Title |
Intention to Use Smart City System Based on Social Cognitive Theory |
ID_Doc |
45808 |
Authors |
Fitriani, WR; Handoyo, TT; Rahayu, P; Sensuse, DI |
Title |
Intention to Use Smart City System Based on Social Cognitive Theory |
Year |
2016 |
Published |
|
DOI |
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Abstract |
Through a mobile application to respond citizen's grievance/complain, called QLUE, the government of Jakarta, Indonesia, begins to implement smart city concepts. However, QLUE usage and adoption level is still low compared to the number of population. Therefore, this study examined the determinants of citizen's behavioral intention to use smart city system (QLUE) based on the extended social cognitive theory (SeT) model. Data collection was conducted using questionnaire to QLUE users. The adopted model was examined using PartialLeast Square (PLS). The results showed that behavioral intention to use QLUE is positively influenced by affect and social influence. On other hand, the negative relationship between anxiety and behavioral intention is not supported in this study. Limitations and implications of the study are also presented. |
Author Keywords |
e-government; behavioral intention; social cognitive theory; smart city; Indonesia |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000406597500029 |
WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
Research Area |
Computer Science; Engineering |
PDF |
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