scholarly journals The Integration of the Technology Acceptance Model and Value-Based Adoption Model to Study the Adoption of E-Learning: The Moderating Role of e-WOM

2022 ◽  
Vol 14 (2) ◽  
pp. 815
Author(s):  
Ying-Kai Liao ◽  
Wann-Yih Wu ◽  
Trang Quang Le ◽  
Thuy Thi Thu Phung

The Technology Acceptance Model (TAM) has lately been utilized in a number of studies to investigate why people reject or adopt new technologies like mobile commerce or e-learning. However, several studies have found weaknesses in TAM’s ability to predict consumers’ purchase intention behavior. To compensate for TAM’s weaknesses, this study presents a model that integrates all of TAM’s components with the Value-Based Adoption Model (VAM). The perceived benefits and sacrifices were considered to provide a list of the implications for both researchers and e-learning service providers. Furthermore, the moderating role of e-word of mouth was utilized to examine the relationship between attitude, intention, perceived value, and intention toward e-learning, in order to match the current circumstances with the growing popularity of social networks. This study was conducted with a quantitative analysis by using data collected from survey 417 e-learning consumers. Except for perceived fee, which has a negative effect on perceived value, the results demonstrate that all hypotheses of latent correlations in TAM and VAM were strongly significant. Furthermore, attitude and perceived value have a significant role in determining consumer adoption of e-learning. Consumers’ perceived value will be driven by the high and low levels of the moderating influence of e-word of mouth, influencing their intention toward e-learning. Since e-learning is an effective sustainable education system, the result of this study can provide a good solution to facilitate e-learning in current and future conditions.

Author(s):  
Farrah Zeba ◽  
Shirshendu Ganguli

This paper aims to understand the role of word-of-mouth, trust and perceived risk in extended technology acceptance model on online purchase intention. Firstly, EFA was used to test the dimensionality of these constructs. Next the reliability and validity of these constructs have been established using CFA in AMOS 16.0. Then the hypotheses were tested using SEM in AMOS 16.0. It was found that word-of-mouth has a positive and significant impact on online purchase intention whereas perceived risk has a negative and significant impact on online purchase intention. It was also found that word-of-mouth has a positive and significant impact on trust and trust has negative and significant impact perceived risk. Word-of-mouth, trust and perceived risk should be viewed as the levers in the adoption process of online shopping in the extended technology acceptance model. Examining the role of these three constructs on online purchase intention explicated the dual process of perceived risk acting as an inhibitor whereas word-of-mouth acting as an enabler.


2021 ◽  
Vol 21 (3) ◽  
pp. 198
Author(s):  
Aglis Andhita Hatmawan ◽  
Abdul Rohman Taufiq

This study is meant to develop a TAM (Technology Acceptance Model) by integrating a VAM (Value-based Adoption Model), PAM (Pos Acceptance Model) and security perceptions. The frameworks of the theories are expected to deeper explain the perspective perceived by fintech services users in terms of security, perceived value, benefits, and satisfaction in using fintech. Survey through a quantitative approach combined with explanatory research in Madiun Residency. The results showed that all hypotheses proposed in this study were accepted. Security is the main requirement for people to continue or discontinue using fintech services. Perceived value is a comparative result influenced by the amount of sacrifice that is given and the perceived benefits. People who are satisfied and tends to assume that the fintech service is valuable, will most likely continue using the fintech service. Therefore, it can be concluded that TAM, VAM, PAM and security perceptions are a unified whole in understanding one's behaviour in adopting technology such as fintech services. Keywords-TAM; VAM; PAM; Security Perception; Fintech


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