Authors : Osama Isaac, Zaini Abdullah, T. Ramayah, Ahmed M. Mutahar and Ibrahim Alrajawy
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.
Osama Isaac, Zaini Abdullah, T. Ramayah, Ahmed M. Mutahar and Ibrahim Alrajawy, 2018. Integrating User Satisfaction and Performance Impact with Technology Acceptance Model (TAM) to Examine the Internet Usage Within Organizations in Yemen. Asian Journal of Information Technology, 17: 60-78.