Title:
|
EGOVERNMENT DIGITAL ADOPTION: CAN THE ADOPTIVE BEHAVIOUR OF INDIVIDUALS BE PREDICTED? |
Author(s):
|
Samantha Papavasiliou and Carmen Reaiche |
ISBN:
|
978-989-8704-14-6 |
Editors:
|
Piet Kommers, Boyan Bontchev and Pedro IsaĆas |
Year:
|
2020 |
Edition:
|
Single |
Keywords:
|
eGovernment, Digital Adoption, Predictive Analytics |
Type:
|
Full |
First Page:
|
11 |
Last Page:
|
18 |
Language:
|
English |
Cover:
|
|
Full Contents:
|
click to dowload
|
Paper Abstract:
|
The shift of public sector services to digital platforms has had ongoing impacts on individuals interactions with government
entities and services. This research explores the effectiveness of encouraging non-digital service users to shift to digital
services to lodge their annual income tax return in Australia. Through the application of a quasi-randomised control trial,
tested whether or not encouraging historically non-digital lodgers will shift to digital channels for a treatment group
compared to those who did not receive the message. This small study suggests that individuals are encouraged to use digital
services by Government support, are more likely to change from non-digital to digital. Furthermore, there are two
characteristics which predict the who will shift. Through the use of strategically placed encouragement and digital
assistance, makes an individual more likely to shift to digital channels. However, this research demonstrates predictive
analytics has a place in the long term adoption of eGovernment services. |
|
|
|
|