2022
DOI: 10.3390/su14148472
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Motivations and Loyalty of the Demand for Adventure Tourism as Sustainable Travel

Abstract: Adventure tourism as a form of sustainable tourism is a potential source of social, economic, and environmental development, and the more the tourism industry is exploited in a responsible manner, the greater the development of a country. The present research proposes the following objectives: (i) to identify the motivational dimensions of demand in an adventure destination, and (ii) to determine the motivational dimensions of demand that predict the return, recommendation, and saying positive things of the ad… Show more

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Cited by 10 publications
(3 citation statements)
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References 65 publications
(94 reference statements)
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“…The operationalization of destination loyalty typically included scale items referring to recommendation or positive word-of-mouth (WOM) about the destinations, combined with other revisit intentions items within the same loyalty construct. However, some investigations specified and operationalized tourists’ recommendations or endorsements as additional, separate constructs in their models (e.g., Chebli et al, 2021 ; Kralikova et al, 2021 ; Koç et al, 2022 ; Suhartanto et al, 2022 ; Carvache-Franco et al, 2022a , b ).…”
Section: Resultsmentioning
confidence: 99%
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“…The operationalization of destination loyalty typically included scale items referring to recommendation or positive word-of-mouth (WOM) about the destinations, combined with other revisit intentions items within the same loyalty construct. However, some investigations specified and operationalized tourists’ recommendations or endorsements as additional, separate constructs in their models (e.g., Chebli et al, 2021 ; Kralikova et al, 2021 ; Koç et al, 2022 ; Suhartanto et al, 2022 ; Carvache-Franco et al, 2022a , b ).…”
Section: Resultsmentioning
confidence: 99%
“…As indicated in Table 1 , the majority of the articles reported that their survey participants were domestic tourists, which is not surprising due to travel restrictions and border closures during 2020. Indeed, most studies that used samples of international tourist respondents collected their survey data later in 2021 (e.g., Otero-Gomez and Giraldo-Perez, 2022 ; Šerić and Mikulić, 2022 ; Carvache-Franco et al, 2022a , b ). Of the reviewed studies, 7 utilized co-variance based structural equation modeling (CB-SEM), while 11 employed partial least squares structural equation modeling (PLS-SEM), in line with the growing popularity of PLS-SEM in tourism marketing research ( Hair et al, 2021 ).…”
Section: Resultsmentioning
confidence: 99%
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