| dc.creator |
Ishengoma, Fredrick Romanus |
|
| dc.creator |
Mselle, Leonard |
|
| dc.creator |
Mongi, Hector |
|
| dc.date |
2021-05-19T08:36:18Z |
|
| dc.date |
2021-05-19T08:36:18Z |
|
| dc.date |
2019 |
|
| dc.date.accessioned |
2022-10-20T13:47:45Z |
|
| dc.date.available |
2022-10-20T13:47:45Z |
|
| dc.identifier |
Fredrick, I., Leonard, M., & Hector, M. (2019). Power distance and users Behavior towards the adoption of m-Government services in Tanzania: a web analytics study. International Journal of Open Information Technologies, 7(9). |
|
| dc.identifier |
2307-8162 |
|
| dc.identifier |
http://hdl.handle.net/20.500.12661/3140 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.12661/3140 |
|
| dc.description |
Abstract. Full text article available at http://injoit.org/index.php/j1/article/view/786 |
|
| dc.description |
Citizens adoption of m-Government services can be achieved through voluntary or mandatory settings. In Tanzania, some government authorities have chosen mandatory adoption approach in order to increase adoption rate, efficiency, and reduce the costs of public administration. One of the crucial dimensions of mandatory adoption is power distance (PD). Literature review, mostly from developed countries, have shown contradicting results on the role of PD towards the adoption of m-Government services. Meanwhile, there is a lack of research studies from African developing countries. This research seeks to fill this gap by examining if PD is a success factor towards the adoption of m-Government services and model users’ behaviors. The study analyzed the 1-year transactions logs that cover before and after the mandatory electronic payment system is adopted. Furthermore, the study analyzed the 1-year traffic of data from government recruitment agency by using web analytics to understand users’ pattern. Findings show that PD is a significant success factor in the adoption of m-Government services in Tanzania. The study also reveals the existence of flash effect (FE) pattern. Finally, the study proposes a Flash Event Mitigation Algorithm (FEMA) to mitigate the impact of the FEs on m-Government services. |
|
| dc.language |
en |
|
| dc.publisher |
Open Information Technologies Lab (OIT Lab) |
|
| dc.subject |
Power distance |
|
| dc.subject |
Users behavior |
|
| dc.subject |
M-Government |
|
| dc.subject |
Tanzania |
|
| dc.subject |
Public administration |
|
| dc.subject |
Mitigation algorithm |
|
| dc.subject |
Government services |
|
| dc.title |
Power distance and users behavior towards the adoption of m-Government services in Tanzania: a web analytics study |
|
| dc.type |
Article |
|