using ANT in Tourism research.
This is the first book to critically engage with the use of ANT in tourism studies. By doing so, it challenges approaches that have dominated the literature for the last twenty years and casts new light on issues of materiality, ordering and networks in tourism. The book describes the approach, its possibilities and limitations as an ontology and research methodology, and advances its use and research in the field of tourism.
The first three chapters of the book introduce ANT and its key conceptual premises, the book itself and the relation between ANT and tourism studies. Using illustrative cases and examples, the subsequent chapters deal with specific subject areas like materiality, risk, mobilities and ordering and show how ANT contributes to tourism studies. This part presents examples and cases which illustrate the use of the approach in a critical way. Inherently, the study of tourism is a multi-disciplinary field of research and that is reflected in the diverse academic backgrounds of the contributing authors to provide a broad post-disciplinary context of ANT in tourism studies.
This unique book, focusing on emerging approaches in tourism research, will be of value to students, researchers and academics in tourism as well as the wider Social Sciences.
Antes de Memmo, mis apuntes estaban dispersos en PDFs. Ahora, un espacio de trabajo lo reúne todo y veo exactamente lo que me queda por estudiar.
Los resúmenes de Memmo son oro antes de los exámenes. No tengo que releer 800 páginas dos semanas antes, solo las partes importantes.
El chat de IA me ha salvado la noche antes de un examen más de una vez. Sigo preguntando hasta que lo entiendo, sin esperar a que un grupo de estudio responda.
Los cuestionarios aciertan exactamente lo que necesito saber. Memmo registra dónde me atasco, así que solo practico lo que vale la pena.
Las flashcards con repetición espaciada son magia. Memmo sabe cuándo estoy a punto de olvidar algo y me lo recuerda.
Los pódcasts de IA son mis favoritos. Los escucho de camino a la universidad y obtengo un resumen sin tener que sentarme frente a un ordenador.
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