2017
DOI: 10.1016/j.tourman.2017.06.025
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Visitors’ satisfaction at managed tourist attractions in Northern Norway: Do on-site factors matter?

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Cited by 60 publications
(43 citation statements)
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“…Another study [7] also reported that tourists assess natural areas and their gateway cities differently with the former being more likely to create a positive image than the latter. Locations with different types of on-site factors (i.e., presentation platform and support services) have also been found to influence visitors' perceptions and satisfaction [48].…”
Section: Discussionmentioning
confidence: 99%
“…Another study [7] also reported that tourists assess natural areas and their gateway cities differently with the former being more likely to create a positive image than the latter. Locations with different types of on-site factors (i.e., presentation platform and support services) have also been found to influence visitors' perceptions and satisfaction [48].…”
Section: Discussionmentioning
confidence: 99%
“…Its location where is not too far from other public center indicated by existence of cellular network which can be easily accessed by tourists at Bukit Jaddih karst. Several tourism areas along with various information and promotion facilities that are managed organically or privately, require fast and growing mobile network access [16,17].…”
Section: Resultsmentioning
confidence: 99%
“…Advances in information, such as the internet and mobile phone networks can make it easier for travelers to visit and receive accommodation services directly [17]. Diversification of attraction allows visitors to be more satisfied and experience a unique, educated, and well organized tourism atmosphere [14].…”
Section: Resultsmentioning
confidence: 99%
“…There are many different methods that have been used in the research of visitor satisfaction and data analyses for this purposes. Above basic statistics it is possible to mention for example structural equation modelling (del Río, Agüera, Cuadra, & Morales, 2017;Romão et al, 2014), path analysis (Matzler et al, 2007), formative modelling (Cong, 2016) or common statistical method, such as paired/independent-samples t-test, one-way analysis of variance (ANOVA), regression and correlation (Agyeiwaah, Adongo, Dimache, & Wondirad, 2016;Parola, Satta, Penco, & Persico, 2014), Item-Objective Congruency (IOC) index (Choovanichchannon, 2015), exploratory factor analyses (EFAs), principal components analyses with Varimax rotation and MANOVA (Jensen, Li, & Uysal, 2017) or hybrid text mining methodology using artificial intelligence (Kim, Park, Yun, & Yun, 2017).…”
Section: Visitors' Satisfactionmentioning
confidence: 99%