383
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Mediating Roles of Service Innovation and Perceived Corruption in the Relationship between E-government and Citizens’ Satisfaction

Pages 437-451 | Published online: 02 Nov 2022
 

ABSTRACT

By taking the Electronic Satisfaction Satisfaction (EGOVSAT) model, this study examined the mediating roles of service innovation and perceived corruption in user satisfaction with e-government services. A total of 190 responses was collected from the e-government service users of the state of Odisha in India. The state of Odisha has adopted teamwork, transparency, technology, and timely service delivery for transforming governance (5-T framework). The focus is, of course, to achieve good governance by providing better services through the help of technology. A study on the role of service innovations and perceived corruption in an e-government framework has relevance for further strengthening of the 5-T framework. This research outcome supported the mediating role of service innovations in the relationship between e-government and citizens’ satisfaction, while rejecting the mediating role of perceived corruption. This study emphasizes the utility dimension of e-government and service innovations in an attempt to enhance citizens’ satisfaction.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 663.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.