Influence of Habits on Mobile Payment Acceptance: An Ecosystem Perspective

Jia, Lin; Song, Xiuwei; Hall, Dianne

doi:10.1007/s10796-020-10077-6

Cited by 23 publications

(15 citation statements)

References 89 publications

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“…This finding is found to be consistent with previous studies by Kim, S. & Malhotra, N. (2005); Yu, G., Qi, Q. & Cho, N. ( 2019) and Jia, A., Song, X. & Hall, D. (2020).…”

Section: H1 Hm1supporting

confidence: 94%

“…& Cho, N. (2019), habit has positive effects on users who use AliPay and WechatPay. Jia, A., Song, X. & Hall, D. (2020) have shown that consumers' online purchasing, mobile service use, and cell phone use habits all demonstrate a positive relationship with their mobile payment use habit, which influences their intention to continue using mobile payments.…”

Section: Development Of Hypothesesmentioning

confidence: 99%

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Factors Influencing Mobile Payment Adoption in Hong Kong: A Quantitative Study

CHU¹

2022

AJBM

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Mobile payment system is gaining increasing acceptance as a mode of payment in the current economic environment. With the growing popularity of mobile payments, it is important to identify the key factors that motivate people use mobile payment. Pinpointing such factors would allow businesses to build the right mobile payment for customer’s needs. This article relies on a novel integrated model and a qualitative method to answer the question "what are the key factors influencing Mobile Payment Adoption in Hong Kong, a global metropolis where mobile payment is making steady inroads”. This study use a quantitative approach with a sample size of 203 to investigate the Influence of eight factors on Behavioural Intention to use mobile payment. The results show that factors relating to “Hedonic Motivation”, “Habit”, “Perceived Usefulness”, “Perceived Ease of Use”, “Social Influence” and “Government Support” significantly affect the Behavioural Intention to use mobile payments to conduct online transactions, while “Perceived Risk” and “Perceived Cost” shows no significant effect. Although the TAM/UTAUT model has been extensively studied in the previous research on mobile payment services, little effort has been done to combine and investigate other influencing factors in order to test their effects on the intention to adopt mobile payment. As a result of this, this study contributed by developing and testing a novel integrated model providing a valuable guideline to help researchers looking into issues related to mobile payment services in Hong Kong.

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“…This finding is found to be consistent with previous studies by Kim, S. & Malhotra, N. (2005); Yu, G., Qi, Q. & Cho, N. ( 2019) and Jia, A., Song, X. & Hall, D. (2020).…”

Section: H1 Hm1supporting

confidence: 94%

Section: Development Of Hypothesesmentioning

confidence: 99%

Factors Influencing Mobile Payment Adoption in Hong Kong: A Quantitative Study

CHU¹

2022

AJBM

View full text Add to dashboard Cite

show abstract

“…With respect to the personal innovation of the users, a greater capacity for innovation among users will improve the intention to use the proposed payment system (Patil et al 2020 ). On the other hand, the habit that the users manifest with the repetitive use of new technologies such as the one proposed improves intention of use (Jia et al 2020 ). The manifest utility of payment systems with ocular iris scanning, where payments are made in a simpler and faster way than with other payment tools, increases intention to use, in line with previous research (Liébana-Cabanillas et al 2020a ).…”

Section: Discussionmentioning

confidence: 99%

“…Habit is a behavioural pattern in which people engage because of their past learning (Verkijika 2018 ). Repetitive use will thus improve future use (Venkatesh et al 2012 ; Jia et al 2020 ). Users who have used some novel payment service (e.g.…”

Section: Theoretical Framework Developmentmentioning

confidence: 99%

Do biometric payment systems work during the COVID-19 pandemic? Insights from the Spanish users' viewpoint

et al. 2022

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Technological developments are changing how users pay for goods and services. In the context of the COVID-19 (coronavirus disease 2019) pandemic, new payment systems have been established to reduce contact between buyer and seller. In addition to the pandemic, the future is payment processing is also uncertain due to the new EU security regulations of the Payment Services Directive (PSD2). Biometric payments one option that would guarantee the security of transactions and reduce the risk of contagion. This research analyses the intention to recommend the use of the mobile phone as a tool for collecting payments in a shop using iris reading as a biometric measure of the buyer. The moderating effect of the fear of contagion in the proposed relationships was also analysed. An online survey was carried out, which yielded a sample of 368 respondents. The results indicate that the main antecedents of intention to use, which precedes intention to recommend, are perceived trust, habit, personal innovativeness and comfort of use. Additionally, the moderating effect of COVID-19 was checked among users with a higher perception of risk. The results obtained have interesting implications for purchase management among manufacturers and retailers.

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“…DL is a general term for a class of pattern analysis methods, which mainly involves three types of methods: convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN) [ 13 ]. RNN is an artificial neural network (ANN) with a tree hierarchical structure, and the network nodes recur the input information according to its connection order.…”

Section: Methodsmentioning

confidence: 99%

Exploring Online Teaching Design of Curriculum Politics by Deep Learning and Visual Sensing Technology

Huang¹,

Xie²,

2022

Computational Intelligence and Neuroscience

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The study aims to explore the online teaching design of ideological and political education (IPE). Based on the relevant theories of deep learning (DL) and visual sensing, the students of a Chinese University are taken as the research samples and investigated by a questionnaire survey. Then, DL and visual sensing are introduced into the online teaching design of IPE, and the research conclusions are obtained. The results show that college students are interested in IPE, but there are still some problems in the actual teaching process. For example, 60% of the students do not know the learning objectives of IPE, and 19.7% are not familiar with the learning contents; based on the image semantic analysis of the curriculum of IPE, DL mainly focuses on model construction and data processing, and visual sensing is used to classify image pixels; the students’ concentration time is changed from 29 minutes to 30.4 minutes, and their efficiency of homework submission is also improved based on DL and visual sensing. The study has a great reference for ideological and political teaching in the future.

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Influence of Habits on Mobile Payment Acceptance: An Ecosystem Perspective

Cited by 23 publications

References 89 publications

Factors Influencing Mobile Payment Adoption in Hong Kong: A Quantitative Study

Factors Influencing Mobile Payment Adoption in Hong Kong: A Quantitative Study

Do biometric payment systems work during the COVID-19 pandemic? Insights from the Spanish users' viewpoint

Exploring Online Teaching Design of Curriculum Politics by Deep Learning and Visual Sensing Technology

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