Explaining Intention to Use Mobile Banking: Integrating Perceived Risk and Trust into the Technology Acceptance Model

2021 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Nam Vu ◽  
Thang Tran ◽  
Ching Yuen Chan ◽  
Stan Williamson ◽  
Ha Nguyen ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Intention To Use ◽  
Mobile Banking ◽  
Acceptance Model

A Holistic Model Proposal to Better Understand Mobile Purchases

2021 ◽  
Vol 17 (3) ◽  
pp. 84-97
Author(s):  
Sinda Agrebi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Purchase Intention ◽  
Mobile Internet ◽  
Ease Of Use ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Holistic Model ◽  
Acceptance Model

This research suggests a model to explain mobile purchase intention via smartphones based on the technology acceptance model to which specific variables to the m-commerce context were added: perceived risk, innovativeness, ubiquity, and trust in mobile internet. To that aim, a quantitative study was conducted with 400 French mobile users (200 buyers and 200 non-buyers) and was based on a purchase simulation of a train ticket on a mobile site up to the point of payment. The results show that the usefulness (explained by the innovativeness, the ubiquity and trust toward mobile Internet) and the perceived risk (explained by the innovativeness) have an impact on the intention to use unlike the perceived ease of use.

Understanding Vietnamese Consumer Intention to Use Online Retailer Websites

2020 ◽  
Vol 12 (2) ◽  
pp. 1-15
Author(s):  
A. F. M. Jalal Ahamed ◽  
Yam Limbu ◽  
Long Pham ◽  
Ha Van Nguyen
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Structural Equation ◽  
Online Shopping ◽  
Equation Model ◽  
Ease Of Use ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

This study examines the applicability of an extended technology acceptance model (TAM) that incorporates trust, perceived risk, and self-enhancement as antecedents to the TAM constructs. Data collected from 299 Vietnamese online consumers, through a self-administered survey, were entered into a structural equation model using AMOS 23 to establish causality. The results partially confirm the applicability of TAM to the online shopping intentions of Vietnamese consumer, though contrary to expectations, perceived ease of use does not predict behavioral intentions. Trust and self-enchantment fit well with the TAM; the inclusion of perceived risk as an antecedent is questionable. The findings offer new opportunities for explaining TAM theory in light of Schwartz's value dimensions. This article thus concludes with a discussion of the research contributions and implications.

scholarly journals Measuring Mobile Banking Adoption in Uganda Using the Technology Acceptance Model (TAM2) and Perceived Risk

2021 ◽  
Vol 09 (01) ◽  
pp. 397-418
Author(s):  
Nalugoti Milly ◽  
Shoukui Xun ◽  
Megan Emfosi Meena ◽  
Benjamin Blandful Cobbinah
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Mobile Banking ◽  
Acceptance Model

The effect of awareness and perceived risk on the technology acceptance model (TAM): mobile banking in Yemen

2018 ◽  
Vol 12 (2) ◽  
pp. 180 ◽  
Author(s):  
Osama Isaac ◽  
Ahmed M. Mutahar ◽  
Norzaidi Mohd Daud ◽  
T. Ramayah ◽  
Adnan H. Aldholay
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Mobile Banking ◽  
Acceptance Model

scholarly journals Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik

10.2196/16911 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e16911
Author(s):  
Gorkem Akdur ◽  
Mehmet Nafiz Aydin ◽  
Gizdem Akdur
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Health ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Intention To Use ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Background Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey’s most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users. Objective The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users. Methods We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling. Results Statistical findings suggested that perceived usefulness (P<.001), perceived ease of use (P<.001), trust (P<.001), and price-value (P<.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (P=.99). Additionally, there was no statistical significance for age (P=.09), gender (P=.98), or previous app use experience (P=.14) on the intention to use the app. Conclusions This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform’s dietitians to ensure that users’ interactions with the dietitians are based on trust for the platform and the brand.

The effect of awareness and perceived risk on the technology acceptance model (TAM): mobile banking in Yemen

2018 ◽  
Vol 12 (2) ◽  
pp. 180 ◽  
Author(s):  
Ahmed M. Mutahar ◽  
Norzaidi Mohd Daud ◽  
T. Ramayah ◽  
Osama Isaac ◽  
Adnan H. Aldholay
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Mobile Banking ◽  
Acceptance Model

Predicting Mobile Banking Adoption: An Integration of TAM and TPB with Trust and Perceived Risk

2021 ◽  
Vol 17 (3) ◽  
pp. 35-46
Author(s):  
Ziad Aldammagh ◽  
Rabah Abdeljawad ◽  
Tareq Obaid
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Empirical Support ◽  
Mobile Banking ◽  
Banking Services ◽  
Tam Model ◽  
Mobile Banking Applications ◽  
Acceptance Model ◽  
Game Changer

Abstract Mobile banking has been a game changer for financial organizations in terms of remote banking services. However, many customers remain uncertain due to its security. Therefore, improving the comprehension of the customer’s reasons and methods of using bank sites, including their behaviour towards e-banking, is crucial. This article discusses the matter by suggesting a technology acceptance model that integrates the theory of the planned behavior model in the classic TAM model with trust and perceived risk in order to elucidate the aspects that influence users’ acceptance of mobile banking applications in Palestine. This study is designed to give both theoretical and empirical support for e-commerce adoption. We are also capable in providing particular marketing ideas for practitioners in relation to the uptake of mobile banking.

scholarly journals Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik (Preprint)

2019 ◽  
Author(s):  
Gorkem Akdur ◽  
Mehmet Nafiz Aydin ◽  
Gizdem Akdur
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Health ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Intention To Use ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Acceptance Model ◽  
Behavioral Intention To Use

BACKGROUND Dietetics mobile health apps provide lifestyle tracking and support on demand. Mobile health has become a new trend for health service providers through which they have been shifting their services from clinical consultations to online apps. These apps usually offer basic features at no cost and charge a premium for advanced features. Although diet apps are now more common and have a larger user base, in general, there is a gap in literature addressing why users intend to use diet apps. We used Diyetkolik, Turkey’s most widely used online dietetics platform for 7 years, as a case study to understand the behavioral intentions of users. OBJECTIVE The aim of this study was to investigate the factors that influence the behavioral intentions of users to adopt and use mobile health apps. We used the Technology Acceptance Model and extended it by exploring other factors such as price-value, perceived risk, and trust factors in order to assess the technology acceptance of users. METHODS We conducted quantitative research on the Diyetkolik app users by using random sampling. Valid data samples gathered from 658 app users were analyzed statistically by applying structural equation modeling. RESULTS Statistical findings suggested that perceived usefulness (<i>P</i>&lt;.001), perceived ease of use (<i>P</i>&lt;.001), trust (<i>P</i>&lt;.001), and price-value (<i>P</i>&lt;.001) had significant relationships with behavioral intention to use. However, no relationship between perceived risk and behavioral intention was found (<i>P</i>=.99). Additionally, there was no statistical significance for age (<i>P</i>=.09), gender (<i>P</i>=.98), or previous app use experience (<i>P</i>=.14) on the intention to use the app. CONCLUSIONS This research is an invaluable addition to Technology Acceptance Model literature. The results indicated that 2 external factors (trust and price-value) in addition to Technology Acceptance Model factors showed statistical relevance with behavioral intention to use and improved our understanding of user acceptance of a mobile health app. The third external factor (perceived risk) did not show any statistical relevance regarding behavioral intention to use. Most users of the Diyetkolik dietetics app were hesitant in purchasing dietitian services online. Users should be frequently reassured about the security of the platform and the authenticity of the platform’s dietitians to ensure that users’ interactions with the dietitians are based on trust for the platform and the brand.

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