Research in Electronic and Mobile Payment Systems: A Bibliometric Analysis

Tounekti, Oussama; Ruiz‐Martínez, Antonio; Skarmeta-Gómez, Antonio F.

doi:10.3390/su14137661

Cited by 3 publications

(1 citation statement)

References 71 publications

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“…According to a survey, using food services was encouraged by special discount coupons (20.5%), discounts (22.4%), and extra benefits like two for the price of one (33.3%) ((Czarniecka-Skubina et al, 2021). Another study showed that offering customers a variety of payment alternatives will help them use the FDA more frequently(Tounekti et al, 2021;Tounekti et al, 2022).…”

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Factors Influencing Online Food Delivery Apps Use During COVID-19 Lockdown among Female College Students in Bangladesh

Parvin

2022

ARSS

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The government imposed a lockdown in 2020 and on the second wave of the pandemic in April 2021, which was extended for a few months later, when Bangladesh first confirmed a COVID-19 positive case. Young adults' food intake was greatly impacted by their social isolation, particularly female university students, who began to employ mobile-based food delivery apps (FDAs) and online meal delivery services. This study's goal was to pinpoint the variables that affect consumers' decision to use FDAs during the COVID-19 epidemic. Data were gathered from seven female users in Dhaka, and numerous categories of the elements discovered in the study were thematically evaluated. The findings demonstrated a relationship between behavior and continued desire to use mobile-based FDAs and subjective norms, attitudes, and consumer perceptions of price, delivery time, e-service quality, past experiences, food quality, payment methods, and trust. The study's findings also guarantee that consumers will use FDAs with satisfaction and loyalty. While conducting, the study encountered minor restrictions. Future research should focus on the contributions that FDAs make in various contexts, use comparisons and descriptions, and customer usage intentions throughout time to promote FDAs in the global economy.

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Factors Influencing Online Food Delivery Apps Use During COVID-19 Lockdown among Female College Students in Bangladesh

Parvin

2022

ARSS

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Examining user behavior with machine learning for effective mobile peer-to-peer payment adoption

Antonio,

Juan,

Ana

et al. 2024

Financ Innov

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Disruptive innovations caused by FinTech (i.e., technology-assisted customized financial services) have brought digital peer-to-peer (P2P) payments to the fore. In this challenging environment and based on theories about customer behavior in response to technological innovations, this paper identifies the drivers of consumer adoption of mobile P2P payments and develops a machine learning model to predict the use of this thriving payment option. To do so, we use a unique data set with information from 701 participants (observations) who completed a questionnaire about the adoption of Bizum, a leading mobile P2P platform worldwide. The respondent profile was the average Spanish citizen within the framework of European culture and lifestyle. We document (in this order of priority) the usefulness of mobile P2P payments, influence of peers and other social groups such as friends, family, and colleagues on individual behavior (that is, subjective norms), perceived trust, and enjoyment of the user experience within the digital context and how those attributes better classify (potential) users of mobile P2P payments. We also find that nonparametric approaches based on machine learning algorithms outperform traditional parametric methods. Finally, our results show that feature selection based on random forest, such as the Boruta procedure, as a preprocessing technique substantially increases prediction performance while reducing noise, redundancy of the resulting model, and computational costs. The main limitation of this research is that it only has a place within the sociocultural and institutional framework of the Spanish population. It is therefore desirable to replicate this study by surveying people from other countries to analyze the effects of the institutional environment on the adoption of mobile P2P payments.

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Post-Covid-19: Leveraging Digital Payment Services for a Sustainable Future Through Bibliometric Analysis

Bhopal,

Devi

2024

Preprint

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Research in Electronic and Mobile Payment Systems: A Bibliometric Analysis

Cited by 3 publications

References 71 publications

Factors Influencing Online Food Delivery Apps Use During COVID-19 Lockdown among Female College Students in Bangladesh

Factors Influencing Online Food Delivery Apps Use During COVID-19 Lockdown among Female College Students in Bangladesh

Examining user behavior with machine learning for effective mobile peer-to-peer payment adoption

Post-Covid-19: Leveraging Digital Payment Services for a Sustainable Future Through Bibliometric Analysis

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