@article{MAKHILLTSS201813124585,
    title = {Top Management Support Accelerates the Acceptance of Information Technology},
    journal = {The Social Sciences},
    volume = {13},
    number = {1},
    pages = {175-189},
    year = {2018},
    issn = {1818-5800},
    doi = {sscience.2018.175.189},
    url = {https://makhillpublications.co/view-article.php?issn=1818-5800&doi=sscience.2018.175.189},
    author = {Sami,Noor and},
    keywords = {Technology acceptance model,national culture,government sector,structural equition modeling,Yemen,capability},
    abstract = {Organizations around the world are looking for the development and keep up to date with emerging
technology. Thus, they pay more intention to develop their technology infrastructure to improve productivity,
effectiveness or to adopt e-Government. However, in reality not all companies adopt and use effectively or even
use information technology. And in reality not all employees in organizations accept, adopt and use effectively
or even use, information technology. When this happens, there is a gap between the ideal and the reality of the
actual usage of information technology. As a result, there is need to study and understand the factors affecting
the acceptance of technologies. This study aims to test the success of the technology acceptance model in
Yemen culture. In addition, This study aims to investigate the factors influencing the acceptance of technology
in Yemen public sector. This study developed a framework based on two theories, TAM 2 and UTAUT Models.
survey questionnaire was distributed to 53 government utilities and 357 cases were used in the analysis.
Structural equition modeling AMOS 18 was used for the analysis of the proposed model, from a total 14
hypothesis, 11 were supported and three hypothesis were rejected. This study has provided empirical evidence
for the effects of new technology determinants in the government sector. In particular it has successfully
revealed that top management support and information quality are important determinants in influencing the
adoption of technologies. The findings confirmed the theory of TAM and showed its potential capability in
the Middle East, particularly in Yemen.}
    }