Empirical study on Chinese tourists’ perceived trust and intention to use biometric technology

2018 ◽  
Vol 23 (9) ◽  
pp. 880-895 ◽  
Author(s):  
Chen-Kuo Pai ◽  
Te-Wei Wang ◽  
Shun-Hsing Chen ◽  
Kun-You Cai
2021 ◽  
Vol 1793 (1) ◽  
pp. 012014
Author(s):  
Fahmi Zaidi Abdul Razak ◽  
Maszita Mohd. Dom ◽  
Muhammad Hisyamudin Baharudin

2021 ◽  
pp. 026666692110641
Author(s):  
Najmul Hasan ◽  
Yukun Bao ◽  
Shah Jahan Miah ◽  
Alex Fenton

The Internet of Things (IoT) enabled technologies to have proliferated due to their abilities to capture and exchange quality information. This empirical study aims to investigate the factors influencing the intention to use IoT services in healthcare by young physicians. An integrated model based on the theory of planned behaviour (TPB) and diffusion of innovations (DOI) theories are drawn upon and analyzed through a Structural Equation Modelling (SEM) with importance-performance map analysis (IPMA). Data were collected through a structured survey questionnaire. The results indicated that behavioural intention to use IoT in healthcare services vastly affected by the attitude and value co-creation. Attitude was found to be a principal determinant followed by the relative advantage towards behavioural intention to use IoT services. The novelty of this empirical study is that the proposed integrated model provides a meaningful application of the young physicians’ intention to use IoT in healthcare in developing countries.


Author(s):  
Timothy Teo

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.


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