By Daniel R. Fesenmaier, Zheng Xiang

This publication explores the influence of layout technological know-how and layout considering on tourism making plans, collecting contributions from top experts within the box of tourism learn and offering a complete and interconnected landscape of state-of-the-art effects that impression the present and destiny layout of vacationer locations.

The ebook builds on contemporary findings in psychology, geography and concrete and local making plans, in addition to from economics, advertising and communications, and explores the possibilities bobbing up from fresh advances within the web and similar applied sciences like reminiscence, garage, RFID, GIS, cellular and social media within the context of gathering and reading traveler-related info. It provides a huge variety of insights and situations on how sleek layout ways can be utilized to boost new and higher touristic reports, and the way they allow the tourism to trace and speak with viewers in a extra significant means and extra successfully deal with customer experiences.

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Extra resources for Design Science in Tourism: Foundations of Destination Management

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Vienna: Springer. R. , & Fesenmaier, D. R. (2010). Capturing sensory experiences through semi-structured elicitation questions. In M. Morgan, L. Lugosi, & J. R. B. ), The tourism and leisure experience: Consumer and managerial perspectives (pp. 137–160). Bristol: Channel View Publications. Hekkert, P. (2006). Design aesthetics: Principles of pleasure in design. Psychology Science, 48(2), 157. Hoch, S. , & Loewenstein, G. F. (1991). Time-inconsistent preferences and consumer selfcontrol. Journal of Consumer Research, 17, 492–507.

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Traveling the network: A proposal for destination performance metrics. International Journal of Tourism Sciences, 13(2), 57–75. , & Hagedorn-Rasmussen, P. (2008). The backstaging of experience production. In J. Sundbo & P. ), Creating experience in the experience economy (pp. 83–110). Cheltenham: Elgar. Swan, M. (2012). Sensor mania! 0. Journal of Sensor and Actuator Networks, 1(3), 217–253. Swan, M. (2013). The quantified self: Fundamental disruption in big data science and biological discovery.

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