Adoption of E-Government Services
Sinawong Sang, Jeong‐Dong Lee, Jongsu Lee
Abstract
Sinawong Sang, Jeong‐Dong Lee, Jongsu Lee
Abstract
The purpose of this study is to assess and test the factors that influence user adoption of e-Government services: the Electronic Approval System (EAS). This study uses the Technology Acceptance Model (TAM), the extended TAM (TAM2), the Diffusion of Innovation (DOI), and trust to build a parsimonious yet comprehensive model of factors that influence user acceptance of the EAS. We collected data from a total of 112 public officers in 12 ministries in Cambodia. We assessed the model with regression analyses. The findings in this article show that the determinants of the model (perceived usefulness, relative advantage, and trust) explain 30.5% of the variance in user acceptance of the EAS. At the same time, image, output quality, and perceived ease of use explain 38.4% of the variance in user perception of the usefulness of the EAS. In this article, we discuss our findings, implications, and suggestions for future research.
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The purpose of this study is to assess and test the factors that influence user adoption of e-Government services: the Electronic Approval System (EAS). This study uses the Technology Acceptance Model (TAM), the extended TAM (TAM2), the Diffusion of Innovation (DOI), and trust to build a parsimonious yet comprehensive model of factors that influence user acceptance of the EAS. We collected data from a total of 112 public officers in 12 ministries in Cambodia. We assessed the model with regression analyses. The findings in this article show that the determinants of the model (perceived usefulness, relative advantage, and trust) explain 30.5% of the variance in user acceptance of the EAS. At the same time, image, output quality, and perceived ease of use explain 38.4% of the variance in user perception of the usefulness of the EAS. In this article, we discuss our findings, implications, and suggestions for future research.
Key concepts: Technology acceptance model, Variance (accounting), Usability, Government (linguistics), Perception, Quality (philosophy), Knowledge management, Test (biology)