Factors Determining the Continued Intention to Use Mobile Money Transfer Services (MMTS) Among University Students in Ghana

Mensah, Isaac Kofi; Luo, Chuanyong; Zeng, Guohua

doi:10.4018/ijmhci.2020010101

Cited by 23 publications

(22 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Second, Fintech investments in money transferring could help banks to decrease their costs, which is expected to have a positive influence on their sales volume. Our findings are consistent with studies such as Koomson and Ibrahim (2018), Azemi et al (2019), Asamoah et al (2020, Mensah et al (2020), Gupta et al (2019), Stulz (2019), andYao et al (2018a, b). See Tables 13, 14 and 15.…”

Section: Conclusion and Future Researchsupporting

confidence: 93%

Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach

et al. 2021

View full text Add to dashboard Cite

Financial technology (Fintech) makes a significant contribution to the financial system by reducing costs, providing higher quality services and increasing customer satisfaction. Hence, new studies play an essential role to improve Fintech investments. This study evaluates Fintech-based investments of European banking services with an application of an original methodology that considers interval type-2 (IT2) fuzzy decision-making trial and evaluation laboratory and IT2 fuzzy TOPSIS models. Empirical findings are controlled for consistency by applying the VIKOR method. Moreover, we conduct a sensitivity analysis by considering six distinct cases. This study contributes to the existing literature by identifying the most important Fintech-based investment alternatives to improve the financial performance of European banks. Our empirical findings illustrate that results are coherent, reliable, and identify “competitive advantage” as the most important factor among Fintech-based determinants. Moreover, “payment and money transferring systems” are the most important Fintech-based investment alternatives. It is recommended that, among Fintech-based investments, European banks should mainly focus on payment and money transferring alternatives to attract the attention of customers and satisfy their expectations. This is also believed to have a positive impact on the ease of bank’ receivable collection. Another important point is that Fintech-based investments in money transferring systems could help to decrease costs.

show abstract

Section: Conclusion and Future Researchsupporting

confidence: 93%

Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Having a supporting infrastructure in place will increase the people's intention to adopt new technologies (Oliveira et al, 2016). Several studies show Facilitating Conditions significantly impact the Behavioral Intention of using a certain technology (Mensah, Chuanyong, & Zeng, 2020), (Patil et al, 2020) and (Gupta, Manrai, & Goel, 2019).…”

Section: The Impact Of Facilitating Conditions On Behavioral Intentionmentioning

confidence: 99%

Factors Influencing the Adoption of Mobile Payment Method among Generation Z: the Extended UTAUT Approach

Nur

Panggabean

2021

JAROE

View full text Add to dashboard Cite

Objective– Rapid advances in financial technology have tremendously changed both the way of life and the way of doing business over recent decades. The ubiquitous usage of the internet is fostering new forms of enterprise. Mobile payment is a new way to conveniently and effectively conduct financial transactions through digital platforms. This study analyzes the factors influencing the adoption of mobile payments as a method of payment utilized by Generation Z. Generation Z represents the successor of the generation of our society and the generation that interacts the most with internet technology. Design/methodology– Using the Extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, this study sampled 100 respondents of Generation Z from Jakarta and surrounding areas (JABODETABEK) and further analyzed using the Partial Least Square-Structural Equation Model (PLS-SEM). Results – The results show that factors relating to Performance Expectancy, Social Influences, Facilitating Condition, Perceived Enjoyment, and Trust significantly affect the Behavioral Intention to use mobile payments to conduct online transactions. Effort Expectancy shows no significant effect. Contribution – This study provided the evidence about the factors influencing the Generation Z’s intention behavior to adopt mobile payment technology as a tool in online purchasing, using the extended UTAUT model. This stems from extended UTAUT and applies it to explore how the Behavioral Intention of Generation Z in adopting mobile payment technology.

show abstract

“…La fiabilidad del indicador nos ayuda a conocer la validez convergente del modelo, al eliminar un indicador nos dice si la confiabilidad compuesta aumenta, los valores deben ser mayores a 0.5 como se observa en la Tabla 3 (Hair et al, 2014). Por último, se observa en la Tabla 3 que los valores de AVE son mayores a 0.5, por lo que cada constructo explica más de la mitad de la varianza, estos datos indican que los constructos son válidos y confiables (Hair et al, 2014;Mensah et al, 2020).…”

Section: Análisis Del Modelo De Mediciónunclassified

Los determinantes de confianza y riesgo percibido sobre los usuarios de bitcoin

Zambrano

Castro

Peralta

2021

retos

View full text Add to dashboard Cite

Uno de los posibles determinantes de la intención de usar bitcoin puede ser la confianza de los usuarios, ya que en el poco tiempo de vigencia de la criptomoneda ha demostrado ser una opción real frente al dinero fiduciario. En este aspecto, cabe añadir que existen pocos estudios que consideran a la confianza como un determinante del uso de bitcoin, por lo que el objetivo de este estudio es investigar los factores en los que se basa la confianza y conocer hasta qué punto el riesgo percibido tiene una connotación negativa sobre el uso de la criptomoneda. Para ello se integra un modelo que es analizado bajo la metodología de ecuaciones estructurales por mínimos cuadrados parciales (PLS-SEM), aplicado a una muestra de 174 usuarios de bitcoin. Los resultados de la evaluación de siete hipótesis teóricas indican que los elementos clave de la confianza son las garantías estructurales y la familiaridad ya que determinan la intención de uso y este a su vez el uso real; a diferencia de la confianza basada en las garantías estructurales y la normalidad situacional que son poco significativas. El riesgo percibido demostró tener poca relación con la intención de uso. Por lo tanto, los proveedores de servicios relacionados con bitcoin deben enfocarse en generar situaciones de confianza para los usuarios basadas en la seguridad y las regulaciones, además de crear entornos que generen familiaridad.

show abstract

Factors Determining the Continued Intention to Use Mobile Money Transfer Services (MMTS) Among University Students in Ghana

Cited by 23 publications

References 71 publications

Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach

Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach

Factors Influencing the Adoption of Mobile Payment Method among Generation Z: the Extended UTAUT Approach

Los determinantes de confianza y riesgo percibido sobre los usuarios de bitcoin

Contact Info

Product

Resources

About