Contribution of Trust Factor Towards IOT Diffusion – An Empirical Study Using Acceptance Model

2020 ◽  
pp. 694-706
Author(s):  
Reuban Gnana Asir ◽  
Hansa Lysander Manohar
Keyword(s):  
Empirical Study ◽  
Acceptance Model

An Empirical Study to Validate the Technology Acceptance Model in Explaining the Intention to Use Technology among Educational Users

2012 ◽  
pp. 282-294 ◽  
Author(s):  
Timothy Teo
Keyword(s):  
Data Analysis ◽  
Empirical Study ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Structural Models ◽  
Intention To Use ◽  
Acceptance Model ◽  
Acceptance Research ◽  
Study Offer

This study examines a sample (N=239) of pre-service teachers’ self-reported intention to use technology. The Technology Acceptance Model (TAM) was used as a research framework in which findings contribute to technology acceptance research by demonstrating the suitability of the TAM to explain the intention to use technology among educational users. Using the structural equation modelling for data analysis, a good fit was found for both the measurement and structural models. Overall, the results of this study offer evidence that the TAM is effective in predicting pre-service teachers’ intention to use technology. This paper concludes with a discussion of the limitations and recommendations for further study.

An Empirical Study of Factors Affecting RFID's Adoption in Taiwan

2010 ◽  
pp. 1122-1143 ◽  
Author(s):  
Dong-Her Shih ◽  
Yuh-Wen Chiu ◽  
She-I Chang ◽  
David C. Yen
Keyword(s):  
Empirical Study ◽  
Technology Acceptance ◽  
Diffusion Theory ◽  
User Acceptance ◽  
Theoretical Background ◽  
Factors Affecting ◽  
Sports Events ◽  
Innovation Diffusion Theory ◽  
Willingness To Adopt ◽  
Acceptance Model

RFID ticketing systems constitute a particular type of pervasive information systems providing spectators of sports events with a transparent mechanism to validate and renew tickets. This study seeks to investigate the factors that influence user acceptance of RFID ticketing systems. The theoretical background of the study was drawn from the technology acceptance model (TAM) and the innovation diffusion theory (IDT), and enhanced with factors related to privacy and switching cost features. The research model was tested with data gathered through a lab experiment (N=71). The participants perceived the system as useful and easy to use, and expressed the willingness to adopt it should it become commercially available. Moreover, the results of ANOVA tests suggest that the age and education of users influence their perception towards the usefulness of the system and its subsequent use.

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