An empirical validation of a unified model of electronic government adoption (UMEGA)

Yogesh K. Dwivedi, Nripendra P. Rana, Marijn Janssen, Banita Lal, Michael D. Williams, Marc Clement

Research output: Contribution to journalArticleScientificpeer-review

232 Citations (Scopus)
45 Downloads (Pure)

Abstract

In electronic government (hereafter e-government), a large variety of technology adoption models are employed, which make researchers and policymakers puzzled about which one to use. In this research, nine well-known theoretical models of information technology adoption are evaluated and 29 different constructs are identified. A unified model of e-government adoption (UMEGA) is developed and validated using data gathered from 377 respondents from seven selected cities in India. The results indicate that the proposed unified model outperforms all other theoretical models, explaining the highest variance on behavioral intention, acceptable levels of fit indices, and significant relationships for each of the seven hypotheses. The UMEGA is a parsimonious model based on the e-government-specific context, whereas the constructs from the original technology adoption models were found to be inappropriate for the e-government context. By using the UMEGA, relevant e-government constructs were included. For further research, we recommend the development of e-government-specific scales.

Original languageEnglish
Pages (from-to)211-230
JournalGovernment Information Quarterly: an international journal of information technology management, policies, and practices
Volume34
Issue number2
DOIs
Publication statusPublished - 2017

Keywords

  • Adoption
  • Context
  • Diffusion
  • E-government
  • India
  • Social cognitive theory
  • UMEGA
  • Unified model

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