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Smart Tourism: Towards the Concept of a Data-Based Travel Experience

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Handbook of Sustainable Development and Leisure Services

Part of the book series: World Sustainability Series ((WSUSE))

Abstract

The main purpose of the chapter is to identify the potential of big data analysis (BDA) as a tool to enhance the tourism experience by offering products/services that are more personalised to meet each visitor’s unique needs and preferences, as well as to counteract the negative effects of overtourism. The literature review was adapted to define and estimate the significance of data-based experience management. Some examples of big data (BD) application in travel and tourism were identified (e.g. a predictive tourism experience, Internet-based tourist involvement and co-creation, personalisation of the value proposal, effectiveness improvement and promotion enhancement).

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Author information

Authors and Affiliations

  1. Department of Business in Transport, SGH Warsaw School of Economics, Al. Niepodległości 162, 02-554, Warsaw, Poland

    Magdalena Kachniewska

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  1. Magdalena Kachniewska
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Correspondence to Magdalena Kachniewska .

Editor information

Editors and Affiliations

  1. Department of Consumer Behaviour Research, SGH Warsaw School of Economics, Warsaw, Poland

    Adrian Lubowiecki-Vikuk

  2. Polytechnic Institute of Cávado and Ave, Barcelos, Portugal

    Bruno Miguel Barbosa de Sousa

  3. Department of Geography, University of Novi Sad, Novi Sad, Serbia

    Bojan M. Đerčan

  4. HAW Hamburg, Hamburg, Germany

    Walter Leal Filho

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Kachniewska, M. (2021). Smart Tourism: Towards the Concept of a Data-Based Travel Experience. In: Lubowiecki-Vikuk, A., de Sousa, B.M.B., Đerčan, B.M., Leal Filho, W. (eds) Handbook of Sustainable Development and Leisure Services. World Sustainability Series. Springer, Cham. https://doi.org/10.1007/978-3-030-59820-4_19

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