A Study on the Factors Influencing Continuance Intention to Use of Internet Primary Bank Services in China -Focused on the Post Acceptance Model-

2020 ◽  
Vol 18 (3) ◽  
pp. 169-196
Author(s):  
Seong Hwan Yoon
Keyword(s):  
Intention To Use ◽  
Continuance Intention ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Use Of Internet

Unveiling the Factors Influencing Consumers' Continuance Intention to Use a Subscription Box

2021 ◽  
Author(s):  
Hania Aminah ◽  
Stephanie Hui Wen Chuah ◽  
Pei Kuan Lin ◽  
Massoud Moslehpour ◽  
Afrizal Firman
Keyword(s):  
Intention To Use ◽  
Continuance Intention ◽  
Factors Influencing

scholarly journals Understanding Factors Influencing Elderly Diabetic Patients’ Continuance Intention to Use Digital Health Wearables: Extending the Technology Acceptance Model (TAM)

2020 ◽  
Vol 6 (3) ◽  
pp. 81
Author(s):  
Ashfaq Ahmad ◽  
Tareq Rasul ◽  
Anish Yousaf ◽  
Umer Zaman
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Digital Health ◽  
The Elderly ◽  
Developed Countries ◽  
Perceived Usefulness ◽  
Diabetic Patients ◽  
Intention To Use ◽  
Continuance Intention ◽  
Acceptance Model

Elderly diabetic patients in developed countries have been widely using digital health wearables for many years to manage their diabetes-related health data accurately. To encourage the increased adoption of digital health wearables among elderly diabetic patients in a developing country, Bangladesh, this study investigated the factors that influenced the existing elderly users’ continuance intention to use this technology. The Technology Acceptance Model (TAM) has been used here as a theoretical basis. A model using structural equation modelling was developed for the elderly diabetic patients’ continuance intention to use digital health wearables. Survey-based data were collected in Bangladesh from 223 diabetic patients aged sixty years and older. This study found that all six constructs, namely, perceived usefulness (β = 0.183), perceived ease of use (β = 0.165), perceived irreplaceability (β = 0.138), perceived credibility (β = 0.165), compatibility (β = 0.285) and social influence (β = 0.226) had a positive influence on elderly diabetic patients’ continuance intention to use digital health wearables. Along with the theoretical contributions, the findings of this study can be used by developers of digital health wearables, manufacturers, marketers and health practitioners in developing better strategies to increase the elderly diabetic patients’ continuance intention to use this technology.

YouTube for Procedural Learning

2021 ◽  
pp. 179-196
Author(s):  
Lim Wen Ying ◽  
Chew Yuin Xian ◽  
Chan Cyn Ye ◽  
Leow Shyir Khie ◽  
Siti Badriyah Mohamad Rozlan ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Teaching And Learning ◽  
Procedural Learning ◽  
Perceived Usefulness ◽  
Future Research ◽  
Intention To Use ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Behavioral Intention To Use

YouTube is reshaping teaching and learning across the world and is becoming a preferred platform for students' procedural learning to acquire relevant skills and knowledge in implementing any tasks. The aims of this research are to assess factors influencing student intention to use YouTube for procedural learning. In addition, the technology acceptance model (TAM) was applied as the underpinning theory. Data was analyzed to examine the hypothesized relationships. Results revealed that content richness, task-technology fit, YouTube self-efficacy, and vividness significantly affect students' behavioral intention to use YouTube for procedural learning. Results infer that YouTube enlarges its function as a mass-oriented means for procedural learning as students develop positive perceived usefulness of YouTube to influence their behavioral intention to use YouTube. This study integrated TAM and assessed factors influencing student intention to use YouTube for procedural learning. Future research directions are also put forward.

scholarly journals Factors Influencing Consumer Acceptance of Internet of Things Technology

2017 ◽  
pp. 186-201 ◽  
Author(s):  
Chung Sim Liew ◽  
Ju Min Ang ◽  
Yee Teen Goh ◽  
Wai Kin Koh ◽  
Shy Yin Tan ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Consumer Acceptance ◽  
Intention To Use ◽  
Additional Information ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Internet Of Things Technology

The aim of this research is to examine factors influencing consumer acceptance of Internet of Things Technology (IoT) guiding by the Technology Acceptance Model (TAM). This quantitative research involves 204 respondents approached via convenience sampling at a public higher learning institution. Data was analyzed using multiple regression and results revealed that the dimension of perceived usefulness is the most influencing factor on the consumers' acceptance of IoT technology and consumers' behavioural intention to use. In the Malaysian context, this research provides additional information in narrowing the research gap with regard to understanding behavioural intention to use the IoT technology. Next, the framework will be used for future exploration to address the issue of people who have never utilized an IoT innovation react.

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