The Influence of Hotel Website Design Quality, Perceived Ease of Use and Perceived Usefulness on Loyalty Intention

Bahari, Khairil Anuar; Abdullah, Dahlan; Kamal, Saiful Bahri Mohd; Johari, N. R.; Zulkafli, M. S.

doi:10.7456/1080sse/102

Cited by 9 publications

(6 citation statements)

References 11 publications

(14 reference statements)

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“…Thus, hypothesis 6 (H6) is not supported. This finding is different from previous studies (Bahari et al, 2018;Khan & Khan, 2020;Wilson et al, 2021), which state that perceived ease of use has a significant effect on loyalty. However, a study found that perceived ease of use has no impact on loyalty to social media users based on Online Brand Community (Potgieter & Naidoo, 2017) The perceived ease of use in conducting transactions using e-commerce, apparently does not necessarily make millennials loyal.…”

Section: Discussioncontrasting

confidence: 99%

Predicting Millennials E-Loyalty Through Compatibility and Innovativeness on E-Commerce

Usadi²,

Wibawa³

2022

JICP

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Millennials have dominated the use of ecommerce. They tend to have characters with lower levels of loyalty to products or services. This will be a problem if ecommerce companies are unable to read the personal characteristics of its users. Millennials users are known to have innovativeness which is explained in their enjoyment of learning new systems. This perception also reflected through their assumptions about ease of use and usefulness of an e-commerce platforms. This study aims to examine the effect of perceived compatibility and perceived innovativeness to e-loyalty through perceived ease of use and perceived usefulness on millennials e-commerce users. Data are collected from 217 millennial customer's using purposive sampling method. Path analysis were done using SPSS Statistics 22. The results revealed both of perceived compatibility and perceived innovativeness affected eloyalty significantly through perceived usefulness. The results of this study shows that ease of use does not necessarily make users loyal, because there are several other important factors such as price, promotion, service quality.

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Section: Discussioncontrasting

confidence: 99%

Predicting Millennials E-Loyalty Through Compatibility and Innovativeness on E-Commerce

Usadi²,

Wibawa³

2022

JICP

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“…Wakefield et al (2004) in K. A. [8] stated the technological aspect of a website such as layout, appearance, and navigation. The method used to measure the quality of a website is based on the perception of the end-users [9].…”

Section: Website Design Qualitymentioning

confidence: 99%

The Effects of Website Design Quality and Service Quality on Repurchase Intention Among Shopee Customers in Jakarta, with Customer Trust as a Mediating Variable

Priscillia¹,

Budiono²,

Wiyanto³

et al. 2021

Proceedings of the Ninth International Conference on Entrepreneurship and Business Management (ICEBM 2020)

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This study aimed to analyze the effects of website design quality and service quality on customer trust, in which customer trust is a determinant of repurchase intention. Meanwhile, website design quality and service quality are also the predictors of repurchase intention through customer trust among the Shopee customers in Jakarta. The data collection technique was carried out using a questionnaire and distributed through online social media. This study used 170 respondents acquired through convenience-sampling technique. Data was analyzed using PLS-SEM. The result of this research is that website design quality and service quality positively affect customer trust, customer trust positively affects repurchase intention, website design quality and service quality positively affect repurchase intention through customer trust as a mediating variable.

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“…Mustapha and Obid [35] showed a direct positive relationship between online tax service quality and perceived ease of use. Bahari et al [36] showed a similar result in their hotel website design studies. Li and Shang [37] suggested that e-government service quality affected perceived service value.…”

Section: Hypothesis 31 (H31) Confirmation Has a Positive And Significant Effect On Perceived Value Hypothesis 32 (H32) Confirmation Has Amentioning

confidence: 54%

Understanding Agri-Food Traceability System User Intention in Respond to COVID-19 Pandemic: The Comparisons of Three Models

Tseng

Lee

Chen

et al. 2022

IJERPH

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Scientists believed the outbreak of COVID-19 could be linked to the consumption of wild animals, so food safety and hygiene have become the top concerns of the public. An agri-food traceability system becomes very important in this context because it can help the government to trace back the entire production and delivery process in case of food safety concerns. The traceability system is a complicated digitalized system because it integrates information and logistics systems. Previous studies used the technology acceptance model (TAM), information systems (IS) success model, expectation confirmation model (ECM), or extended model to explain the continuance intention of traceability system users. Very little literature can be found integrating two different models to explain user intention, not to mention comparing three models in one research context. This study proposed the technology acceptance model (TAM), technology acceptance model-information systems (TAM-IS) success, and technology acceptance model-expectation confirmation model (TAM-ECM) integrated models to evaluate the most appropriate model to explain agri-food traceability system during the COVID-19 pandemic. A questionnaire was designed based on a literature review, and 197 agri-food traceability system users were sampled. The collected data were analyzed by partial least square (PLS) to understand the explanatory power and the differences between the three models. The results showed that: (1) the TAM model has a fair explanatory power of continuance intention (62.2%), but was recommended for its’ simplicity; (2) the TAM-IS success integrated model had the best predictive power of 78.3%; and (3) the system providers should raise users’ confirmation level, so their continuance intention could be reinforced through mediators, perceived value, and satisfaction. The above findings help to understand agri-food traceability system user intention, and provide theoretical and practical implications for system providers to refine their system design.

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The Influence of Hotel Website Design Quality, Perceived Ease of Use and Perceived Usefulness on Loyalty Intention

Cited by 9 publications

References 11 publications

Predicting Millennials E-Loyalty Through Compatibility and Innovativeness on E-Commerce

Predicting Millennials E-Loyalty Through Compatibility and Innovativeness on E-Commerce

The Effects of Website Design Quality and Service Quality on Repurchase Intention Among Shopee Customers in Jakarta, with Customer Trust as a Mediating Variable

Understanding Agri-Food Traceability System User Intention in Respond to COVID-19 Pandemic: The Comparisons of Three Models

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