Using social media for e-government services in Pakistan: The moderating role of digital information literacy

This study examines the role of trust and digital information literacy in influencing citizens’ intentions to adopt social media for e-government services. Grounded in the technology acceptance model (TAM), a research model was developed, focusing on social media-based e-government services. Hypotheses were formulated to assess the moderating role of DIL between trust in social media for e-government services and its antecedents (perceived usefulness, perceived ease of use, & information quality). Data were collected from 603 young Pakistani citizens who were familiar with e-government services and government social media platforms. Structural equation modeling was applied to test the hypotheses. Our findings reveal that trust in e-government services is a crucial factor influencing citizens’ intention to use social media for e-government services. Moreover, the results highlight that citizens’ perceptions about information quality, ease of use, and usefulness of social media platforms play a significant role in cultivating trust in e-government services and improving their usage intentions. The study also reported a positive moderating role of DIL between trust and its antecedents, indicating the need to develop citizens’ abilities to use social media for e-government services. The study contributes to understanding e-government adoption in Pakistan, providing practical recommendations for policymakers and government officials to enhance the design and delivery of e-government services through social media.

Authors

Institutions

Publication Details

Journal
Information Development
Published
2025-07-24
DOI
https://doi.org/10.1177/02666669251360726
Primary Topic
E-Government and Public Services
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using social media for e-government services in Pakistan: The moderating role of digital information literacy

Nosheen Akbar, Amara Malik
1 links
Information Development
E-Government and Public Services
article

Using social media for e-government services in Pakistan: The moderating role of digital information literacy

Nosheen Akbar, Amara Malik
article en

Abstract

This study examines the role of trust and digital information literacy in influencing citizens’ intentions to adopt social media for e-government services. Grounded in the technology acceptance model (TAM), a research model was developed, focusing on social media-based e-government services. Hypotheses were formulated to assess the moderating role of DIL between trust in social media for e-government services and its antecedents (perceived usefulness, perceived ease of use, & information quality). Data were collected from 603 young Pakistani citizens who were familiar with e-government services and government social media platforms. Structural equation modeling was applied to test the hypotheses. Our findings reveal that trust in e-government services is a crucial factor influencing citizens’ intention to use social media for e-government services. Moreover, the results highlight that citizens’ perceptions about information quality, ease of use, and usefulness of social media platforms play a significant role in cultivating trust in e-government services and improving their usage intentions. The study also reported a positive moderating role of DIL between trust and its antecedents, indicating the need to develop citizens’ abilities to use social media for e-government services. The study contributes to understanding e-government adoption in Pakistan, providing practical recommendations for policymakers and government officials to enhance the design and delivery of e-government services through social media.

Information Development
University of the Punjab (PK)
Openalex Percentile: Top 78%
E-Government and Public Services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.