2020
DOI: 10.1504/ijtp.2020.107198
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Tourists' E-loyalty to a destination website: a case of an Iranian tourism website

Abstract: The purpose of this study is to measure the role of factors affecting E-loyalty of visitors to a Tourism Website in Iran. A sample of 384 users of a destination website was analysed by using LISREL software. The results show that, except E-trust and E-commitment variables, all variables such as E-satisfaction play influential roles in E-loyalty to a destination website.

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Cited by 6 publications
(8 citation statements)
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“…From the behavioural point of view, online loyalty refers to the repetitive behaviour of consumers. As an attitude, which is the most widespread meaning in the literature, online loyalty is related to consumers' predisposition or intention to repeat using the site or recommend it to others [6,7,28]. The predominance of an attitudinal approach to loyalty is based on the difficulty of measuring past and present online loyalty behaviour.…”
Section: Theoretical Reviewmentioning
confidence: 99%
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“…From the behavioural point of view, online loyalty refers to the repetitive behaviour of consumers. As an attitude, which is the most widespread meaning in the literature, online loyalty is related to consumers' predisposition or intention to repeat using the site or recommend it to others [6,7,28]. The predominance of an attitudinal approach to loyalty is based on the difficulty of measuring past and present online loyalty behaviour.…”
Section: Theoretical Reviewmentioning
confidence: 99%
“…More recent studies on website loyalty have considered the limitations mentioned above and have focused on developing models with greater predictive power [4,7,57]. In many cases, these models have maintained the theoretical basis of the reference models and have incorporated new variables and relationships [48,58].…”
Section: Theoretical Reviewmentioning
confidence: 99%
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“…Up till now, academicians studied the impact of various factors on repurchase intention (Bamossy and Solomon, 2016;Hussain, 2017). For instance, various researcher assesses the impact of perceived risk factor (Sulastri, 2017;Sullivan and Kim, 2018), trust (Aslam et al, 2018;Lim et al, 2019;Subawa et al, 2020), satisfaction (Geraldine and Laurent, 2019;Nhĩ, 2019;Wirapraja and Subriadi, 2019) and perceived price (Graciola et al, 2018) and (Aony, 2019) on repurchase intention; following that a few of them investigate the effect of income (Diegmann et al, 2018) and e-servicescape (Aprianti and Rachmawati, 2020;Gharibi et al, 2020) on repurchase intention. Although, Hashim and Abd Rahman (2016) suggests that Designomic variable which is implication of design in the frame of economic theories, is possibly important in affecting consumer behavior, till now, no study investigates its impact on repurchase intention.…”
Section: Introductionmentioning
confidence: 99%
“…In electronic services, loyalty customers are dynamic and can change due to various factors. Based on previous literature and journals that talk about the variables that affect e-loyalty include; e-services cape (Gharibi et al, 2020); electronic trust (etrust) ( When e-service quality, including e-recovery service quality and service recovery, is felt to be lacking or bad or when customers feel a difference between expectations and reality, it can be one of the reasons customers move from one e-commerce site to e-commerce or become disloyal. Customer satisfaction is the basis of true loyalty which is influenced by service quality.…”
Section: Introductionmentioning
confidence: 99%