Use intention and behavior in e-government among rural women: An extension of the UTAUT-2 model

The promotion of e-government is a vital initiative for enhancing public service delivery, improving administrative efficiency, and advancing the modernization of governance. However, the factors influencing rural women's intention and behavior in using e-government services remain insufficiently understood. This study extends the UTAUT-2 by incorporating perceived security and digital literacy as additional variables. A mixed-methods approach, combining structural equation modeling (SEM) and artificial neural networks (ANN), was employed to identify the key determinants of rural women's intention to engage with e-government services. The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, habit, perceived security, and digital literacy significantly affect rural women's intention to use e-government services. The extended UTAUT-2 model explains 78.6% of the variance in their behavioral intention. Furthermore, a strong positive relationship was found between e-government usage intention and actual behavior, with education level also showing a significant positive impact on e-government usage behavior.

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Publication Details

Journal
Information Development
Published
2025-02-03
DOI
https://doi.org/10.1177/02666669251316512
Citations
2
Primary Topic
E-Government and Public Services
Type
article
Field-Weighted Citation Impact
17.04

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article

Use intention and behavior in e-government among rural women: An extension of the UTAUT-2 model

Xinyu Dong, Yongbiao Duan
2 citations
Information Development
E-Government and Public Services
17.04
article

Use intention and behavior in e-government among rural women: An extension of the UTAUT-2 model

Xinyu Dong, Yongbiao Duan
article en
2 citations

Abstract

The promotion of e-government is a vital initiative for enhancing public service delivery, improving administrative efficiency, and advancing the modernization of governance. However, the factors influencing rural women's intention and behavior in using e-government services remain insufficiently understood. This study extends the UTAUT-2 by incorporating perceived security and digital literacy as additional variables. A mixed-methods approach, combining structural equation modeling (SEM) and artificial neural networks (ANN), was employed to identify the key determinants of rural women's intention to engage with e-government services. The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, habit, perceived security, and digital literacy significantly affect rural women's intention to use e-government services. The extended UTAUT-2 model explains 78.6% of the variance in their behavioral intention. Furthermore, a strong positive relationship was found between e-government usage intention and actual behavior, with education level also showing a significant positive impact on e-government usage behavior.

Information Development
Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 2%
E-Government and Public Services
17.04
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