An Investigation into the Acceptance of Mobile Wallets in the FinTech Era: An Empirical Study from Kuwait

Rabaa'i, Ahmad A.

doi:10.1504/ijbis.2021.10038422

Cited by 18 publications

(20 citation statements)

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“…Based on the analysis, the study suggests that the PE for WPDs was found to have a positive and statistically significant impact on the users’ intention to use WPD. The result was consistent with the majority of previous research works in the areas of m-payments [ 8 , 15 , 17 , 23 ], e-wallet [ 18 ], m-wallet [ 22 ], m-banking [ 29 ], and wearable payment devices [ 34 ]. Contactless payment systems have been widely accepted in China due to the consumers’ belief that contactless payments are perceived as having the performance expectancy to deliver the best services to the users.…”

Section: Discussionsupporting

confidence: 92%

“…Provided that the WPD development was in the preliminary stage in China, a high level of ambiguity was found among the respondents regarding the payment method. Similar findings were recorded in the previous studies of m-payment [ 1 , 15 , 33 ], e-wallet, and m-wallet [ 18 , 22 ], specifically the WPD study [ 34 ]. Customers opt to utilise the WPD that they regard with high confidence and consider authentic and reliable.…”

Section: Discussionsupporting

confidence: 89%

“…Individuals’ trust is essential as it diminishes consumers’ concerns, anxieties, and doubts, which improves adoption intentions [ 38 ]. Previous research on m-payments [ 1 , 15 , 33 ], e-wallets [ 18 ], mobile money [ 27 ], m-wallets [ 22 ], mobile-banking [ 29 ], and wearable payment [ 34 ] demonstrated the significant impact of PT. The following hypothesis was established in this study based on the evidence of contactless payment technologies from previous studies:…”

Section: Literature Reviewmentioning

confidence: 99%

“…Contactless payment systems that operate on wearable smart devices on the wrist by simply waving contribute to a convenient payment method, which allows customers to pay for purchases using single gestures [2]. Numerous empirical studies have proven that EE is a strong predictor of consumers' intent to use contactless payments, including M-payments [17,24,33], e-wallets [18], and wearable payment [34]. Therefore, to examine the impact of EE on the adoption intention of WPD, the following hypothesis was established: H2: EE positively influences the intention to adopt WPD.…”

Section: Effort Expectancy (Ee)mentioning

confidence: 99%

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Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach

Mamun

Hayat

et al. 2022

PLoS ONE

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Wearable payment devices (WPD) are gaining acceptance fast and transforming everyday life and commercial operations in China. Limited research works were conducted on customers’ adoption intentions to obtain a real image of the evolution of WPD in China. This study aims to investigate the effects of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Perceived Trust (PT), and Lifestyle Compatibility (LC) on the intention to adopt WPD among Chinese consumers by expanding unified theory of acceptance and use of technology with two impelling determinants (i.e. PT and LC). Using an online survey, empirical data were collected from 298 respondents in China. In a two-stage data analysis, partial least squares structural equation modelling (PLS-SEM) were employed to analyse the causal effects and associations between independent and dependent variables, whereas artificial neural networks (ANN) were used to evaluate the research model prediction capability. The (PLS-SEM) findings indicated that PE, SI, FC, HM, LC, and PT had substantial positive impacts on adoption intention, whilst EE had no impact on adoption intention among Chinese consumers. The ANN analysis proved the high prediction accuracy of data fitness, with ANN findings highlighting the importance of PT, FC, and PE on the intention to adopt WPD. It was suggested that the study findings assist WPD service providers and the smart wearable device industry practitioners in developing innovative products and implementing efficient marketing strategies to attract the existing and potential WPD users in China.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 89%

Section: Literature Reviewmentioning

confidence: 99%

Section: Effort Expectancy (Ee)mentioning

confidence: 99%

See 2 more Smart Citations

Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach

Mamun

Hayat

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The result shows that social influence has no significant influence over the adoption of Fintech payment services. Studies by Ahmad et al (2021); Handarkho et al (2021); Rabaai (2021); Tohang et al (2021) also found similar results on the social influence aspect. This shows that fresh graduates are not pressured by their social environment to adopt the use of Fintech payment services.…”

Section: Discussionsupporting

confidence: 65%

Fintech Payment Services among Fresh Graduates: The UTAUT Model Perspective

Urus¹,

Othman²,

Nazri³

et al. 2022

IJARAFMS

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The evolvement of Fintech especially in digital payment services has affected many sectors in Malaysia. Despite the various benefits offered by Fintech, the adoption rate is still at the nascent stage especially among the IT savvy generation such as fresh graduates. The Unified Theory of Acceptance and Use of Technology (UTAUT) Model has been widely used to measure users' technology acceptance. The objective of this study is to investigate the application of UTAUT model on Fintech payment services among fresh graduates. The relationship between performance expectancy, effort expectancy, social influence, consumers' trust, and national culture is measured towards Fintech adoption. Data was collected via an online survey on a total of 176 respondents. The study revealed that performance expectancy and cultural factors individualism had significant effect on the adoption decision of digital payment services. On the other hand, the remainder of the independent variables have no significant influence over the adoption of Fintech payment services. Findings of this study contributes to the Malaysia Fintech ecosystem by providing recommendations to Fintech providers, financial institutions, and the government for policy making. The research further supports the nation's goal towards becoming a cashless society as a strategy to increase financial inclusion.

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Adoption of digital payment FinTech service by Gen Y and Gen Z users: evidence from India

Srivastava,

Mohta,

Shunmugasundaram

2023

DPRG

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Purpose This study aims to evaluate the users’ behavioral intention toward the acceptance and adoption of digital payment FinTech services in India. The study also compares the differences in Gen Y and Gen Z’s intention to adopt digital payment FinTech services. Design/methodology/approach The present study adopted both the unified theory of acceptance and use of technology (UTAUT) and the technology acceptance model (TAM) as its theoretical base and also added financial literacy and customer satisfaction. The data was analyzed by applying structural equation modeling using SmartPLS 4. Findings The outcomes of the study imply that customer satisfaction, effort expectancy and performance expectancy had a significant effect on behavioral intention. Moreover, effort expectancy, performance expectancy and perceived enjoyment had a significant influence on customer satisfaction, and effort expectancy and performance expectancy is significantly influenced by perceived enjoyment, while self-efficacy significantly influenced perceived enjoyment. Also, financial literacy does not moderate the relationship between effort expectancy, performance expectancy, facilitating condition and behavioral intention. Furthermore, the association of effort expectancy → customer satisfaction; perceived enjoyment → customer satisfaction; and perceived enjoyment → effort expectancy is moderated by age factor. Originality/value This study contributes by developing a more cohesive and unified model for assessing users’ behavioral intention toward acceptance and adoption of FinTech services by adopting constructs from the UTUAT and TAM and incorporating financial literacy and customer satisfaction to expand and enhance the theoretical prospect of the existing literature.

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An Investigation into the Acceptance of Mobile Wallets in the FinTech Era: An Empirical Study from Kuwait

Cited by 18 publications

References 0 publications

Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach

Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach

Fintech Payment Services among Fresh Graduates: The UTAUT Model Perspective

Adoption of digital payment FinTech service by Gen Y and Gen Z users: evidence from India

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