Factors influencing ICTs acceptance and usage for e-government services in public organizations in Jordan

• 主要作者: Alkhawaldah, Atef A. E.
• 格式: Thesis
• 語言: 英语; 英语; 英语
• 出版: 2019
• 主題: T58.5-58.64 Information technology; HD58.7 Organizational Behavior.
• 在線閱讀: https://etd.uum.edu.my/8937/1/s900563_01.pdf; https://etd.uum.edu.my/8937/2/s900563_02.pdf; https://etd.uum.edu.my/8937/3/s900563_references.docx

E-government in public organisations in Jordan has been in existence for more than two decades. However, there is still lack of studies in discovering the aspects of attitude and behavior of public organisation employees towards e government services. Therefore, this study aims to investigate the determinants of the ICT usage from the perspective of attitude and behavior of the employees in the e-government services. This study employed the Model of Readiness for Organizational Change proposed by Holt as the underpinning theory and further enhanced it to the technology acceptance model III proposed by Venkatesh, and Bala as the additional predictors of ICT acceptance via the intervening effect of attitude towards intention to use for e-government. The study setting was based on three main public organizations from Jordan, namely; Municipality of Zarqa, Municipality of Irbid, Municipality of Mafraq and systematic random sampling of data collection was done through self-administered questionnaire and analysis was done by using the PLS structural equation modelling as the statistical tool. The findings show that principal supports, motivation valence, appreciation, perceived ease of use, perceived usefulness and current usage have a positive significant effect on current usage of e-government services. The findings further reveal that attitude to change positively intervene through current usage and intention to use of ICT acceptance and usage for e-government services. These results are immeasurably valuable to practitioners for managing and executing their strategies in public organisations. Furthermore, it contributes and enriches knowledge pertaining to the predictors of e-government usage.