Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach

Liébana‐Cabanillas, Francisco; Marinković, Veljko; Luna, Iviane Ramos de; Kalinić, Zoran

doi:10.1016/j.techfore.2017.12.015

Cited by 325 publications

(284 citation statements)

References 84 publications

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“…Some studies have investigated the relationship between online buying behavior and demand for credit card (e.g., Basnet & Donou-Adonsou, 2016;Liébana-Cabanillas, Marinkovic, de Luna, & Kalinic, 2018;Zhu, 2016). The majority of these studies have found evidence that online shopping promotes the demand for credit card.…”

Section: Introductionmentioning

confidence: 99%

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What Determines University Students’ Online Consumer Credit? Evidence From China

et al. 2019

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In recent years, online consumer credit in China has boomed. Many Chinese undergraduates are interested in utilizing online consumer credit to meet their increasing consumption needs. However, the explosion in online loans to students has created many problems. Based on a survey of 286 undergraduate students from four universities in Beijing, the capital of China, this study provides an empirical analysis of the economic and social determinants of undergraduates' consumer credit. The estimation results indicate that online consumer credit demand is positively related to years of schooling, monthly living expenses, financial support from the student's university, and consumption preferences. However, other factors, including major field of study, highest level of parental education, and advertisements in the media and on campus, have negative influences on undergraduates' online consumer credit. The findings have significant practical and policy implications. Specifically, it is necessary and important for the government, universities, and families to coordinate to guide and educate college students to utilize online loans properly and wisely.

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Section: Introductionmentioning

confidence: 99%

“…The application of Internet technology and the popularity of mobile payment methods have facilitated people to make online shopping and use the credit cards more frequently. (Liébana-Cabanillas et al, 2018). With the advancement and application of Internet Note.…”

Section: Introductionmentioning

confidence: 99%

What Determines University Students’ Online Consumer Credit? Evidence From China

et al. 2019

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“…Users prefer to have direct access to services without interaction with the provider of the technology. An average research studies has focused more on factors that encouraged the intention to adopt an electronic payment technology and finding the extent to which this factors affect intention to use the technology, a very good examples is the age of a potential user of a technology will influence his technological behavior (Liébana-Cabanillas, Marinkovic, et al, 2018). It has also been established by previous studies that a younger users are more likely to accept new innovation technologies than the old system (Liébana-Cabanillas, Muñoz-Leiva, et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

“…An average user may not trust the security of the reader in the BRT which sometimes malfunction due to the system inability to read the card successfully. Perceived security has been discovered by the past studies as the significant factors contributing or influencing acceptance intention towards electronic payment system (Liébana-Cabanillas, Marinkovic, et al, 2018). Electronic card information needs to be configured correctly by managers to avoid any misuse or attacks.…”

Section: Hypothesismentioning

confidence: 99%

“…Significant research efforts have been centered on consumer adoption of goods and services, neglecting electronic payment research which serves as one of the key factors in the payment system (Yang, S. et al2012). Lately, the payment system traditionally used in the BRT have been altered by the appearance of electronic card technology(Liébana-Cabanillas, Marinkovic, Ramos de Luna, & Kalinic, 2018), mobile payment is considered by many researchers as one of the applications with the greatest prospective in the business sector (Liébana-Cabanillas, Marinkovic, et al, 2018). Cash transactions are considered to require huge cost of printing new notes and destroying mutilated ones, but the evolution of the electronic card payment system reduces existence of note money and thereby leads to economic gains for the government (Tan & Tan, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Usage of E-Payment on Bus Rapid Transit (BRT): An Empirical Test, Public Acceptance and Policy Implications in Lagos, Nigeria

Alademomi¹,

Rufai²,

Teye³

et al. 2019

IJBSS

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Despite the fact that, electronic payment system has received so much attention from various researchers around the globe; in practice, there is still lack of acceptance in electronic payment system among the users in most developing economies considering its convenience and usefulness. Trust has been proposed as a crucial determinant for human decision on acceptance, yet just a couple of studies have investigated its role on electronic payment system. The major focus of this research was to test the role of trust as a mediator factor in determining acceptance of electronic payment in BRT system. Drawing on technology acceptance model (TAM) and the theory of planned behavior propounded by (Buckley et al. 2018), we empirically test the effectiveness of trust as a mediator using 356 survey data and verify the validity and reliability to provide evidence on the proposed hypothesis in this study through structural equation modeling (LISREL). The result indicated strong support for the effects of perceived security and perceived ease of use while perceived usefulness did not find support on the outcome. Most importantly, trust was found to significantly influenced acceptance of electronic payment system. The research findings suggest a positive means to encourage acceptance of electronic payment system for BRT users.

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Adoption of Fintech

Pushpa,

Jaheer Mukthar,

Ramya

et al. 2023

Fintech and Cryptocurrency

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Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach

Cited by 325 publications

References 84 publications

What Determines University Students’ Online Consumer Credit? Evidence From China

What Determines University Students’ Online Consumer Credit? Evidence From China

Usage of E-Payment on Bus Rapid Transit (BRT): An Empirical Test, Public Acceptance and Policy Implications in Lagos, Nigeria

Adoption of Fintech

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