ArticleFrontiers in psychology2022
The Effects of eGovernment Efficiency on Subjective Wellbeing.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
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Who cites it
2 citing papers in PubMed.
- Digital government and residents' mental health in China: evidence on potential mechanisms and urban-rural heterogeneity.Frontiers in public health · 2026Article
- Perception of Official Corruption, Satisfaction With Government Performance, and Subjective Wellbeing-An Empirical Study From China.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Undoubtedly, the internet has become the most convenient and efficient communication and service delivery channel adopted by most government agencies, referred to as eGovernment. This study explores how eGovernment efficiency influences users' subjective wellbeing (SWB), using trust as a covert stimulus with the capacity to alter individuals' overt behavior (utilization). Covert and overt stimuli act as significant factors influencing the relationship between citizens and the online environment, moderated by socio-demographic characteristics. Using situation-organism-behavior-consequence theory, we propose a research model consisting of online environment eGovernment efficiency (the situation) influencing trust development (the organism), which in turn influences utilization (the behavior), generating an impact on an individuals' SWB (the consequence). We followed the structural equation modeling (SEM) approach to analyze the data survey
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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.