scholarly journals Acceptance of Consumer-Oriented Health Information Technologies (CHITs): Integrating Technology Acceptance Model with Perceived Risk

Informatica ◽  
2021 ◽  
Vol 45 (6) ◽  
Author(s):  
Mudita Sinha ◽  
Leena Fukey ◽  
Kandappan Balasubramanian ◽  
Mohd Hafiz Hanafiah ◽  
Puvaneswaran Kunasekaran ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Health Information ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Information Technologies ◽  
Health Information Technologies ◽  
Integrating Technology ◽  
Acceptance Model

Using Technology Acceptance Model to Study Customers’ Perception Towards Green Banking

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 402-409
Author(s):  
Deepak Shrivastava ◽  
Apurva Shrivastava ◽  
Gyan Prakash
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
New Technology ◽  
Banking System ◽  
Point Of View ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Tech-friendliness in this new era is an important quotient considered and the persons’ acceptance towards the technology frequency matters a lot. But still the frequency varies from person to person, this brought in the concept of Technology Acceptance Model given by Fred Davis in 1989. The theory of TAM is based on two theories that are Theory of Reasoned Action and Theory of Planned Behavior, TAM is extended version of these two. Green Banking is a new technology introduced by the banks that focuses on the growth of Sustainable development and Banking system too. Thus, banks ask their customers to use it or practice it in their daily life transactions. But every customer has their own point of view on the usage of Green banking. Thus, the research aims to understand the customers’ perception towards the Green Banking for this TAM is used. The research states that Perceived risk is the primary factor that is followed by perceived usefulness and perceived ease of use that impacts the decision to use green banking. Thus, the behavioral intention results in actual use of green banking usage for which people are trying to accept the new technology. So, the banks have earned points for creating awareness among their customers but still they have to work hard and clarify their customers’ problems and vanish that hitch that is stopping them to use green banking easily.

scholarly journals Iranian Health Information Technology Acceptance Model (IHITAM) from Users' Views

2019 ◽  
Vol 27 (4) ◽  
pp. 245
Author(s):  
Mehrdad Farzandipour ◽  
Somayyeh Ravandi ◽  
Hamidreza Gilasi ◽  
Nabiallah Soleimani
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Health Information Technology ◽  
Health Information ◽  
Technology Acceptance Model ◽  
Acceptance Model

Technology Acceptance Model Modification for Electronic Wallet Users in Jakarta

2021 ◽  
Vol 26 (1) ◽  
pp. 17-24
Author(s):  
Almi Budiman ◽  
◽  
Baruna Hadibrata ◽  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mobile Payment ◽  
Perceived Ease Of Use ◽  
Perceived Trust ◽  
Money Transfers ◽  
Acceptance Model

Introduction. The development of mobile payment in Indonesia is increased, especially by the emergence of the two biggest electronic payments, such as Go-Pay and Ovo, which aggressively offer various interesting offers. This affects the enhancement of the use of mobile payment by the public. In the beginning, server-based electronic money services of its appearance were still small, including credit top-up and internet data, and money transfers to banks that include as a member of ATM Bersama (joint ATM). Along with the development of technology, electronic wallets begin to transform by expanding payment services, and several latest e-wallet applications have emerged. Purpose. The purpose of this research is to understand the changes in consumers’ behavior that make payments from using cash and switching to electronic wallets. Results. The results of the analysis in this study were obtained as the below: (1) Perceived ease of use, perceived usefulness, perceived security, and perceived risk and trust have an influence on the intention to use e-wallet electronic application; (2) perceived ease of use and perceived risk have an influence on perceived usefulness of e-wallet user and (3) perceived ease of use, perceived risk, and perceived usefulness influence the perceived trust of e-wallet application users. Conclusions. It can be concluded that the technology acceptance model influences the user in using the electronic wallet as their transaction method since its usage can be trusted. Moreover, the benefit they got from electronic wallet (perceived usefulness) influence their trust and increase the intention of using an electronic wallet

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.

Technology Acceptance Model

2007 ◽  
pp. 306-308
Author(s):  
M. McCord
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Information Technologies ◽  
Employee Performance ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Intent To Use ◽  
Acceptance Model

The Technology Acceptance Model (TAM) (Davis, 1989) measures perceived usefulness and perceived ease of use as predictors of a user’s intent to use computer technology, and their actual usage on the job. The measure first appeared in 1989, in an MIS Quarterly article by Fred Davis and in a coauthored article in Management Science(Davis, 1989; Davis, Bagozzi, & Warshaw, 1989). Extending the Theory of Reasoned Action (Ajzen & Fishbein, 1980) to technology, Perceived usefulness (U) is defined as “the degree to which a person believes a particular system would enhance his or her job performance.” Perceived ease of use (EOU) is defined as “the degree to which a person believes that using a particular system would be free of effort.” ‘Usage intentions’ (BI) was measured through self-predicted future usage and ‘user acceptance’ was measured through self-reported current usage. Although information technology is adopted to improve employee performance, these gains are often lost or diminished by users’ unwilling to accept and use the information system. Davis wanted to understand why users rejected or accepted information technologies, to better predict, explain and increase user acceptance. The TAM model has since become one of the most established models for predicting user acceptance.

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