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Article . 2013
License: CC BY
Data sources: Datacite
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
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Enhancing E-Government Platforms for Municipal Service Delivery in South Africa: Efficiency and User Satisfaction Survey Analysis

Authors: Khumalo, Sibongile; Nkonyane, Nomathamsanqu; Mathebela, Lindiwe; Mngqibiso, Nokuthula;

Enhancing E-Government Platforms for Municipal Service Delivery in South Africa: Efficiency and User Satisfaction Survey Analysis

Abstract

E-government platforms in South African municipalities aim to improve service delivery through digital channels. However, their effectiveness and user satisfaction remain under-researched areas. A mixed-method approach combining quantitative surveys with qualitative interviews was employed. Data were collected from a representative sample of municipalities across South Africa. Analysis revealed that user satisfaction levels varied significantly (mean = 7.5 out of 10, SD = 1.2), indicating room for improvement in service delivery efficiency and interface design. The findings suggest that while current platforms are generally satisfactory, there is potential to enhance their performance through targeted improvements focused on user experience and functionality enhancements. Future implementations should prioritise user-centric design principles and continuous feedback mechanisms to ensure sustainable improvement in service delivery efficiency. E-Government Platforms, Municipal Services, User Satisfaction, Efficiency Improvement

Keywords

IoT, Analytics, User Experience, Blockchain, Sub-Saharan, GIS, Accessibility

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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