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Repeated behaviour and destination loyalty

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  • Meleddu, Marta
  • Paci, Raffaele
  • Pulina, Manuela

Abstract

This study analyses tourists' stated loyalty to a tourism destination within a multidimensional framework and with various definitions of loyalty. The empirical data were collected via a survey administered at the end of a trip at the main ports and airports on the island of Sardinia during the low and high seasons, in 2012. A logit specification is employed to estimate the factors influencing loyalty, defined as both the unconditional and conditional probability of returning to Sardinia. The empirical findings highlight that overall satisfaction and several satisfaction items are key determinants of the stated loyalty. Also, the past loyalty to the destination is a significant factor that positively influences future behaviour. The same factors also affect recommendation to visit the destination.

Suggested Citation

  • Meleddu, Marta & Paci, Raffaele & Pulina, Manuela, 2015. "Repeated behaviour and destination loyalty," Tourism Management, Elsevier, vol. 50(C), pages 159-171.
    • Handle: RePEc:eee:touman:v:50:y:2015:i:c:p:159-171
    DOI: 10.1016/j.tourman.2015.01.032
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    Cited by:

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    3. Meleddu, Marta & Pulina, Manuela, 2016. "Evaluation of individuals’ intention to pay a premium price for ecotourism: An exploratory study," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 67-78.
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    5. Anamaria-Cătălina Radu & Ivona Stoica (Răpan) & Aida Catanã & Andra-Victoria Radu & Monica-Lavinia Dan, 2021. "European Funds in Tourism Sustainability—A Case Study of Beneficiaries’ Satisfaction Regarding the Process of Accessing," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    6. Pakhalov, Alexander & Rozhkova, Natalia, 2020. "Escape rooms as tourist attractions: Enhancing visitors’ experience through new technologies," MPRA Paper 100678, University Library of Munich, Germany.
    7. Mainolfi, Giada & Marino, Vittoria, 2020. "Destination beliefs, event satisfaction and post-visit product receptivity in event marketing. Results from a tourism experience," Journal of Business Research, Elsevier, vol. 116(C), pages 699-710.
    8. Maria Giovanna Brandano & Linda Osti & Manuela Pulina, 2016. "An investigation on tourism farms in South Tyrol," BEMPS - Bozen Economics & Management Paper Series BEMPS35, Faculty of Economics and Management at the Free University of Bozen.
    9. Gómez–Déniz, E. & Pérez–Rodríguez, J.V., 2019. "Modelling distribution of aggregate expenditure on tourism," Economic Modelling, Elsevier, vol. 78(C), pages 293-308.
    10. García-Almeida, Desiderio Juan & Klassen, Norbert, 2017. "The influence of knowledge-based factors on taxi competitiveness at island destinations: An analysis on tips," Tourism Management, Elsevier, vol. 59(C), pages 110-122.
    11. Xijing Cui & Gyehee Lee & Seung Jea Lee & Taegoo Terry Kim, 2019. "Structural Relationships among Antecedents to Perceived Value of Ecotourism for Sichuan Giant Pandas in China," Sustainability, MDPI, vol. 11(1), pages 1-17, January.
    12. Thomas Bausch & Andreas Humpe & Stefan Gössling, 2019. "Does Climate Change Influence Guest Loyalty at Alpine Winter Destinations?," Sustainability, MDPI, vol. 11(15), pages 1-22, August.
    13. Marina Laškarin Ažić & Jasmina Dlačić & Vlado Galičić, 2020. "Testing Different Loyalty Types in a Destination," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 32(1), pages 97-112.
    14. Wąsowicz-Zaborek Elżbieta, 2019. "Antecedents of loyalty intentions among young adult tourists: a survey," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 55(4), pages 331-345, December.
    15. Yi, Xiaoli & Fu, Xiaoxiao & Jin, Wenmin & Okumus, Fevzi, 2018. "Constructing a model of exhibition attachment: Motivation, attachment, and loyalty," Tourism Management, Elsevier, vol. 65(C), pages 224-236.
    16. Carmen Pérez-Cabañero & Amparo Cervera-Taulet & Walesska Schlesinger, 2017. "Analysis of the impact of length of stay on the quality of service experience, satisfaction and loyalty," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 14(2), pages 253-268, June.
    17. Yongjun Su & Junjie Xu & Marios Sotiriadis & Shiwei Shen, 2021. "Authenticity, Perceived Value and Loyalty in Marine Tourism Destinations: The Case of Zhoushan, Zhejiang Province, China," Sustainability, MDPI, vol. 13(7), pages 1-14, March.
    18. Pakhalov, Alexander & Rozhkova, Natalia, 2020. "Escape rooms as tourist attractions: Enhancing visitors’ experience through new technologies," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 6(2), pages 45-50.
    19. Jorge Moll-de-Alba & Lluís Prats & Lluís Coromina, 2016. "The need to adapt to travel expenditure patterns. A study comparing business and leisure tourists in Barcelona," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 6(2), pages 253-267, August.
    20. María-Dolores Sánchez-Sánchez & Carmen De Pablos-Heredero & José-Luis Montes-Botella, 2021. "The Internal Demand of Cultural Tourism: Understanding Satisfaction and Fidelity to Destination in Spain through a Non-Linear Structural Model," Sustainability, MDPI, vol. 13(23), pages 1-18, December.
    21. Guang Yang & Yan Han & Hao Gong & Tiantian Zhang, 2020. "Spatial-Temporal Response Patterns of Tourist Flow under Real-Time Tourist Flow Diversion Scheme," Sustainability, MDPI, vol. 12(8), pages 1-28, April.

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    More about this item

    Keywords

    Repeated behaviour; Satisfaction; Motivation; Recommendation; Stated loyalty;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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