论文信息 - E-Government Service Demand Prediction and Forecasting during COVID-19 Pandemic: SARIMA Model based Exploration

E-Government Service Demand Prediction and Forecasting during COVID-19 Pandemic: SARIMA Model based Exploration

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.

Harekrishna Misra | Ankit Sontakke | Rama Krushna Das

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