ArticlePloS one2025
Factors influencing the adoption of e-government by female university students.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The primary purpose of electronic government (e-government) is to promote transparency, facilitate access to government services, and strengthen the accountability of public institutions in the digital transformation age. However, few studies have explored the factors that affect women's adoption of e-government, especially in emerging economies. Consequently, this study aims to identify the factors that influence the adoption of e-government services by young women in Medellín, Colombia. To achieve this objective, a questionnaire was administered to a sample of 223 women, focusing on the factors proposed in the Technology Acceptance Model (TAM). The results were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings confirmed the validity of both the measurement and structural models, providing evidence for their predictive power. In addition, seven out of the eight hypotheses were confirmed, particularly highlighting the positive influence of ease of use on perceived usefulness, as well as the positive relationship between intention to use and actual use of the system. The results underscore the importance of reaching a more equitable and empowering participation of women in the digital government sphere. Moreover, they provide valuable insights for formulating policies and strategies that promote the effective adoption of e-government services by the demographic group under study.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.