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Recent Advances in Computer Science and Communications

Editor-in-Chief

ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

Research Article

Assessment and Adoption Analysis for Smart Governance Using Fuzzy Conjoint Model

Author(s): Mukta Goyal and Nitin Tyagi *

Volume 14, Issue 7, 2021

Published on: 04 March, 2020

Page: [2314 - 2323] Pages: 10

DOI: 10.2174/2666255813666200304142958

Price: $65

Abstract

Background: In the era of internet, government of each country is thinking about the role of Electronic governance to facilitate its citizens using Information and Communication Technology (ICT). To achieve this, every government activities/ procedures are transforming to electronic medium with the help of websites, mobile applications, government social media accounts and establishing common service center for rural part of country. But it is matter to assess the satisfaction level of electronic services launched by government. If the satisfaction level is high then adoption of government services would be high.

Objective: This objective of this research is finding the suitable factors for adoption of government E-services and ranking them accordingly.

Methods: Thus this paper suggests an intelligent fuzzy conjoint technique to rank the factors that affects adoption of E-services launched by government. A survey is done to find the factors which may affect adoption of such electronic governance initiative.

Results: Result shows that 62.5% are satisfied with services, 25% are dissatisfied and 12.5% are neutral with respected to e-government services Government has established common service center with highest ranking. Next finding is that customized government portals and mobile applications should be multilingual support.

Conclusion: The people are dissatisfied with the standardization of polices and IT laws and self guided services. Artificial Intelligent techniques are also required to implement for smart governance. Currently Citizens are neutral to accept intelligent techniques.

Keywords: E-governance, fuzzy conjoint model, assessment analysis, adoption analysis, triangular fuzzy number, linguistics variable.

Graphical Abstract


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