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Title E-Government Service Demand Prediction and Forecasting during COVID-19 Pandemic: SARIMA Model based Exploration
ID_Doc 70166
Authors Misra, H; Sontakke, A; Das, RK
Title E-Government Service Demand Prediction and Forecasting during COVID-19 Pandemic: SARIMA Model based Exploration
Year 2021
Published
DOI 10.1145/3494193.3494281
Abstract COVID-19 proved the relevance of digital infrastructure and services globally. Regular ranking each nation globally on E-Government provides the seriousness of the UN and global leaders in shaping the future strategically. Channelizing E-Government services through an agent-based entrepreneurship model is not new. Like any digital business, E-Government services mature globally with technology. The scope for delivering these services is also on the rise leading to attracting entrepreneurs to set up E-Government outlets. The real challenge remains to predict the demand of E-Government services to make the business sustainable. Indian E-Government framework, NeGP and Digital India policy dwell on the business model driven policy through CSC framework. This article examines the citizen demand of E-Government services and predicts the demand behavior of the citizens during the COVID-19 pandemic for the entrepreneurs using SARIMA model. The actual demand scenario during a pandemic is as per the forecast and predictions of the model.
Author Keywords Entrepreneurship; E-Government; Digital Services; SARIMA Model; Common Service Centers
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH)
EID WOS:000933151800086
WoS Category Computer Science, Information Systems; Communication; Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods; Political Science; Public Administration
Research Area Computer Science; Communication; Government & Law; Public Administration
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