2014
DOI: 10.1016/j.sbspro.2014.07.288
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Service Quality and Previous Experience as a Moderator in Determining Tourists’ Satisfaction with Rural Tourism Destinations in Malaysia: A Partial Least Squares Approach

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Cited by 41 publications
(30 citation statements)
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“…To overcome any uncertainties and win the competitions marathon within the industry; a nonstop and continual improvement in the quality of offered products and services is needed. According to Rajaratnam et al (2014) in the industry of Umrah travel most of the agents deliver their customers with some common services but different service quality is the key factor in gaining competitive advantage. Due to the fact that there are many organizations offering Umrah travel services to offer their services, the customers have the opportunity to choose the agents with quality-based services with comparatively lesser prices.…”
Section: Introductionmentioning
confidence: 99%
“…To overcome any uncertainties and win the competitions marathon within the industry; a nonstop and continual improvement in the quality of offered products and services is needed. According to Rajaratnam et al (2014) in the industry of Umrah travel most of the agents deliver their customers with some common services but different service quality is the key factor in gaining competitive advantage. Due to the fact that there are many organizations offering Umrah travel services to offer their services, the customers have the opportunity to choose the agents with quality-based services with comparatively lesser prices.…”
Section: Introductionmentioning
confidence: 99%
“…However, tourist past experience has been used as a key moderating variable in several studies in the past (Rajaratnam et al, 2014;Pappas et al, 2014). A moderator is a variable that influences the strength of relationship between a predictor and an outcome variable (Cohen et al, 2014)).…”
Section: Moderating Effect Of Past Visit Experiencementioning
confidence: 99%
“…Based on this methodology, the partial least squares structural equation modelling (PLS-SEM) method seems to be ideal to measure these variables through variance. PLS-SEM has already been applied to tourism research analysis related to tourist satisfaction [27] to predict attitudes toward tourism development [28] and the impacts of tourism on community participation across urban and rural world heritage sites [30].…”
Section: Model Developmentmentioning
confidence: 99%
“…Therefore, taking into account the abovementioned factors, the main goal of this study was to better understand the motivations of the travellers who visit the Royal Monastery in order to better discern how religious, cultural, social, environmental, and educational drivers share common values linked to religious experiences (e.g., spiritual health, reflection, corporal sanitation, etc.). These features were measured using techniques and methods (see the Materials and Methods section) successfully tested in works on tourist satisfaction [27] to predict attitudes toward tourism development [28] and evaluate young residents' sense of belonging to a UNESCO world heritage site [29] and the impacts of tourism on community participation when comparing urban and rural world heritage sites [30].…”
Section: Introductionmentioning
confidence: 99%