IADIS International Journal on Computer Science and Information Systems

Published by IADIS (International Association for Development of the Information Society) • ISSN (Online): 1646-3692 • ISSN (Print): 1646-3692
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Egovernment Digital Adoption: Can Channel Choice of Individuals Be Predicted?

Samantha Papavasiliou *
Carmen Reaiche *
* Entrepreneurship, Commercialisation and Innovation Centre, University of Adelaide, Adelaide South Australia (Portugal)
* Entrepreneurship, Commercialisation and Innovation Centre, University of Adelaide, Adelaide South Australia (Portugal)

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 users to adopt an eGovernment channel choice to lodge their annual income tax return in Australia. Through the application of a quasi-randomised control trial, two different user groups were tested in order to compare and contrasts the variable of an early message intervention and the potential impact on the lodgers shift to digital channels (i.e. eGovernme nt support encouraging historically non -digital lodgers group vs null support). This small study suggests that individuals are encouraged to use digital services when Government provides support, and that they are more likely to displays predictive behaviours of adoption to these digital channels. Furthermore, there are two main characteristics which predict the users choosing to shift (i.e. age and deductive benefits). Through the use of strategically placed encouragement and digital assistance, it makes an individual more likely to shift to digital channels. However, this research demonstrates predictive analytics has a stronger place in the long term adoption of eGovernment services.

Keywords

eGovernment Digital Adoption Predictive Analytics
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Declarations & Ethics

Funding: This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest: The authors declare no competing financial or institutional interests.
Peer Review: Double-blind peer reviewed by international subject specialists.
License: Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
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Papavasiliou, et al. (2020). Egovernment Digital Adoption: Can Channel Choice of Individuals Be Predicted?. IADIS International Journal on Computer Science and Information Systems, 15(1). https://doi.org/10.33965/ijcsis_2020_v15i1_04
Papavasiliou, et al. "Egovernment Digital Adoption: Can Channel Choice of Individuals Be Predicted?." IADIS International Journal on Computer Science and Information Systems, vol. 15, no. 1, 2020. https://doi.org/10.33965/ijcsis_2020_v15i1_04
Papavasiliou, et al. "Egovernment Digital Adoption: Can Channel Choice of Individuals Be Predicted?." IADIS International Journal on Computer Science and Information Systems 15, no. 1 (2020). https://doi.org/10.33965/ijcsis_2020_v15i1_04