P2P Mobile Payments: Investigating the Factors of Adoption Among Students in Germany

Kleivene, Leif Erik

doi:10.1007/978-3-658-21450-0_3

Cited by 8 publications

(5 citation statements)

References 38 publications

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“…This variable is also considered the most impactful in adopting new technology. Further, Kleivene (2018) claims that perceived ease of use impacts self-efficacy and instrumentality simultaneously and affects the intention to adopt, and efficacy has been considered a motivation factor. Thus, this motivation directly impacts the intention to adopt, though perceived ease of use could also be individually assessed as an instrument to influence the intention.…”

Section: Perceived Trustmentioning

confidence: 99%

An integrated framework for mobile payment in Pakistan: drivers, barriers, and facilitators of usage behavior

et al. 2022

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The research aims to investigate the impact of theoretical drivers, facilitators, and barriers on the intention to adopt m-payment. It further examines the impact of the intention to adopt m-payment on usage behavior. Partial least squares structural equation modeling was used based on a suitable sample of 408 participants in Karachi, Pakistan. The findings contribute to a greater understanding of the factors that influence customer decision-making and, as a result, the adoption intention of mobile payment in Pakistan. Instead of relying on a single theory, the performed study presents an inclusive strategy for researchers by combining three recognized theories connected to technology acceptance. This research is conducted on a limited number of participants in Karachi, Pakistan. The survey should be conducted also be conducted internationally to obtain more comprehensive results; it could also be beneficial to determine customer preferences toward mobile payment systems in other nations. Limited literature was found that argued the intention to adopt m-payment and its impact on user behavior in the Pakistani context. Moreover, no studies were found that reflected and discussed the impact of barriers, theoretical drivers, and facilitators on m-payment.

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Section: Perceived Trustmentioning

confidence: 99%

An integrated framework for mobile payment in Pakistan: drivers, barriers, and facilitators of usage behavior

et al. 2022

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“…Also, demographic information is also collected. The research is concluded on strong positive correlation between customer relationship, brand image and loyalty [13].…”

Section: Literature Reviewmentioning

confidence: 93%

Customer churn prediction using predictive analytics in Telecommunication Market: A Review

Khan

2019

Journal of Applied and Emerging Sciences

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In the face of extreme competitive telecommunication market, the cost of acquiring new customer is much more expensive than to retain the existing customer. Therefore, it has become imperative to pay much attention towards retaining the existing customers in order to get stabilize in market comprised of vibrant service providers. In current market, a number of prevailing statistical techniques for customer churn management are replaced by more machine learning and predictive analysis techniques. This article reviews the customer churn prediction problem, factors escalating the phenomena, prediction through predictive analytics, steps for processing of predictive analytics and evaluation of performance metrics for various churn prediction models are surveyed. Moreover, the CRM data from Pakistan Telecommunication Company limited as case study to discuss the process of data mining and predictive analytics for customer churn prediction.

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“…Past studies are focused on several theories, namely “Technology acceptance model” (TAM), “Unified theory of acceptance and use of technology” (UTAUT), “Innovation diffusion theory” (IDT), “Theory of reasoned action” (TRA) in examining the attitude, intentions and adoption of M-payment (Giovanis et al. , 2021; Kleivene, 2018; Leong et al. , 2020; Sinha et al.…”

Section: Theoretical Background Proposed Research Model and Hypothese...mentioning

confidence: 99%

“…This research is based on the integrated TAM (Davis, 1985) and SOR model (Robert and John, 1982) to examine the hypothesized relations. Past studies are focused on several theories, namely "Technology acceptance model" (TAM), "Unified theory of acceptance and use of technology" (UTAUT), "Innovation diffusion theory" (IDT), "Theory of reasoned action" (TRA) in examining the attitude, intentions and adoption of M-payment (Giovanis et al, 2021;Kleivene, 2018;Leong et al, 2020;Sinha et al, 2019). Further, Anouze and Alamro (2019) established that TAM yields limited behavioral explanations.…”

Section: Theoretical Background Proposed Research Model and Hypothese...mentioning

confidence: 99%

I won't touch money because it is dirty: examining customer's loyalty toward M-payment

Goel¹,

Garg

Sharma

et al. 2021

IJBM

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PurposeSeveral industries including banking are booming because of COVID-19. However, it is still unknown whether this growth is momentary or permanent in nature. Hence, this study aims to identify the role of health-related concerns and trust as stimuli on M-payment loyalty.Design/methodology/approachData were collected through Google Forms from 431 participants. Subjects were M-payment users. The hypothesized model was tested using structural equational modeling.FindingsResults of the study indicate that perceived severity and trust act as stimuli for M-payment loyalty. Further, trust not only influences loyalty directly but also through intimacy. Additionally, no linear relationship was found between perceived usefulness and M-payment loyalty.Originality/valueThis work is an early attempt to consider health-related concerns and trust as stimuli to predict M-payment loyalty. Further, this study focused on three new constructs, namely perceived severity, perceived susceptibility and intimacy, that are underexplored in digital banking literature.

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P2P Mobile Payments: Investigating the Factors of Adoption Among Students in Germany

Cited by 8 publications

References 38 publications

An integrated framework for mobile payment in Pakistan: drivers, barriers, and facilitators of usage behavior

An integrated framework for mobile payment in Pakistan: drivers, barriers, and facilitators of usage behavior

Customer churn prediction using predictive analytics in Telecommunication Market: A Review

I won't touch money because it is dirty: examining customer's loyalty toward M-payment

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