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Fuzzy Modelling of Tourist Motivation: An Age-Related Model for Sustainable, Multi-Attraction, Urban Destinations

Author

Listed:
  • Miroslav D. Vujičić

    (Department of Geography, Faculty of Sciences, Tourism and Hotel Management, University of Novi Sad, 21000 Novi Sad, Serbia)

  • James Kennell

    (Department of Marketing, Events and Tourism, Business School, Old Royal Naval College, University of Greenwich, London SE10 9LS, UK)

  • Alastair Morrison

    (Department of Marketing, Events and Tourism, Business School, Old Royal Naval College, University of Greenwich, London SE10 9LS, UK)

  • Viachaslau Filimonau

    (Faculty of Management, Bournemouth University, Talbot Campus, Dorset House D119, Fern Barrow, Poole, Bournemouth BH12 5BB, UK)

  • Ivana Štajner Papuga

    (Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, 21000 Novi Sad, Serbia)

  • Uglješa Stankov

    (Department of Geography, Faculty of Sciences, Tourism and Hotel Management, University of Novi Sad, 21000 Novi Sad, Serbia)

  • Djordjije A. Vasiljević

    (Department of Geography, Faculty of Sciences, Tourism and Hotel Management, University of Novi Sad, 21000 Novi Sad, Serbia)

Abstract

Tourist motivation, as a core of travel behavior, significantly influences consumer intentions and has attracted academic attention for decades. A plethora of studies analyse sets of internal and external motivators, while methodologies that exclusively focus on a single factor, such as age, that can sometimes have a determining influence in multi-attraction destinations, are less prevalent. This study introduces a fuzzy logic approach to develop a new model for analysing the internal motivations of different-aged consumers in multi-attraction urban destinations. Fuzzy models, as a mathematical means of representing vagueness and imprecise information, have the capability of recognizing, representing, manipulating, interpreting, and utilizing data and information, which typically for urban tourist motivations, are vague and lack certainty. This research tests the model in a real-life setting, using the example of Novi Sad, a mid-sized European city, which is typical of many similar cities who are attempting to develop sustainable tourism by attracting older tourists. The new model shows how tourist motivations for multi-attraction destinations are affected by age, through a specially developed m-file for MATLAB, so that it can be applied and tested in other tourism contexts. Theoretical and practical implications for sustainable destination management and marketing are described.

Suggested Citation

  • Miroslav D. Vujičić & James Kennell & Alastair Morrison & Viachaslau Filimonau & Ivana Štajner Papuga & Uglješa Stankov & Djordjije A. Vasiljević, 2020. "Fuzzy Modelling of Tourist Motivation: An Age-Related Model for Sustainable, Multi-Attraction, Urban Destinations," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8698-:d:431856
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    References listed on IDEAS

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    Cited by:

    1. You-Yu Dai & An-Jin Shie & Jin-Hua Chu & Yen-Chun Jim Wu, 2022. "Low-Carbon Travel Motivation and Constraint: Scales Development and Validation," IJERPH, MDPI, vol. 19(9), pages 1-25, April.
    2. Miroslav D. Vujičić & Uglješa Stankov & Vanja Pavluković & Ivana Štajner-Papuga & Sanja Kovačić & Jovana Čikić & Nemanja Milenković & Tamara Zelenović Vasiljević, 2023. "Prepare for Impact! A Methodological Approach for Comprehensive Impact Evaluation of European Capital of Culture: The Case of Novi Sad 2022," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(2), pages 715-736, January.
    3. Milan Ćulić & Miroslav D. Vujičić & Časlav Kalinić & Milosav Dunjić & Uglješa Stankov & Sanja Kovačić & Đorđije A. Vasiljević & Željko Anđelković, 2021. "Rookie Tourism Destinations—The Effects of Attractiveness Factors on Destination Image and Revisit Intention with the Satisfaction Mediation Effect," Sustainability, MDPI, vol. 13(11), pages 1-16, May.

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