Enlightening tourism -- V. 14, n. 2 (2024)

Permanent URI for this collectionhttps://hdl.handle.net/10272/24253

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    Natural Attractions And E-Wom: Drivers Of Destination Love In Indonesian Campervan Tourism
    (Universidad de Huelva, 2024) Nuh, Ahmad; Rizan, Mohamad; Sadat, Andi Muhammad
    The study aims to explore the impact of natural attractions, electronic word-of-mouth (e-WOM), and satisfaction on destination love within the context of campervan tourism in Indonesia. The research utilized a sample of 483 respondents from Jakarta and other cities in Indonesia and employed structural equation modeling (SEM) using partial least squares (PLS) to test eight hypotheses. The findings indicate that natural attractions, e-WOM, and satisfaction have a significant positive effect on destination love. Specifically, natural attractions have a strong positive influence on destination love, satisfaction has a weak positive effect on destination love, and e-WOM has a strong positive effect on both destination love and satisfaction. The study conducted a multi-group analysis and found no significant difference between male and female respondents in their perspectives on the eight hypotheses. It extends previous theories by demonstrating that satisfaction alone is not sufficient to predict destination love, suggesting that other factors, such as natural attractions and e-WOM, play significant roles in influencing emotional attachment. The study's findings recommend that tourism marketers, destination operators, and researchers utilize insights on natural attractions and electronic word-of-mouth (e-WOM) to improve marketing strategies, enhance visitor experiences, and deepen the understanding of destination love and loyalty.
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    Unveiling astrotourists’ profiles. Activities, motivations, economic and social benefits and experiences
    (Universidad de Huelva, 2024) Solano Sánchez, Miguel Ángel; Aja Valle, Jaime; Arteaga Sánchez, Rocío; López Guzmán, Tomás
    This research aims to determine the variations that occur in the socio-demographic profile (gender, age, educational level and income) of the visitor interested in astrotourism based on some questions about the activities they carry out related to astronomy, motivations, economic and social benefits and the assessment of experiences about astrotourism through data gathered by a questionnaire. An artificial neural network is developed to generate potential “identikits” or estimated profiles of astrotourists based on the replies incorporated into the model and easily customisable by the researcher, which is especially useful in developing products and services adapted to astrotourism