@article{MAKHILLAJIT20181716714,
    title = {Integrating User Satisfaction and Performance Impact with
Technology Acceptance Model (TAM) to Examine the
Internet Usage Within Organizations in Yemen},
    journal = {Asian Journal of Information Technology},
    volume = {17},
    number = {1},
    pages = {60-78},
    year = {2018},
    issn = {1682-3915},
    doi = {ajit.2018.60.78},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2018.60.78},
    author = {Osama,Zaini,Ahmed,Ibrahim and},
    keywords = {performance impact,TAM,perceived ease of use,perceived usefulness,User satisfaction,Yemen},
    abstract = {Internet technology has become an essential technological tool for individuals, organizations and
nations driving growth and prosperity. In today’s rapidly changing commercial environment, the internet is
playing a major role in enabling organizations to be flexible, networked and competitive. It is providing a
platform for improving task efficiency, knowledge acquisition and communication and decision-making quality.
Yet, half the world population is still not using the internet. A significant body of theory and a number of
models have been proposed to understand this ambiguity about technology usage. Although, the Technology
Acceptance Model (TAM) has achieved wide acceptance, it neglects to focus on evaluating technology usage,
such as user satisfaction and performance impact. Therefore, the purpose of this study is to propose and verify
that the TAM can be employed to explain and predict internet usage among employees in organizations, along
with the extended TAM with its two output factors, namely user satisfaction and performance impact. In
addtion, this study deals with performance impact as a second-order construct to enhance the explanatory
power of the full model. A survey questionnaire was used to collect primary data from 530 internet users among
employees within the head offices in all thirty government ministries in Yemen. The analysis includes
Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) via. AMOS and the results show
that the data fits the extended TAM model well. The findings of the multivariate analysis demonstrate the
following four main results: first, perceived ease of use has a positive impact on perceived usefulness, actual
usage and user satisfaction. Second, perceived usefulness has great influence on actual usage and user
satisfaction. Third, actual usage has a strong positive impact on performance impact. Fourth, user satisfaction
positively influences performance impact. The model proposed here explains 65% of the variance in performance
impact and the theoretical and practical implications are also discussed.}
    }