TY - JOUR
T1 - An empirical validation of a unified model of electronic government adoption (UMEGA)
AU - Dwivedi, Yogesh K.
AU - Rana, Nripendra P.
AU - Janssen, Marijn
AU - Lal, Banita
AU - Williams, Michael D.
AU - Clement, Marc
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Adoption
KW - Context
KW - Diffusion
KW - E-government
KW - India
KW - Social cognitive theory
KW - UMEGA
KW - Unified model
UR - http://resolver.tudelft.nl/uuid:2b15e4f8-066f-482b-a3c8-42a1393d4628
UR - http://www.scopus.com/inward/record.url?scp=85016509981&partnerID=8YFLogxK
U2 - 10.1016/j.giq.2017.03.001
DO - 10.1016/j.giq.2017.03.001
M3 - Article
AN - SCOPUS:85016509981
SN - 0740-624X
VL - 34
SP - 211
EP - 230
JO - Government Information Quarterly: an international journal of information technology management, policies, and practices
JF - Government Information Quarterly: an international journal of information technology management, policies, and practices
IS - 2
ER -