电子政务数字化应用:能否预测个人的渠道选择?

IF 0.2 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS IADIS-International Journal on Computer Science and Information Systems Pub Date : 2020-10-07 DOI:10.33965/ijcsis_2020150103
S. Papavasiliou, Carmen Reaiche
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引用次数: 0

摘要

公共部门服务向数字平台的转变对个人与政府实体和服务的互动产生了持续的影响。本研究探讨了鼓励用户采用电子政务渠道选择在澳大利亚提交年度所得税申报表的有效性。通过准随机对照试验的应用,测试了两个不同的用户群体,以比较和对比早期信息干预的变量和对房客转向数字渠道的潜在影响(即电子政府支持鼓励历史上非数字的房客群体与零支持)。这项小型研究表明,在政府提供支持的情况下,鼓励个人使用数字服务,并且他们更有可能表现出采用这些数字渠道的预测行为。此外,有两个主要特征预测用户选择转移(即年龄和扣除福利)。通过使用战略性的鼓励和数字援助,它使个人更有可能转向数字渠道。然而,这项研究表明,预测分析在电子政务服务的长期采用中具有更强的地位。
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EGOVERNMENT DIGITAL ADOPTION: CAN CHANNEL CHOICE OF INDIVIDUALS BE PREDICTED?
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. eGovernment 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.
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来源期刊
IADIS-International Journal on Computer Science and Information Systems
IADIS-International Journal on Computer Science and Information Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
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