Neethi Simeon Geddam

UM4050

PUM23235

In the evolving landscape of digital governance, assessing the effectiveness of MGPs (Municipal Government Portals) is crucial to ensure transparency, accountability, and improved service delivery. This study explores two prominent frameworks — the NeSDA (National e-Governance Service Delivery Assessment) developed by the DARPG (Department of Administrative Reforms and Public Grievances, Government of India) and the UN-LOSI (United Nations' Local Online Service Index) developed collaboratively by the UN-DESA (United Nations Department of Economic and Social Affairs, DPIDG (Division for Public Institutions and Digital Government), and the UNU-EGOV (United Nations University Operating Unit on Policy-Driven Electronic Governance) to evaluate the maturity of the ULBs (Urban Local Bodies) in the selected Indian cities. The project examines portal performance across dimensions such as accessibility, content, service provision, engagement, and technical infrastructure. Through binary scoring and comparative methodology, this project highlights the commonalities and distinctions between the two frameworks and presents a cross-method analysis and assessment for selected Indian cities.


Report Content

Aim, methodology and introduction to types of e-government services and their different assessment index in the national level, state level and city level.

Introducing the NeSDA city portal assessment initiation in the upcoming 2023 NeSDA report and its framework.

The need for the 3rd LOSI pilot survey in India due to the introduction of channel-independent questions, the new category of E-Literacy and the increase in the no of indicators through the years.

The NeSDA and LOSI questionnaire analysis.

The LOSI and NeSDA scores for five major Indian cities and a Tableau link to data visualizations for all 39 cities.

The overall NeSDA score of selected cities.

The overall LOSI score of selected cities.

City wise LOSI and NeSDA scores

Overall city score comparison of LOSI pilot survey 1 and LOSI pilot survey 3

Inferences & recommendations