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Relationship between Satisfaction and Future Behavior

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Studies have been carried out on satisfaction and international pleasure travel. Some have related satisfaction and past visits to a particular destination with intentions to recommend it, to revisit it, and to visit other destinations in its area. This study arose from reconsideration of research on satisfaction and stated intentions of travelers from Britain and Germany to Mallorca and Turkey. Analysis confirmed that satisfaction is a significant predictor of stated intentions and that contingent factors moderate the influence of satisfaction on intentions. Explaining limited variance led to the logical examination of why the explanation was not better. It is concluded that variance explanation was low because segments had particular satisfaction–likelihood relations and because satisfaction and likelihood responses were ambiguous. Sources of variation that can be controlled are identified. They include some first-time visitors not being likely to return regardless of satisfaction; personal satisfaction responses not reflecting what the party will do; and likelihood responses not having a clear meaning. Practical and research implications are presented.

Keywords: LIKELY BEHAVIOR; RECOMMENDING; RESPONSE VARIABILITY; RETURN TRAVEL; SATISFACTION

Document Type: Research Article

Publication date: 01 December 2006

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  • Established in 1996, Tourism Analysis is an interdisciplinary journal that provides a platform for exchanging ideas and research in tourism and related fields. The journal aims to publish articles that explore a broad range of research subjects, including, but not limited to, the social, economic, cultural, environmental, and psychological aspects of tourism, consumer behavior in tourism, sustainable and responsible tourism, and effective operations, marketing, and management.

    Tourism Analysis focuses on both theoretical and applied research and strives to promote innovative approaches to understanding the complex and dynamic nature of tourism, its stakeholders, businesses, and its effects on society. The journal welcomes articles on innovative research topics and methodologies beyond the traditional theory-testing sciences, such as robotics, computational sciences, and data analytics.

    Our primary goal is to contribute to the development and advancement of new knowledge in tourism while fostering critical reflections and debates on the radical changes and evolution in tourism among scholars, practitioners, policymakers, and other stakeholders.
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